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- 2011 – 2015 (51)
- 2006 – 2010 (19)

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- Docteur es (13)

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University of Edinburgh

1.
Zhu, Zhanxing.
Integrating local information for inference and *optimization* in machine learning.

Degree: PhD, 2016, University of Edinburgh

URL: http://hdl.handle.net/1842/20980

► In practice, machine learners often care about two key issues: one is how to obtain a more accurate answer with limited data, and the other…
(more)

Subjects/Keywords: 006.3; machine learning; large-scale optimization; large-scale Bayesian sampling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhu, Z. (2016). Integrating local information for inference and optimization in machine learning. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20980

Chicago Manual of Style (16^{th} Edition):

Zhu, Zhanxing. “Integrating local information for inference and optimization in machine learning.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed April 04, 2020. http://hdl.handle.net/1842/20980.

MLA Handbook (7^{th} Edition):

Zhu, Zhanxing. “Integrating local information for inference and optimization in machine learning.” 2016. Web. 04 Apr 2020.

Vancouver:

Zhu Z. Integrating local information for inference and optimization in machine learning. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1842/20980.

Council of Science Editors:

Zhu Z. Integrating local information for inference and optimization in machine learning. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20980

University of Ghana

2.
Katsekpor, T.
Iterative Methods for *Large* *Scale* Convex * Optimization*
.

Degree: 2017, University of Ghana

URL: http://ugspace.ug.edu.gh/handle/123456789/23393

► This thesis presents a detailed description and analysis of Bregman’s iterative method for convex programming with linear constraints. Row and block action methods for *large*…
(more)

Subjects/Keywords: Iterative Methods; Large Scale Convex; Optimization

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APA (6^{th} Edition):

Katsekpor, T. (2017). Iterative Methods for Large Scale Convex Optimization . (Doctoral Dissertation). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/23393

Chicago Manual of Style (16^{th} Edition):

Katsekpor, T. “Iterative Methods for Large Scale Convex Optimization .” 2017. Doctoral Dissertation, University of Ghana. Accessed April 04, 2020. http://ugspace.ug.edu.gh/handle/123456789/23393.

MLA Handbook (7^{th} Edition):

Katsekpor, T. “Iterative Methods for Large Scale Convex Optimization .” 2017. Web. 04 Apr 2020.

Vancouver:

Katsekpor T. Iterative Methods for Large Scale Convex Optimization . [Internet] [Doctoral dissertation]. University of Ghana; 2017. [cited 2020 Apr 04]. Available from: http://ugspace.ug.edu.gh/handle/123456789/23393.

Council of Science Editors:

Katsekpor T. Iterative Methods for Large Scale Convex Optimization . [Doctoral Dissertation]. University of Ghana; 2017. Available from: http://ugspace.ug.edu.gh/handle/123456789/23393

University of Toronto

3.
Luong, Curtiss.
An Examination of Benders' Decomposition Approaches in *Large*-*scale* Healthcare *Optimization* Problems.

Degree: 2015, University of Toronto

URL: http://hdl.handle.net/1807/69687

►

Benders' decomposition is an important tool used to solve *large*-*scale* *optimization* problems found in healthcare. Radiation therapy and operating room planning and scheduling are two…
(more)

Subjects/Keywords: Benders; large-scale; optimization; planning; 0546

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APA (6^{th} Edition):

Luong, C. (2015). An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/69687

Chicago Manual of Style (16^{th} Edition):

Luong, Curtiss. “An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems.” 2015. Masters Thesis, University of Toronto. Accessed April 04, 2020. http://hdl.handle.net/1807/69687.

MLA Handbook (7^{th} Edition):

Luong, Curtiss. “An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems.” 2015. Web. 04 Apr 2020.

Vancouver:

Luong C. An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1807/69687.

Council of Science Editors:

Luong C. An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69687

Purdue University

4.
Seth, Arpan.
ADVANCED MODELING AND EFFICIENT *OPTIMIZATION* METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS.

Degree: PhD, Chemical Engineering, 2015, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1316

► In response to a contamination incident in water distribution networks, effective mitigation procedures must be planned. Disinfectant booster stations can be used to neutralize a…
(more)

Subjects/Keywords: Large-scale; Modeling; Optimization; Water Networks

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APA (6^{th} Edition):

Seth, A. (2015). ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1316

Chicago Manual of Style (16^{th} Edition):

Seth, Arpan. “ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS.” 2015. Doctoral Dissertation, Purdue University. Accessed April 04, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1316.

MLA Handbook (7^{th} Edition):

Seth, Arpan. “ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS.” 2015. Web. 04 Apr 2020.

