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You searched for subject:(Online optimization). Showing records 1 – 30 of 123 total matches.

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Delft University of Technology

1. Zattoni Scroccaro, Pedro (author). Online Convex Optimization with Predictions: Static and Dynamic Environments.

Degree: 2020, Delft University of Technology

In this thesis, we study Online Convex Optimization algorithms that exploit predictive and/or dynamical information about a problem instance. These features are inspired by recent… (more)

Subjects/Keywords: Online Convex Optimization; Prediction; Online Learning

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APA (6th Edition):

Zattoni Scroccaro, P. (. (2020). Online Convex Optimization with Predictions: Static and Dynamic Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ce13b0da-fb0a-4e9f-b5a4-ef9b0dadf29b

Chicago Manual of Style (16th Edition):

Zattoni Scroccaro, Pedro (author). “Online Convex Optimization with Predictions: Static and Dynamic Environments.” 2020. Masters Thesis, Delft University of Technology. Accessed December 01, 2020. http://resolver.tudelft.nl/uuid:ce13b0da-fb0a-4e9f-b5a4-ef9b0dadf29b.

MLA Handbook (7th Edition):

Zattoni Scroccaro, Pedro (author). “Online Convex Optimization with Predictions: Static and Dynamic Environments.” 2020. Web. 01 Dec 2020.

Vancouver:

Zattoni Scroccaro P(. Online Convex Optimization with Predictions: Static and Dynamic Environments. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Dec 01]. Available from: http://resolver.tudelft.nl/uuid:ce13b0da-fb0a-4e9f-b5a4-ef9b0dadf29b.

Council of Science Editors:

Zattoni Scroccaro P(. Online Convex Optimization with Predictions: Static and Dynamic Environments. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:ce13b0da-fb0a-4e9f-b5a4-ef9b0dadf29b


Georgia Tech

2. Karabulut, Ezgi. Distributed integer programming.

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

 In this thesis, we study distributed integer programming problems that involve multiple players with integer programming problems linked together with a common resource constraint. Our… (more)

Subjects/Keywords: Decentralized optimization; Resource allocation; Concavity; Online optimization

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APA (6th Edition):

Karabulut, E. (2017). Distributed integer programming. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59194

Chicago Manual of Style (16th Edition):

Karabulut, Ezgi. “Distributed integer programming.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/59194.

MLA Handbook (7th Edition):

Karabulut, Ezgi. “Distributed integer programming.” 2017. Web. 01 Dec 2020.

Vancouver:

Karabulut E. Distributed integer programming. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/59194.

Council of Science Editors:

Karabulut E. Distributed integer programming. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59194


Georgia Tech

3. Torrico Palacios, Alfredo Ignacio. Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 Resource allocation and subset selection are two relevant classes of problems in the core of combinatorial optimization. Over the past decade, there has been an… (more)

Subjects/Keywords: Combinatorial optimization; Online optimization; Online bipartite matching; Constrained submodular maximization

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APA (6th Edition):

Torrico Palacios, A. I. (2019). Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61720

Chicago Manual of Style (16th Edition):

Torrico Palacios, Alfredo Ignacio. “Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization.” 2019. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/61720.

MLA Handbook (7th Edition):

Torrico Palacios, Alfredo Ignacio. “Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization.” 2019. Web. 01 Dec 2020.

Vancouver:

Torrico Palacios AI. Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/61720.

Council of Science Editors:

Torrico Palacios AI. Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61720


University of Ontario Institute of Technology

4. Amirnavaei, Fatemeh. Wireless transmission with energy harvesting and storage.

Degree: 2017, University of Ontario Institute of Technology

 In this dissertation, online power control strategies are proposed for wireless communication systems equipped with energy harvesting devices and finite-capacity batteries. The methods are proposed… (more)

Subjects/Keywords: Energy harvesting; Online policy; Stochastic optimization; Wireless

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APA (6th Edition):

Amirnavaei, F. (2017). Wireless transmission with energy harvesting and storage. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Amirnavaei, Fatemeh. “Wireless transmission with energy harvesting and storage.” 2017. Thesis, University of Ontario Institute of Technology. Accessed December 01, 2020. http://hdl.handle.net/10155/904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Amirnavaei, Fatemeh. “Wireless transmission with energy harvesting and storage.” 2017. Web. 01 Dec 2020.

Vancouver:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10155/904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

5. Lee, Gilsoo. Online Optimization for Edge Computing under Uncertainty in Wireless Networks.

Degree: PhD, Electrical Engineering, 2020, Virginia Tech

 Smart cities will rely on an Internet of Things (IoT) system that interconnects cars, drones, sensors, home appliances, and other digital devices. Modern IoT systems… (more)

Subjects/Keywords: Edge Computing; Online Optimization; Internet of Things

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APA (6th Edition):

Lee, G. (2020). Online Optimization for Edge Computing under Uncertainty in Wireless Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97909

Chicago Manual of Style (16th Edition):

Lee, Gilsoo. “Online Optimization for Edge Computing under Uncertainty in Wireless Networks.” 2020. Doctoral Dissertation, Virginia Tech. Accessed December 01, 2020. http://hdl.handle.net/10919/97909.