Vancouver:

Seth A. ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2020 Apr 04]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1316.

Council of Science Editors:

Seth A. ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1316

University of Edinburgh

5.
Fountoulakis, Kimon.
Higher-order methods for *large*-*scale* * optimization*.

Degree: PhD, 2015, University of Edinburgh

URL: http://hdl.handle.net/1842/15797

► There has been an increased interest in *optimization* for the analysis of *large*-*scale* data sets which require gigabytes or terabytes of data to be stored.…
(more)

Subjects/Keywords: large-scale optimization; Newton-type methods; preconditioning

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APA (6^{th} Edition):

Fountoulakis, K. (2015). Higher-order methods for large-scale optimization. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15797

Chicago Manual of Style (16^{th} Edition):

Fountoulakis, Kimon. “Higher-order methods for large-scale optimization.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed April 04, 2020. http://hdl.handle.net/1842/15797.

MLA Handbook (7^{th} Edition):

Fountoulakis, Kimon. “Higher-order methods for large-scale optimization.” 2015. Web. 04 Apr 2020.

Vancouver:

Fountoulakis K. Higher-order methods for large-scale optimization. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1842/15797.

Council of Science Editors:

Fountoulakis K. Higher-order methods for large-scale optimization. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/15797

6.
Lin, Hongzhou.
Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based *optimization* in machine learning.

Degree: Docteur es, Mathématiques et informatique, 2017, Grenoble Alpes

URL: http://www.theses.fr/2017GREAM069

► Les problèmes d’optimisation apparaissent naturellement pendant l’entraine-ment de modèles d’apprentissage supervises. Un exemple typique est le problème deminimisation du risque empirique (ERM), qui vise a…
(more)

Subjects/Keywords: Apprentissage statistique; Large échelle; Optimization; Accélération; Machine learning; Large-Scale; Optimization; Acceleration; 004; 510

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Lin, H. (2017). Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2017GREAM069

Chicago Manual of Style (16^{th} Edition):

Lin, Hongzhou. “Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning.” 2017. Doctoral Dissertation, Grenoble Alpes. Accessed April 04, 2020. http://www.theses.fr/2017GREAM069.

MLA Handbook (7^{th} Edition):

Lin, Hongzhou. “Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning.” 2017. Web. 04 Apr 2020.

Vancouver:

Lin H. Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2017. [cited 2020 Apr 04]. Available from: http://www.theses.fr/2017GREAM069.

Council of Science Editors:

Lin H. Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning. [Doctoral Dissertation]. Grenoble Alpes; 2017. Available from: http://www.theses.fr/2017GREAM069

Carnegie Mellon University

7.
Reddi, Sashank Jakkam.
New *Optimization* Methods for Modern Machine Learning.

Degree: 2017, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1116

► Modern machine learning systems pose several new statistical, scalability, privacy and ethical challenges. With the advent of massive datasets and increasingly complex tasks, scalability has…
(more)

Subjects/Keywords: Machine Learning; Optimization; Large-scale; Distributed optimization; Communication-efficient; Finite-sum

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APA (6^{th} Edition):

Reddi, S. J. (2017). New Optimization Methods for Modern Machine Learning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1116

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Reddi, Sashank Jakkam. “New Optimization Methods for Modern Machine Learning.” 2017. Thesis, Carnegie Mellon University. Accessed April 04, 2020. http://repository.cmu.edu/dissertations/1116.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Reddi, Sashank Jakkam. “New Optimization Methods for Modern Machine Learning.” 2017. Web. 04 Apr 2020.

Vancouver:

Reddi SJ. New Optimization Methods for Modern Machine Learning. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Apr 04]. Available from: http://repository.cmu.edu/dissertations/1116.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reddi SJ. New Optimization Methods for Modern Machine Learning. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1116

Not specified: Masters Thesis or Doctoral Dissertation

UCLA

8.
Sun, Yifan.
Decomposition methods for semidefinite * optimization*.

Degree: Electrical Engineering, 2015, UCLA

URL: http://www.escholarship.org/uc/item/1cv6981p

► Semidefinite *optimization* problems (SDPs) arise in many applications, including combinatorial *optimization*, control and signal processing, structural *optimization*, statistics, and machine learning. Currently, most SDPs are…
(more)

Subjects/Keywords: Electrical engineering; decomposition; first-order methods; large-scale optimization; semidefinite optimization

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APA (6^{th} Edition):

Sun, Y. (2015). Decomposition methods for semidefinite optimization. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/1cv6981p

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sun, Yifan. “Decomposition methods for semidefinite optimization.” 2015. Thesis, UCLA. Accessed April 04, 2020. http://www.escholarship.org/uc/item/1cv6981p.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sun, Yifan. “Decomposition methods for semidefinite optimization.” 2015. Web. 04 Apr 2020.

Vancouver:

Sun Y. Decomposition methods for semidefinite optimization. [Internet] [Thesis]. UCLA; 2015. [cited 2020 Apr 04]. Available from: http://www.escholarship.org/uc/item/1cv6981p.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun Y. Decomposition methods for semidefinite optimization. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/1cv6981p

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

9.
Marcos, Natalia I.
Coordinated-distributed optimal control of *large*-*scale*
linear dynamic systems.

Degree: PhD, Department of Chemical and Materials Engineering, 2011, University of Alberta

URL: https://era.library.ualberta.ca/files/gm80hw111

► Since the late 1970s, the design of chemical processes has evolved towards highly integrated operations that can increase plant efficiency. Although plant-wide integration offers substantial…
(more)

Subjects/Keywords: distributed control; hierarchical control; large-scale optimization; coordination; optimal control; decomposition

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APA (6^{th} Edition):

Marcos, N. I. (2011). Coordinated-distributed optimal control of large-scale linear dynamic systems. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/gm80hw111

Chicago Manual of Style (16^{th} Edition):

Marcos, Natalia I. “Coordinated-distributed optimal control of large-scale linear dynamic systems.” 2011. Doctoral Dissertation, University of Alberta. Accessed April 04, 2020. https://era.library.ualberta.ca/files/gm80hw111.

MLA Handbook (7^{th} Edition):

Marcos, Natalia I. “Coordinated-distributed optimal control of large-scale linear dynamic systems.” 2011. Web. 04 Apr 2020.

Vancouver:

Marcos NI. Coordinated-distributed optimal control of large-scale linear dynamic systems. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2020 Apr 04]. Available from: https://era.library.ualberta.ca/files/gm80hw111.

Council of Science Editors:

Marcos NI. Coordinated-distributed optimal control of large-scale linear dynamic systems. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/gm80hw111

Carnegie Mellon University

10. Dai, Wei. Learning with Staleness.

Degree: 2018, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1209

► A fundamental assumption behind most machine learning (ML) algorithms and analyses is the sequential execution. That is, any update to the ML model can be…
(more)

Subjects/Keywords: Large Scale Machine Learning; Distributed Optimization Method; Distributed System; Parameter Server

Record Details Similar Records

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APA (6^{th} Edition):

Dai, W. (2018). Learning with Staleness. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1209

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Dai, Wei. “Learning with Staleness.” 2018. Thesis, Carnegie Mellon University. Accessed April 04, 2020. http://repository.cmu.edu/dissertations/1209.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dai, Wei. “Learning with Staleness.” 2018. Web. 04 Apr 2020.

Vancouver:

Dai W. Learning with Staleness. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2020 Apr 04]. Available from: http://repository.cmu.edu/dissertations/1209.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dai W. Learning with Staleness. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1209

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

11.
Rabbani, Tarek.
Topics in *Large*-*Scale* Sparse Estimation and Control.

Degree: Mechanical Engineering, 2013, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/9bv5600v

► In this thesis, we study two topics related to *large*-*scale* sparseestimation and control. In the first topic, we describe a method toeliminate features (variables) in…
(more)

Subjects/Keywords: Engineering; Computer science; Classification; Large-Scale Optimization; Machine Learning

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APA (6^{th} Edition):

Rabbani, T. (2013). Topics in Large-Scale Sparse Estimation and Control. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9bv5600v

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Rabbani, Tarek. “Topics in Large-Scale Sparse Estimation and Control.” 2013. Thesis, University of California – Berkeley. Accessed April 04, 2020. http://www.escholarship.org/uc/item/9bv5600v.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rabbani, Tarek. “Topics in Large-Scale Sparse Estimation and Control.” 2013. Web. 04 Apr 2020.

Vancouver:

Rabbani T. Topics in Large-Scale Sparse Estimation and Control. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Apr 04]. Available from: http://www.escholarship.org/uc/item/9bv5600v.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rabbani T. Topics in Large-Scale Sparse Estimation and Control. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/9bv5600v

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

12.
Shi, Xiao Qi.
Optimized Decentralized Control of *Large* Dynamic Structures.

Degree: 2015, University of Toronto

URL: http://hdl.handle.net/1807/70685

►

This thesis has proposed a new optimal decentralized controller design method for solving the tracking and disturbance rejection problems for the class of *large* *scale*…
(more)

Subjects/Keywords: Large Scale System; Optimization; PID Control; System Control; 0537

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Shi, X. Q. (2015). Optimized Decentralized Control of Large Dynamic Structures. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70685

Chicago Manual of Style (16^{th} Edition):

Shi, Xiao Qi. “Optimized Decentralized Control of Large Dynamic Structures.” 2015. Masters Thesis, University of Toronto. Accessed April 04, 2020. http://hdl.handle.net/1807/70685.