MLA Handbook (7th Edition):

Lee, Gilsoo. “Online Optimization for Edge Computing under Uncertainty in Wireless Networks.” 2020. Web. 01 Dec 2020.

Vancouver:

Lee G. Online Optimization for Edge Computing under Uncertainty in Wireless Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10919/97909.

Council of Science Editors:

Lee G. Online Optimization for Edge Computing under Uncertainty in Wireless Networks. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97909


Princeton University

6. Luo, Haipeng. Optimal and Adaptive Online Learning .

Degree: PhD, 2016, Princeton University

Online learning is one of the most important and well-established machine learning models. Generally speaking, the goal of online learning is to make a sequence… (more)

Subjects/Keywords: boosting; machine learning; online learning; optimization; prediction

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APA (6th Edition):

Luo, H. (2016). Optimal and Adaptive Online Learning . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01qz20sv914

Chicago Manual of Style (16th Edition):

Luo, Haipeng. “Optimal and Adaptive Online Learning .” 2016. Doctoral Dissertation, Princeton University. Accessed December 01, 2020. http://arks.princeton.edu/ark:/88435/dsp01qz20sv914.

MLA Handbook (7th Edition):

Luo, Haipeng. “Optimal and Adaptive Online Learning .” 2016. Web. 01 Dec 2020.

Vancouver:

Luo H. Optimal and Adaptive Online Learning . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Dec 01]. Available from: http://arks.princeton.edu/ark:/88435/dsp01qz20sv914.

Council of Science Editors:

Luo H. Optimal and Adaptive Online Learning . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01qz20sv914


University of Minnesota

7. Das, Puja. Online convex optimization and its application to online portfolio selection.

Degree: PhD, Computer science, 2014, University of Minnesota

 Today, whether we consider the data from the internet, consumers, financial markets, a common feature emerges: all of them involve huge amounts of dynamic data… (more)

Subjects/Keywords: Alternating direction method of multipliers; Constrained optimization; Meta optimization; Non-smooth composite objective; Online convex optimization; Online portfolio selection

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APA (6th Edition):

Das, P. (2014). Online convex optimization and its application to online portfolio selection. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/163662

Chicago Manual of Style (16th Edition):

Das, Puja. “Online convex optimization and its application to online portfolio selection.” 2014. Doctoral Dissertation, University of Minnesota. Accessed December 01, 2020. http://hdl.handle.net/11299/163662.

MLA Handbook (7th Edition):

Das, Puja. “Online convex optimization and its application to online portfolio selection.” 2014. Web. 01 Dec 2020.

Vancouver:

Das P. Online convex optimization and its application to online portfolio selection. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/11299/163662.

Council of Science Editors:

Das P. Online convex optimization and its application to online portfolio selection. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/163662


UCLA

8. Towfic, Zaid Joseph. Online Learning Over Networks.

Degree: Electrical Engineering, 2014, UCLA

 Distributed convex optimization refers to the task of minimizing the aggregate sum of convex risk functions, each available at an agent of a connected network,… (more)

Subjects/Keywords: Electrical engineering; Computer science; diffusion strategies; distributed optimization; online learning; optimization; stochastic optimization

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APA (6th Edition):

Towfic, Z. J. (2014). Online Learning Over Networks. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/15w589fn

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Towfic, Zaid Joseph. “Online Learning Over Networks.” 2014. Thesis, UCLA. Accessed December 01, 2020. http://www.escholarship.org/uc/item/15w589fn.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Towfic, Zaid Joseph. “Online Learning Over Networks.” 2014. Web. 01 Dec 2020.

Vancouver:

Towfic ZJ. Online Learning Over Networks. [Internet] [Thesis]. UCLA; 2014. [cited 2020 Dec 01]. Available from: http://www.escholarship.org/uc/item/15w589fn.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Towfic ZJ. Online Learning Over Networks. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/15w589fn

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

9. Meng, De. Graph Design via Convex Optimization: Online and Distributed Perspectives.

Degree: PhD, 2017, University of Washington

 Network and graph have long been natural abstraction of relations in a variety of applications, e.g. transportation, power system, social network, communication, electrical circuit, etc.… (more)

Subjects/Keywords: Convex Optimization; Distributed Optimization; Geodesic Distance; Graph and Network; Numerical Optimization; Online Optimization; Electrical engineering; Mathematics; Electrical engineering

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APA (6th Edition):

Meng, D. (2017). Graph Design via Convex Optimization: Online and Distributed Perspectives. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40058

Chicago Manual of Style (16th Edition):

Meng, De. “Graph Design via Convex Optimization: Online and Distributed Perspectives.” 2017. Doctoral Dissertation, University of Washington. Accessed December 01, 2020. http://hdl.handle.net/1773/40058.