MLA Handbook (7^{th} Edition):

Shi, Xiao Qi. “Optimized Decentralized Control of Large Dynamic Structures.” 2015. Web. 04 Apr 2020.

Vancouver:

Shi XQ. Optimized Decentralized Control of Large Dynamic Structures. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1807/70685.

Council of Science Editors:

Shi XQ. Optimized Decentralized Control of Large Dynamic Structures. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70685

University of New South Wales

13. Maghrebi, Mojtaba. Using Machine Learning to Automatically Plan Concrete Delivery Dispatching.

Degree: Civil & Environmental Engineering, 2014, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true

► Demand for concrete, regardless of the geographical location, is increasing globally. While the Ready Mixed Concrete (RMC) industry is facing an ever-increasing demand for concrete,…
(more)

Subjects/Keywords: Large scale optimization; Concrete delivery; Machine learning; Experts’ decisions

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Maghrebi, M. (2014). Using Machine Learning to Automatically Plan Concrete Delivery Dispatching. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Maghrebi, Mojtaba. “Using Machine Learning to Automatically Plan Concrete Delivery Dispatching.” 2014. Doctoral Dissertation, University of New South Wales. Accessed April 04, 2020. http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Maghrebi, Mojtaba. “Using Machine Learning to Automatically Plan Concrete Delivery Dispatching.” 2014. Web. 04 Apr 2020.

Vancouver:

Maghrebi M. Using Machine Learning to Automatically Plan Concrete Delivery Dispatching. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Apr 04]. Available from: http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true.

Council of Science Editors:

Maghrebi M. Using Machine Learning to Automatically Plan Concrete Delivery Dispatching. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true

University of Southern California

14.
Jain, Manish.
Thwarting adversaries with unpredictability: massive-*scale*
game-theoretic algorithms for real-world security
deployments.

Degree: PhD, Computer Science, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484

► Protecting critical infrastructure and targets such as airports, transportation networks, power generation facilities as well as critical natural resources and endangered species is an important…
(more)

Subjects/Keywords: game theory; security; large scale optimization; multi-agent systems; artificial intelligence

Record Details Similar Records

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APA (6^{th} Edition):

Jain, M. (2013). Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484

Chicago Manual of Style (16^{th} Edition):

Jain, Manish. “Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments.” 2013. Doctoral Dissertation, University of Southern California. Accessed April 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484.

MLA Handbook (7^{th} Edition):

Jain, Manish. “Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments.” 2013. Web. 04 Apr 2020.

Vancouver:

Jain M. Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Apr 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484.

Council of Science Editors:

Jain M. Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484

Anna University

15.
Jackuline moni D.
Certain *optimization* techniques for Floorplanning in vlsi
physical design;.

Degree: Certain optimization techniques for Floorplanning in vlsi physical design, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/27186

►

newlineFloorplanning is an important stage in VLSI Very *Large* *Scale* newlineIntegrated Circuits physical design cycle as it determines the performance newlinesize and reliability of VLSI…
(more)

Subjects/Keywords: Differential Evolution; Hybrid Particle Swarm Optimization; Particle Swarm Optimization; Very Large Scale Integrated

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

D, J. m. (2014). Certain optimization techniques for Floorplanning in vlsi physical design;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27186

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

D, Jackuline moni. “Certain optimization techniques for Floorplanning in vlsi physical design;.” 2014. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/27186.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

D, Jackuline moni. “Certain optimization techniques for Floorplanning in vlsi physical design;.” 2014. Web. 04 Apr 2020.

Vancouver:

D Jm. Certain optimization techniques for Floorplanning in vlsi physical design;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27186.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

D Jm. Certain optimization techniques for Floorplanning in vlsi physical design;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27186

Not specified: Masters Thesis or Doctoral Dissertation

University of Cincinnati

16.
HomChaudhuri, Baisravan.
Price-Based Distributed *Optimization* in *Large*-*Scale*
Networked Systems.

Degree: PhD, Engineering and Applied Science: Mechanical Engineering, 2013, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426

► This work is intended towards the development of distributed *optimization* methods for *large*-*scale* networked systems. The advancement in technological fields such as networking, communication and…
(more)

Subjects/Keywords: Mechanics; Distributed Optimization; Mathematical Optimization; Multi-Agent Systems; Market-Based Methods; Large-Scale Networked Systems

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

HomChaudhuri, B. (2013). Price-Based Distributed Optimization in Large-Scale Networked Systems. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426

Chicago Manual of Style (16^{th} Edition):

HomChaudhuri, Baisravan. “Price-Based Distributed Optimization in Large-Scale Networked Systems.” 2013. Doctoral Dissertation, University of Cincinnati. Accessed April 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426.

MLA Handbook (7^{th} Edition):

HomChaudhuri, Baisravan. “Price-Based Distributed Optimization in Large-Scale Networked Systems.” 2013. Web. 04 Apr 2020.

Vancouver:

HomChaudhuri B. Price-Based Distributed Optimization in Large-Scale Networked Systems. [Internet] [Doctoral dissertation]. University of Cincinnati; 2013. [cited 2020 Apr 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426.

Council of Science Editors:

HomChaudhuri B. Price-Based Distributed Optimization in Large-Scale Networked Systems. [Doctoral Dissertation]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426

RMIT University

17.
Omidvar, M.
Cooperative co-evolutionary algorithms for *large*-*scale* * optimization*.

Degree: 2015, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:161713

► The aim of this research is to investigate the use of a divide-and-conquer approach for solving continuous *large*-*scale* global *optimization* problems using evolutionary methods. The…
(more)

Subjects/Keywords: Fields of Research; Large-scale optimization; Cooperative co-evolution; Evolutionary algorithms; Problem decomposition; Global optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Omidvar, M. (2015). Cooperative co-evolutionary algorithms for large-scale optimization. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:161713

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Omidvar, M. “Cooperative co-evolutionary algorithms for large-scale optimization.” 2015. Thesis, RMIT University. Accessed April 04, 2020. http://researchbank.rmit.edu.au/view/rmit:161713.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Omidvar, M. “Cooperative co-evolutionary algorithms for large-scale optimization.” 2015. Web. 04 Apr 2020.

Vancouver:

Omidvar M. Cooperative co-evolutionary algorithms for large-scale optimization. [Internet] [Thesis]. RMIT University; 2015. [cited 2020 Apr 04]. Available from: http://researchbank.rmit.edu.au/view/rmit:161713.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Omidvar M. Cooperative co-evolutionary algorithms for large-scale optimization. [Thesis]. RMIT University; 2015. Available from: http://researchbank.rmit.edu.au/view/rmit:161713

Not specified: Masters Thesis or Doctoral Dissertation

Cleveland State University

18.
Borotikar, Bhushan S.
* Subject* Specific Computational Models of the Knee to Predict
Anterior Cruciate Ligament Injury.

Degree: Doctor of Engineering, Fenn College of Engineering, 2009, Cleveland State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363

► Knee joint is a complex joint involving multiple interactions between cartilage, bone, muscles, ligaments, tendons and neural control. Anterior Cruciate Ligament (ACL) is one…
(more)

Subjects/Keywords: Biomedical Research; knee joint model; ACL; biomechanics; large scale optimization; ACL injury; knee biomechanics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Borotikar, B. S. (2009). Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury. (Doctoral Dissertation). Cleveland State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363

Chicago Manual of Style (16^{th} Edition):

Borotikar, Bhushan S. “Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury.” 2009. Doctoral Dissertation, Cleveland State University. Accessed April 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363.

MLA Handbook (7^{th} Edition):

Borotikar, Bhushan S. “Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury.” 2009. Web. 04 Apr 2020.

Vancouver:

Borotikar BS. Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury. [Internet] [Doctoral dissertation]. Cleveland State University; 2009. [cited 2020 Apr 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363.

Council of Science Editors:

Borotikar BS. Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury. [Doctoral Dissertation]. Cleveland State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363

19.
Ding, Jing.
An Optimal Adaptive Routing Algorithm for *Large*-*scale* Stochastic Time-Dependent Networks.

Degree: MSin Civil Engineering (M.S.C.E.), Civil Engineering, 2012, U of Massachusetts : Masters

URL: http://scholarworks.umass.edu/theses/902

► The objective of the research is to study optimal routing policy (ORP) problems and to develop an optimal adaptive routing algorithm practical for *large*-*scale*…
(more)

Subjects/Keywords: Routing Policy; Adaptive Routing; Stochastic; Time-dependent; Network Optimization; Large-scale Networks; Civil Engineering

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ding, J. (2012). An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. (Masters Thesis). U of Massachusetts : Masters. Retrieved from http://scholarworks.umass.edu/theses/902

Chicago Manual of Style (16^{th} Edition):

Ding, Jing. “An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.” 2012. Masters Thesis, U of Massachusetts : Masters. Accessed April 04, 2020. http://scholarworks.umass.edu/theses/902.