MLA Handbook (7th Edition):

Meng, De. “Graph Design via Convex Optimization: Online and Distributed Perspectives.” 2017. Web. 01 Dec 2020.

Vancouver:

Meng D. Graph Design via Convex Optimization: Online and Distributed Perspectives. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1773/40058.

Council of Science Editors:

Meng D. Graph Design via Convex Optimization: Online and Distributed Perspectives. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40058


University of Minnesota

10. Bai, Xue. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.

Degree: MA, Mass Communication, 2013, University of Minnesota

University of Minnesota M.A. thesis. February 2013. Major: Mass Communication. Advisor: Ronald J. Faber. 1 computer file (PDF); v, 101 pages, appendix A.

Search engine… (more)

Subjects/Keywords: Consumer; Online information search; Online marketing; Search engine marketing; Search engine optimization; Search engine

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APA (6th Edition):

Bai, X. (2013). In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/147494

Chicago Manual of Style (16th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Masters Thesis, University of Minnesota. Accessed December 01, 2020. http://purl.umn.edu/147494.

MLA Handbook (7th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Web. 01 Dec 2020.

Vancouver:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2020 Dec 01]. Available from: http://purl.umn.edu/147494.

Council of Science Editors:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/147494

11. Reis, Marta Manuela Lima. Desenvolvimento de um plano de marketing online: caso de estudo IncBio.

Degree: 2016, Instituto Politécnico do Porto

Numa economia cada vez mais globalizada e competitiva, a internet representa um recurso fundamental para qualquer empresa. O uso crescente deste meio de comunicação nos… (more)

Subjects/Keywords: Estratégia; Marketing online; Medias sociais; Otimização; Strategy; Social media optimization; Online marketing; Gestão

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APA (6th Edition):

Reis, M. M. L. (2016). Desenvolvimento de um plano de marketing online: caso de estudo IncBio. (Thesis). Instituto Politécnico do Porto. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Reis, Marta Manuela Lima. “Desenvolvimento de um plano de marketing online: caso de estudo IncBio.” 2016. Thesis, Instituto Politécnico do Porto. Accessed December 01, 2020. https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Reis, Marta Manuela Lima. “Desenvolvimento de um plano de marketing online: caso de estudo IncBio.” 2016. Web. 01 Dec 2020.

Vancouver:

Reis MML. Desenvolvimento de um plano de marketing online: caso de estudo IncBio. [Internet] [Thesis]. Instituto Politécnico do Porto; 2016. [cited 2020 Dec 01]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reis MML. Desenvolvimento de um plano de marketing online: caso de estudo IncBio. [Thesis]. Instituto Politécnico do Porto; 2016. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

12. Bai, Xue. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.

Degree: MA, Mass Communication, 2013, University of Minnesota

 Search engine optimization (SEO), as a multi-million dollar business of search engine marketing, has seldom been studied from the consumers' perspective. This study aims to… (more)

Subjects/Keywords: Consumer; Online information search; Online marketing; Search engine marketing; Search engine optimization; Search engine

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

APA (6th Edition):

Bai, X. (2013). In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/147494

Chicago Manual of Style (16th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Masters Thesis, University of Minnesota. Accessed December 01, 2020. http://purl.umn.edu/147494.

MLA Handbook (7th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Web. 01 Dec 2020.

Vancouver:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2020 Dec 01]. Available from: http://purl.umn.edu/147494.

Council of Science Editors:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/147494


Queens University

13. Akbari Varnousfaderani, Mohammad Jr. Distributed Online Optimization on time-varying networks .

Degree: Mathematics and Statistics, 2015, Queens University

 This thesis introduces two classes of discrete-time distributed online optimization algorithms, with a group of agents which communicate over a network. At each time, a… (more)

Subjects/Keywords: Multi-agent Systems ; Sensor Networks ; Distributed Optimization ; Subgradient Algorithm ; Method of Multipliers ; Online Optimization

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APA (6th Edition):

Akbari Varnousfaderani, M. J. (2015). Distributed Online Optimization on time-varying networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Akbari Varnousfaderani, Mohammad Jr. “Distributed Online Optimization on time-varying networks .” 2015. Thesis, Queens University. Accessed December 01, 2020. http://hdl.handle.net/1974/13551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Akbari Varnousfaderani, Mohammad Jr. “Distributed Online Optimization on time-varying networks .” 2015. Web. 01 Dec 2020.

Vancouver:

Akbari Varnousfaderani MJ. Distributed Online Optimization on time-varying networks . [Internet] [Thesis]. Queens University; 2015. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1974/13551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Akbari Varnousfaderani MJ. Distributed Online Optimization on time-varying networks . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

14. Navarro Poupard, Eduardo. Hamiltonian Decomposition for Online Implementation of Model Predictive Control.

Degree: 2019, University of Manchester

 Reliable and optimal decision-making tools are essential in industry to achieve high performance. One of these tools is Model Predictive Control (MPC), which is an… (more)

Subjects/Keywords: Model Predictive Control; Optimization Algorithms; Online Implementation; Direct Methods; Iterative Methods; Real-time Optimization Algorithms

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APA (6th Edition):

Navarro Poupard, E. (2019). Hamiltonian Decomposition for Online Implementation of Model Predictive Control. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:319338

Chicago Manual of Style (16th Edition):

Navarro Poupard, Eduardo. “Hamiltonian Decomposition for Online Implementation of Model Predictive Control.” 2019. Doctoral Dissertation, University of Manchester. Accessed December 01, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:319338.

MLA Handbook (7th Edition):

Navarro Poupard, Eduardo. “Hamiltonian Decomposition for Online Implementation of Model Predictive Control.” 2019. Web. 01 Dec 2020.

Vancouver:

Navarro Poupard E. Hamiltonian Decomposition for Online Implementation of Model Predictive Control. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Dec 01]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:319338.

Council of Science Editors:

Navarro Poupard E. Hamiltonian Decomposition for Online Implementation of Model Predictive Control. [Doctoral Dissertation]. University of Manchester; 2019. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:319338


Georgia Tech

15. Yan, Xinyan. Efficient Trajectory and Policy Optimization Using Dynamics Models.

Degree: PhD, Interactive Computing, 2020, Georgia Tech

 Data-driven approaches hold the promise of creating the next wave of robots that can perform diverse tasks and adapt to unstructured environments. However, gathering data… (more)

Subjects/Keywords: Trajectory optimization; Policy optimization; State estimation; Model predictive control; Online learning; Statistical learning

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APA (6th Edition):

Yan, X. (2020). Efficient Trajectory and Policy Optimization Using Dynamics Models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63621

Chicago Manual of Style (16th Edition):

Yan, Xinyan. “Efficient Trajectory and Policy Optimization Using Dynamics Models.” 2020. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/63621.

MLA Handbook (7th Edition):

Yan, Xinyan. “Efficient Trajectory and Policy Optimization Using Dynamics Models.” 2020. Web. 01 Dec 2020.

Vancouver:

Yan X. Efficient Trajectory and Policy Optimization Using Dynamics Models. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/63621.

Council of Science Editors:

Yan X. Efficient Trajectory and Policy Optimization Using Dynamics Models. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63621


University of Manchester

16. Navarro Poupard, Eduardo. Hamiltonian decomposition for online implementation of model predictive control.

Degree: PhD, 2019, University of Manchester

 Reliable and optimal decision-making tools are essential in industry to achieve high performance. One of these tools is Model Predictive Control (MPC), which is an… (more)

Subjects/Keywords: Real-time Optimization Algorithms; Direct Methods; Iterative Methods; Optimization Algorithms; Model Predictive Control; Online Implementation

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APA (6th Edition):

Navarro Poupard, E. (2019). Hamiltonian decomposition for online implementation of model predictive control. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/hamiltonian-decomposition-for-online-implementation-of-model-predictive-control(c03dd385-343d-439a-abd3-b56d409ed589).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809313

Chicago Manual of Style (16th Edition):

Navarro Poupard, Eduardo. “Hamiltonian decomposition for online implementation of model predictive control.” 2019. Doctoral Dissertation, University of Manchester. Accessed December 01, 2020. https://www.research.manchester.ac.uk/portal/en/theses/hamiltonian-decomposition-for-online-implementation-of-model-predictive-control(c03dd385-343d-439a-abd3-b56d409ed589).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809313.

MLA Handbook (7th Edition):

Navarro Poupard, Eduardo. “Hamiltonian decomposition for online implementation of model predictive control.” 2019. Web. 01 Dec 2020.

Vancouver:

Navarro Poupard E. Hamiltonian decomposition for online implementation of model predictive control. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Dec 01]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/hamiltonian-decomposition-for-online-implementation-of-model-predictive-control(c03dd385-343d-439a-abd3-b56d409ed589).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809313.

Council of Science Editors:

Navarro Poupard E. Hamiltonian decomposition for online implementation of model predictive control. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/hamiltonian-decomposition-for-online-implementation-of-model-predictive-control(c03dd385-343d-439a-abd3-b56d409ed589).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809313


Carnegie Mellon University

17. Salomatin, Konstantin. Large-scale hierarchical optimization for online advertising and wind farm planning.

Degree: 2013, Carnegie Mellon University

 This thesis develops a framework to investigate and design novel optimization methods for two important problems: computational advertising (particularly, sponsored search) and wind farm turbine-layout… (more)

Subjects/Keywords: online advertising; sponsered search; wind energy; optimization; game theory

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

APA (6th Edition):

Salomatin, K. (2013). Large-scale hierarchical optimization for online advertising and wind farm planning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/337

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Salomatin, Konstantin. “Large-scale hierarchical optimization for online advertising and wind farm planning.” 2013. Thesis, Carnegie Mellon University. Accessed December 01, 2020. http://repository.cmu.edu/dissertations/337.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Salomatin, Konstantin. “Large-scale hierarchical optimization for online advertising and wind farm planning.” 2013. Web. 01 Dec 2020.