MLA Handbook (7^{th} Edition):

Ding, Jing. “An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.” 2012. Web. 04 Apr 2020.

Vancouver:

Ding J. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. [Internet] [Masters thesis]. U of Massachusetts : Masters; 2012. [cited 2020 Apr 04]. Available from: http://scholarworks.umass.edu/theses/902.

Council of Science Editors:

Ding J. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. [Masters Thesis]. U of Massachusetts : Masters; 2012. Available from: http://scholarworks.umass.edu/theses/902

Delft University of Technology

20.
Spiridon, V.L.
A Genetic Approach to Programming *Large*-*Scale* Systems:.

Degree: 2013, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89

► In recent years, there is an increasing interest in the scientific community for development of algorithms targeting *large*-*scale* networks. In addition to their sheer size,…
(more)

Subjects/Keywords: Genetic Programming; Large-Scale Systems; Distributed Algorithms; Algorithm Discovery; Scalability; Wireless Sensor Networks; Optimization Heuristics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Spiridon, V. L. (2013). A Genetic Approach to Programming Large-Scale Systems:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89

Chicago Manual of Style (16^{th} Edition):

Spiridon, V L. “A Genetic Approach to Programming Large-Scale Systems:.” 2013. Masters Thesis, Delft University of Technology. Accessed April 04, 2020. http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89.

MLA Handbook (7^{th} Edition):

Spiridon, V L. “A Genetic Approach to Programming Large-Scale Systems:.” 2013. Web. 04 Apr 2020.

Vancouver:

Spiridon VL. A Genetic Approach to Programming Large-Scale Systems:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Apr 04]. Available from: http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89.

Council of Science Editors:

Spiridon VL. A Genetic Approach to Programming Large-Scale Systems:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89

Georgia Tech

21. Yan, Hao. High dimensional data analysis for anomaly detection and quality improvement.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

URL: http://hdl.handle.net/1853/60138

► Analysis of *large*-*scale* high-dimensional data with a complex heterogeneous data structure to extract information or useful features is vital for the purpose of data fusion…
(more)

Subjects/Keywords: High-dimensional data; Large-scale optimization; Real time analysis; Process monitoring; Tensor

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yan, H. (2017). High dimensional data analysis for anomaly detection and quality improvement. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60138

Chicago Manual of Style (16^{th} Edition):

Yan, Hao. “High dimensional data analysis for anomaly detection and quality improvement.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 04, 2020. http://hdl.handle.net/1853/60138.

MLA Handbook (7^{th} Edition):

Yan, Hao. “High dimensional data analysis for anomaly detection and quality improvement.” 2017. Web. 04 Apr 2020.

Vancouver:

Yan H. High dimensional data analysis for anomaly detection and quality improvement. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1853/60138.

Council of Science Editors:

Yan H. High dimensional data analysis for anomaly detection and quality improvement. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60138

Florida Atlantic University

22. Gottipati, Chenchu B. Graph labeling and non-separating trees.

Degree: 2014, Florida Atlantic University

URL: http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289

►

Summary: This dissertation studies two independent problems, one is about graph labeling and the other problem is related to connectivity condition in a simple graph.… (more)

Subjects/Keywords: Computational complexity; Computer graphics; Graph theory; Integrated circuits – Very large scale integration; Mathematical optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Gottipati, C. B. (2014). Graph labeling and non-separating trees. (Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Gottipati, Chenchu B. “Graph labeling and non-separating trees.” 2014. Thesis, Florida Atlantic University. Accessed April 04, 2020. http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gottipati, Chenchu B. “Graph labeling and non-separating trees.” 2014. Web. 04 Apr 2020.

Vancouver:

Gottipati CB. Graph labeling and non-separating trees. [Internet] [Thesis]. Florida Atlantic University; 2014. [cited 2020 Apr 04]. Available from: http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gottipati CB. Graph labeling and non-separating trees. [Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289

Not specified: Masters Thesis or Doctoral Dissertation

23.
Ait Elhara, Ouassim.
Stochastic Black-Box *Optimization* and Benchmarking in *Large* Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions.