Vancouver:

Salomatin K. Large-scale hierarchical optimization for online advertising and wind farm planning. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2020 Dec 01]. Available from: http://repository.cmu.edu/dissertations/337.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Salomatin K. Large-scale hierarchical optimization for online advertising and wind farm planning. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/337

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Berkeley

18. Tsai, Chi-Shen. Online Trajectory Generation for Robot Manipulators in Dynamic Environment  – An Optimization-based Approach.

Degree: Mechanical Engineering, 2014, University of California – Berkeley

 Interest in robot manipulators interacting with dynamic environments has been continuously growing because of the increasing demand for industrial robot collaboration. Human-robot collaboration and robot-robot… (more)

Subjects/Keywords: Mechanical engineering; obstacle avoidance; online trajectory generation; Optimization

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APA (6th Edition):

Tsai, C. (2014). Online Trajectory Generation for Robot Manipulators in Dynamic Environment  – An Optimization-based Approach. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3x02b7x5

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsai, Chi-Shen. “Online Trajectory Generation for Robot Manipulators in Dynamic Environment  – An Optimization-based Approach.” 2014. Thesis, University of California – Berkeley. Accessed December 01, 2020. http://www.escholarship.org/uc/item/3x02b7x5.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsai, Chi-Shen. “Online Trajectory Generation for Robot Manipulators in Dynamic Environment  – An Optimization-based Approach.” 2014. Web. 01 Dec 2020.

Vancouver:

Tsai C. Online Trajectory Generation for Robot Manipulators in Dynamic Environment  – An Optimization-based Approach. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2020 Dec 01]. Available from: http://www.escholarship.org/uc/item/3x02b7x5.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsai C. Online Trajectory Generation for Robot Manipulators in Dynamic Environment  – An Optimization-based Approach. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/3x02b7x5

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

19. Cheng, Ching An. Efficient and principled robot learning: Theory and algorithms.

Degree: PhD, Interactive Computing, 2020, Georgia Tech

 Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed,… (more)

Subjects/Keywords: Online learning; Control theory; Robotics; Optimization; Reinforcement learning; Imitation learning

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APA (6th Edition):

Cheng, C. A. (2020). Efficient and principled robot learning: Theory and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62733

Chicago Manual of Style (16th Edition):

Cheng, Ching An. “Efficient and principled robot learning: Theory and algorithms.” 2020. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/62733.

MLA Handbook (7th Edition):

Cheng, Ching An. “Efficient and principled robot learning: Theory and algorithms.” 2020. Web. 01 Dec 2020.

Vancouver:

Cheng CA. Efficient and principled robot learning: Theory and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/62733.

Council of Science Editors:

Cheng CA. Efficient and principled robot learning: Theory and algorithms. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62733


University of Illinois – Urbana-Champaign

20. Tan, Bo. Optimization in stochastic models of network applications.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 In this dissertation, we propose stochastic models and develop optimal or near-optimal algorithms for resource allocation, for two important network applications: 1) video-on-demand (VoD) services… (more)

Subjects/Keywords: Content Distribution Networks; Online Advertising; Stochastic Models; Optimization; Resource Allocation

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APA (6th Edition):

Tan, B. (2012). Optimization in stochastic models of network applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/34431

Chicago Manual of Style (16th Edition):

Tan, Bo. “Optimization in stochastic models of network applications.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 01, 2020. http://hdl.handle.net/2142/34431.

MLA Handbook (7th Edition):

Tan, Bo. “Optimization in stochastic models of network applications.” 2012. Web. 01 Dec 2020.

Vancouver:

Tan B. Optimization in stochastic models of network applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/2142/34431.

Council of Science Editors:

Tan B. Optimization in stochastic models of network applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/34431


University of Minnesota

21. Chen, Tianyi. Efficient Methods for Distributed Machine Learning and Resource Management in the Internet-of-Things.

Degree: PhD, Electrical/Computer Engineering, 2019, University of Minnesota

 Undoubtedly, this century evolves in a world of interconnected entities, where the notion of Internet-of-Things (IoT) plays a central role in the proliferation of linked… (more)

Subjects/Keywords: Internet-of-Things; Machine learning; Online learning; Optimization; Resource management

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

APA (6th Edition):

Chen, T. (2019). Efficient Methods for Distributed Machine Learning and Resource Management in the Internet-of-Things. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206678

Chicago Manual of Style (16th Edition):

Chen, Tianyi. “Efficient Methods for Distributed Machine Learning and Resource Management in the Internet-of-Things.” 2019. Doctoral Dissertation, University of Minnesota. Accessed December 01, 2020. http://hdl.handle.net/11299/206678.

MLA Handbook (7th Edition):

Chen, Tianyi. “Efficient Methods for Distributed Machine Learning and Resource Management in the Internet-of-Things.” 2019. Web. 01 Dec 2020.

Vancouver:

Chen T. Efficient Methods for Distributed Machine Learning and Resource Management in the Internet-of-Things. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/11299/206678.

Council of Science Editors:

Chen T. Efficient Methods for Distributed Machine Learning and Resource Management in the Internet-of-Things. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206678


University of Minnesota

22. Yuan, Jianjun. Online Convex Optimization in Changing Environments and its Application to Resource Allocation.

Degree: PhD, Electrical/Computer Engineering, 2019, University of Minnesota

 In the era of the big data, we create and collect lots of data from all different kinds of sources: the Internet, the sensors, the… (more)

Subjects/Keywords: changing environments; convex optimization; exp-concave; online learning; PCA; resource allocation

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

APA (6th Edition):

Yuan, J. (2019). Online Convex Optimization in Changing Environments and its Application to Resource Allocation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/211825

Chicago Manual of Style (16th Edition):

Yuan, Jianjun. “Online Convex Optimization in Changing Environments and its Application to Resource Allocation.” 2019. Doctoral Dissertation, University of Minnesota. Accessed December 01, 2020. http://hdl.handle.net/11299/211825.

MLA Handbook (7th Edition):

Yuan, Jianjun. “Online Convex Optimization in Changing Environments and its Application to Resource Allocation.” 2019. Web. 01 Dec 2020.

Vancouver:

Yuan J. Online Convex Optimization in Changing Environments and its Application to Resource Allocation. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/11299/211825.

Council of Science Editors:

Yuan J. Online Convex Optimization in Changing Environments and its Application to Resource Allocation. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/211825


University of Southern California

23. Kalathil, Dileep Manisseri. Empirical methods in control and optimization.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 This dissertation addresses some problems in the area of learning, optimization and decision making in stochastic systems using empirical methods. ❧ First part of the… (more)

Subjects/Keywords: online optimization; multi-armed bandits; MDP; approachability; spectrum sharing

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

APA (6th Edition):

Kalathil, D. M. (2014). Empirical methods in control and optimization. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323

Chicago Manual of Style (16th Edition):

Kalathil, Dileep Manisseri. “Empirical methods in control and optimization.” 2014. Doctoral Dissertation, University of Southern California. Accessed December 01, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323.

MLA Handbook (7th Edition):

Kalathil, Dileep Manisseri. “Empirical methods in control and optimization.” 2014. Web. 01 Dec 2020.

Vancouver:

Kalathil DM. Empirical methods in control and optimization. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Dec 01]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323.

Council of Science Editors:

Kalathil DM. Empirical methods in control and optimization. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323


University of Southern California

24. Gai, Yi. Online learning algorithms for network optimization with unknown variables.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 The formulations and theories of multi-armed bandit (MAB) problems provide fundamental tools for optimal sequential decision making and learning in uncertain environments. They have been… (more)

Subjects/Keywords: online learning; network optimization; algorithm design and analysis; machine learning

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

APA (6th Edition):

Gai, Y. (2012). Online learning algorithms for network optimization with unknown variables. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577

Chicago Manual of Style (16th Edition):

Gai, Yi. “Online learning algorithms for network optimization with unknown variables.” 2012. Doctoral Dissertation, University of Southern California. Accessed December 01, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577.

MLA Handbook (7th Edition):

Gai, Yi. “Online learning algorithms for network optimization with unknown variables.” 2012. Web. 01 Dec 2020.

Vancouver:

Gai Y. Online learning algorithms for network optimization with unknown variables. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Dec 01]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577.

Council of Science Editors:

Gai Y. Online learning algorithms for network optimization with unknown variables. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577


Princeton University

25. Pang, Haotian. The Application of Optimization Techniques in Machine Learning .

Degree: PhD, 2017, Princeton University

 The past decades have witnessed significantly progress in machine learning, and solving these problems requires the advancing in optimization techniques. High dimensional sparse learning has… (more)

Subjects/Keywords: Convex Optimization; Linear Programming; Machine Learning; Online Learning; Parametric Simplex Method

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APA (6th Edition):

Pang, H. (2017). The Application of Optimization Techniques in Machine Learning . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01fb494c071

Chicago Manual of Style (16th Edition):

Pang, Haotian. “The Application of Optimization Techniques in Machine Learning .” 2017. Doctoral Dissertation, Princeton University. Accessed December 01, 2020. http://arks.princeton.edu/ark:/88435/dsp01fb494c071.