Degree: Docteur es, Informatique, 2017, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2017SACLS211

►

Etant donné le coût élevé qui accompagne, en général, la résolution de problème en grandes dimensions, notamment quand il s'agit de problèmes réels; le recours… (more)

Subjects/Keywords: Optimisation continue; Benchmarking; Stratégies d'évolution; Grandes dimensions; Continuous optimization; Benchmarking; Evolution strategies; Large scale

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ait Elhara, O. (2017). Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLS211

Chicago Manual of Style (16^{th} Edition):

Ait Elhara, Ouassim. “Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed April 04, 2020. http://www.theses.fr/2017SACLS211.

MLA Handbook (7^{th} Edition):

Ait Elhara, Ouassim. “Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions.” 2017. Web. 04 Apr 2020.

Vancouver:

Ait Elhara O. Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2020 Apr 04]. Available from: http://www.theses.fr/2017SACLS211.

Council of Science Editors:

Ait Elhara O. Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLS211

University of Illinois – Urbana-Champaign

24. Williams, Matthew A. A hierarchical control strategy for aircraft thermal systems.

Degree: MS, 0133, 2014, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/50649

► Aircraft systems present an interesting control problem given the fact that there exist multiple objectives, actuators, and physical dependencies throughout the system. For decades the…
(more)

Subjects/Keywords: Modeling and Control; Large-scale systems; Aircraft thermal systems; Model predictive control; Optimization; Thermal energy

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Williams, M. A. (2014). A hierarchical control strategy for aircraft thermal systems. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50649

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Williams, Matthew A. “A hierarchical control strategy for aircraft thermal systems.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed April 04, 2020. http://hdl.handle.net/2142/50649.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Williams, Matthew A. “A hierarchical control strategy for aircraft thermal systems.” 2014. Web. 04 Apr 2020.

Vancouver:

Williams MA. A hierarchical control strategy for aircraft thermal systems. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/2142/50649.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Williams MA. A hierarchical control strategy for aircraft thermal systems. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50649

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

25. Ramezani, Hani. WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones.

Degree: PhD, Civil Engineering, 2016, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/90917

► Speed harmonization, known as Variable Speed Limit (VSL), is implemented through a number of Changeable Message Signs (CMSs) spaced out over a stretch of highway.…
(more)

Subjects/Keywords: Speed harmonization; variable speed limit; second order model; large scale optimization; mixed integer nonlinear program

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ramezani, H. (2016). WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90917

Chicago Manual of Style (16^{th} Edition):

Ramezani, Hani. “WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 04, 2020. http://hdl.handle.net/2142/90917.

MLA Handbook (7^{th} Edition):

Ramezani, Hani. “WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones.” 2016. Web. 04 Apr 2020.

Vancouver:

Ramezani H. WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/2142/90917.

Council of Science Editors:

Ramezani H. WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90917

University of Minnesota

26.
Hu, Bin.
A Robust Control Perspective on *Optimization* of Strongly-Convex Functions.

Degree: PhD, Aerospace Engineering and Mechanics, 2016, University of Minnesota

URL: http://hdl.handle.net/11299/182283

► *Large*-*scale* *optimization* is a central topic in big data science. First-order black-box *optimization* methods have been widely applied in machine learning problems, since the oracle…
(more)

Subjects/Keywords: Integral Quadratic Constraints; Large-Scale Optimization; Machine Learning; Robust Control; Stochastic Average Gradient; Stochastic Gradient

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hu, B. (2016). A Robust Control Perspective on Optimization of Strongly-Convex Functions. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182283

Chicago Manual of Style (16^{th} Edition):

Hu, Bin. “A Robust Control Perspective on Optimization of Strongly-Convex Functions.” 2016. Doctoral Dissertation, University of Minnesota. Accessed April 04, 2020. http://hdl.handle.net/11299/182283.

MLA Handbook (7^{th} Edition):

Hu, Bin. “A Robust Control Perspective on Optimization of Strongly-Convex Functions.” 2016. Web. 04 Apr 2020.

Vancouver:

Hu B. A Robust Control Perspective on Optimization of Strongly-Convex Functions. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11299/182283.

Council of Science Editors:

Hu B. A Robust Control Perspective on Optimization of Strongly-Convex Functions. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182283

Lehigh University

27.
Liu, Jie.
Recent Advances in Randomized Methods for Big Data * Optimization*.

Degree: PhD, Information and Systems Engineering, 2018, Lehigh University

URL: https://preserve.lehigh.edu/etd/4356

► In this thesis, we discuss and develop randomized algorithms for big data problems. In particular, we study the finite-sum *optimization* with newly emerged variance- reduction…
(more)

Subjects/Keywords: Big Data Optimization; Large-scale Optimization; Machine Learning; Power Systems; Randomized Methods; Computer and Systems Architecture

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Liu, J. (2018). Recent Advances in Randomized Methods for Big Data Optimization. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4356

Chicago Manual of Style (16^{th} Edition):

Liu, Jie. “Recent Advances in Randomized Methods for Big Data Optimization.” 2018. Doctoral Dissertation, Lehigh University. Accessed April 04, 2020. https://preserve.lehigh.edu/etd/4356.