MLA Handbook (7th Edition):

Pang, Haotian. “The Application of Optimization Techniques in Machine Learning .” 2017. Web. 01 Dec 2020.

Vancouver:

Pang H. The Application of Optimization Techniques in Machine Learning . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2020 Dec 01]. Available from: http://arks.princeton.edu/ark:/88435/dsp01fb494c071.

Council of Science Editors:

Pang H. The Application of Optimization Techniques in Machine Learning . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01fb494c071


Pontifical Catholic University of Rio de Janeiro

26. THIAGO DE GARCIA PAULA S MILAGRES. [en] ITERATIVE METHODS FOR ROBUST CONVEX OPTIMIZATION.

Degree: 2020, Pontifical Catholic University of Rio de Janeiro

[pt] Otimização Robusta é uma das formas mais comuns de considerar in- certeza nos parâmetros de um problema de otimização. A forma tradicional de achar… (more)

Subjects/Keywords: [pt] METODOS INTERATIVOS; [en] INTERATIVE METHODS; [pt] OTIMIZACAO ROBUSTA; [en] ROBUST OPTIMIZATION; [pt] OTIMIZACAO CONVEXA; [en] CONVEX OPTIMIZATION; [pt] OTIMIZACAO CONVEXA ONLINE; [en] ONLINE CONVEX OPTIMIZATION; [pt] AGREGACAO DE RESTRICOES; [en] CONSTRAINT AGGREGATION; [pt] MULTIPLICATIVE WEIGHTS UPDAT; [en] MULTIPLICATIVE WEIGHTS UPDAT; [pt] ONLINE LEARNING; [en] ONLINE LEARNING

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

APA (6th Edition):

MILAGRES, T. D. G. P. S. (2020). [en] ITERATIVE METHODS FOR ROBUST CONVEX OPTIMIZATION. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=47228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MILAGRES, THIAGO DE GARCIA PAULA S. “[en] ITERATIVE METHODS FOR ROBUST CONVEX OPTIMIZATION.” 2020. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed December 01, 2020. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=47228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MILAGRES, THIAGO DE GARCIA PAULA S. “[en] ITERATIVE METHODS FOR ROBUST CONVEX OPTIMIZATION.” 2020. Web. 01 Dec 2020.

Vancouver:

MILAGRES TDGPS. [en] ITERATIVE METHODS FOR ROBUST CONVEX OPTIMIZATION. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2020. [cited 2020 Dec 01]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=47228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MILAGRES TDGPS. [en] ITERATIVE METHODS FOR ROBUST CONVEX OPTIMIZATION. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2020. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=47228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Riverside

27. Li, Mingyang. Visual-Inertial Odometry on Resource-Constrained Systems.

Degree: Electrical Engineering, 2014, University of California – Riverside

 In this work, we focus on the problem of pose estimation in unknown environments, using the measurements from an inertial measurement unit (IMU) and a… (more)

Subjects/Keywords: Electrical engineering; Extended Kalman filter; Online calibration; Online optimization; Rolling-shutter camera; Vision-aided inertial navigation; Visual-inertial odometry

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

APA (6th Edition):

Li, M. (2014). Visual-Inertial Odometry on Resource-Constrained Systems. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/4nn0j264

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Mingyang. “Visual-Inertial Odometry on Resource-Constrained Systems.” 2014. Thesis, University of California – Riverside. Accessed December 01, 2020. http://www.escholarship.org/uc/item/4nn0j264.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Mingyang. “Visual-Inertial Odometry on Resource-Constrained Systems.” 2014. Web. 01 Dec 2020.

Vancouver:

Li M. Visual-Inertial Odometry on Resource-Constrained Systems. [Internet] [Thesis]. University of California – Riverside; 2014. [cited 2020 Dec 01]. Available from: http://www.escholarship.org/uc/item/4nn0j264.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li M. Visual-Inertial Odometry on Resource-Constrained Systems. [Thesis]. University of California – Riverside; 2014. Available from: http://www.escholarship.org/uc/item/4nn0j264

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Fister, Dušan. Razvoj naprednega adaptivnega regulatorja za mehatronske sisteme.

Degree: 2017, Univerza v Mariboru

V magistrski nalogi predstavljamo, opisujemo ter razlagamo princip delovanja nelinearnega naprednega adaptivnega hitrostnega regulatorja, ki smo ga izdelali za potrebe napredne regulacije na enoosnem robotu.… (more)

Subjects/Keywords: online-regulacija; identifikacija; evalvacija; optimizacija; realni čas; online control; identification; evaluation; optimization; real-time; info:eu-repo/classification/udc/681.52(043.2)

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

APA (6th Edition):

Fister, D. (2017). Razvoj naprednega adaptivnega regulatorja za mehatronske sisteme. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=67220 ; https://dk.um.si/Dokument.php?id=116756&dn= ; https://plus.si.cobiss.net/opac7/bib/21180438?lang=sl

Chicago Manual of Style (16th Edition):

Fister, Dušan. “Razvoj naprednega adaptivnega regulatorja za mehatronske sisteme.” 2017. Masters Thesis, Univerza v Mariboru. Accessed December 01, 2020. https://dk.um.si/IzpisGradiva.php?id=67220 ; https://dk.um.si/Dokument.php?id=116756&dn= ; https://plus.si.cobiss.net/opac7/bib/21180438?lang=sl.

MLA Handbook (7th Edition):

Fister, Dušan. “Razvoj naprednega adaptivnega regulatorja za mehatronske sisteme.” 2017. Web. 01 Dec 2020.

Vancouver:

Fister D. Razvoj naprednega adaptivnega regulatorja za mehatronske sisteme. [Internet] [Masters thesis]. Univerza v Mariboru; 2017. [cited 2020 Dec 01]. Available from: https://dk.um.si/IzpisGradiva.php?id=67220 ; https://dk.um.si/Dokument.php?id=116756&dn= ; https://plus.si.cobiss.net/opac7/bib/21180438?lang=sl.

Council of Science Editors:

Fister D. Razvoj naprednega adaptivnega regulatorja za mehatronske sisteme. [Masters Thesis]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=67220 ; https://dk.um.si/Dokument.php?id=116756&dn= ; https://plus.si.cobiss.net/opac7/bib/21180438?lang=sl

29. Bsaybes, Sahar. Models and algorithms for fleet management of autonomous vehicles : Modèles et algorithmes de gestion de flottes de véhicules autonomes.

Degree: Docteur es, Informatique, 2017, Clermont Auvergne

Résumé indisponible.

The VIPAFLEET project aims at developing a framework to manage a fleet of IndividualPublic Autonomous Vehicles (VIPA). We consider a fleet of cars… (more)

Subjects/Keywords: Véhicules autonomes; Fleet management; Offline and online pickup and delivery problem; Autonomous vehicles; Online optimization; Heuristic; Network flows

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

APA (6th Edition):

Bsaybes, S. (2017). Models and algorithms for fleet management of autonomous vehicles : Modèles et algorithmes de gestion de flottes de véhicules autonomes. (Doctoral Dissertation). Clermont Auvergne. Retrieved from http://www.theses.fr/2017CLFAC114

Chicago Manual of Style (16th Edition):

Bsaybes, Sahar. “Models and algorithms for fleet management of autonomous vehicles : Modèles et algorithmes de gestion de flottes de véhicules autonomes.” 2017. Doctoral Dissertation, Clermont Auvergne. Accessed December 01, 2020. http://www.theses.fr/2017CLFAC114.

MLA Handbook (7th Edition):

Bsaybes, Sahar. “Models and algorithms for fleet management of autonomous vehicles : Modèles et algorithmes de gestion de flottes de véhicules autonomes.” 2017. Web. 01 Dec 2020.

Vancouver:

Bsaybes S. Models and algorithms for fleet management of autonomous vehicles : Modèles et algorithmes de gestion de flottes de véhicules autonomes. [Internet] [Doctoral dissertation]. Clermont Auvergne; 2017. [cited 2020 Dec 01]. Available from: http://www.theses.fr/2017CLFAC114.

Council of Science Editors:

Bsaybes S. Models and algorithms for fleet management of autonomous vehicles : Modèles et algorithmes de gestion de flottes de véhicules autonomes. [Doctoral Dissertation]. Clermont Auvergne; 2017. Available from: http://www.theses.fr/2017CLFAC114

30. T.R. Cesari. ALGORITHMS, LEARNING, AND OPTIMIZATION.

Degree: 2020, Università degli Studi di Milano

 This thesis covers some algorithmic aspects of online machine learning and optimization. In Chapter 1 we design algorithms with state-of-the-art regret guarantees for the problem… (more)

Subjects/Keywords: machine learning theory; online learning; online optimization; cooperative learning; dynamic pricing; posted price; Settore INF/01 - Informatica

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APA (6th Edition):

Cesari, T. (2020). ALGORITHMS, LEARNING, AND OPTIMIZATION. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/699354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cesari, T.R.. “ALGORITHMS, LEARNING, AND OPTIMIZATION.” 2020. Thesis, Università degli Studi di Milano. Accessed December 01, 2020. http://hdl.handle.net/2434/699354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cesari, T.R.. “ALGORITHMS, LEARNING, AND OPTIMIZATION.” 2020. Web. 01 Dec 2020.

Vancouver:

Cesari T. ALGORITHMS, LEARNING, AND OPTIMIZATION. [Internet] [Thesis]. Università degli Studi di Milano; 2020. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/2434/699354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cesari T. ALGORITHMS, LEARNING, AND OPTIMIZATION. [Thesis]. Università degli Studi di Milano; 2020. Available from: http://hdl.handle.net/2434/699354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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