MLA Handbook (7^{th} Edition):

Liu, Jie. “Recent Advances in Randomized Methods for Big Data Optimization.” 2018. Web. 04 Apr 2020.

Vancouver:

Liu J. Recent Advances in Randomized Methods for Big Data Optimization. [Internet] [Doctoral dissertation]. Lehigh University; 2018. [cited 2020 Apr 04]. Available from: https://preserve.lehigh.edu/etd/4356.

Council of Science Editors:

Liu J. Recent Advances in Randomized Methods for Big Data Optimization. [Doctoral Dissertation]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4356

Brock University

28.
Douglas, Jay.
Eﬃcient Merging and Decomposition Variants of Cooperative Particle Swarm *Optimization* for *Large* *Scale* Problems
.

Degree: Department of Computer Science, Brock University

URL: http://hdl.handle.net/10464/13876

► For *large*-*scale* *optimization* problems (LSOPs), an increased problem size reduces performance by both increasing the landscape complexity, as well as exponentially increasing the search space…
(more)

Subjects/Keywords: Large-scale Optimization; Particle Swarm Optimization; Cooperative; Merging; Decomposition

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Douglas, J. (n.d.). Eﬃcient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/13876

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Douglas, Jay. “Eﬃcient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems .” Thesis, Brock University. Accessed April 04, 2020. http://hdl.handle.net/10464/13876.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Douglas, Jay. “Eﬃcient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems .” Web. 04 Apr 2020.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Vancouver:

Douglas J. Eﬃcient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems . [Internet] [Thesis]. Brock University; [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10464/13876.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

No year of publication.

Council of Science Editors:

Douglas J. Eﬃcient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems . [Thesis]. Brock University; Available from: http://hdl.handle.net/10464/13876

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

No year of publication.

Iowa State University

29.
Murugaiyan, Suresh.
Modeling requirements to value formulation in the design of *large*-*scale* complex engineered systems: A satellite system case study.

Degree: 2017, Iowa State University

URL: https://lib.dr.iastate.edu/etd/16523

► *Large*-*scale* complex engineered systems (LSCES) are naturally a part of different areas of aerospace engineering and are typically characterized by high cost, high risk and…
(more)

Subjects/Keywords: large scale complex engineered systems; Multidisciplinary design optimization; optimization; Requirements; Systems engineering; Value driven design; Aerospace Engineering; Industrial Engineering; Mechanical Engineering

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Murugaiyan, S. (2017). Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16523

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Murugaiyan, Suresh. “Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study.” 2017. Thesis, Iowa State University. Accessed April 04, 2020. https://lib.dr.iastate.edu/etd/16523.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Murugaiyan, Suresh. “Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study.” 2017. Web. 04 Apr 2020.

Vancouver:

Murugaiyan S. Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study. [Internet] [Thesis]. Iowa State University; 2017. [cited 2020 Apr 04]. Available from: https://lib.dr.iastate.edu/etd/16523.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Murugaiyan S. Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16523

Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

30. Sun, Yuan. On the analysis of interaction between decision variables.

Degree: 2017, University of Melbourne

URL: http://hdl.handle.net/11343/208936

► Many real-world design and decision-making problems are characterized by the interactions between decision variables. In engineering *optimization* problems, the effects of one input variable on…
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Subjects/Keywords: artificial intelligence; evolutionary computation; continuous optimization; classification; feature selection; variable interaction; exploratory landscape analysis; cooperative co-evolution; large-scale optimization

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APA (6^{th} Edition):

Sun, Y. (2017). On the analysis of interaction between decision variables. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/208936

Chicago Manual of Style (16^{th} Edition):

Sun, Yuan. “On the analysis of interaction between decision variables.” 2017. Doctoral Dissertation, University of Melbourne. Accessed April 04, 2020. http://hdl.handle.net/11343/208936.

MLA Handbook (7^{th} Edition):

Sun, Yuan. “On the analysis of interaction between decision variables.” 2017. Web. 04 Apr 2020.

Vancouver:

Sun Y. On the analysis of interaction between decision variables. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11343/208936.

Council of Science Editors:

Sun Y. On the analysis of interaction between decision variables. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/208936