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1.
Uthayakumar, R.
Study on convergence of *optimization* problems;.

Degree: 2014, INFLIBNET

URL: http://shodhganga.inflibnet.ac.in/handle/10603/17964

►

In this thesis, various notions of convergence of sequence of sets and functions and their applications in the convergence of the optimal values under the… (more)

Subjects/Keywords: Convergence; Convex; Functions; Non-convex; Optimization; Sets

Record Details Similar Records

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

APA (6^{th} Edition):

Uthayakumar, R. (2014). Study on convergence of optimization problems;. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/17964

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):

Uthayakumar, R. “Study on convergence of optimization problems;.” 2014. Thesis, INFLIBNET. Accessed October 15, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/17964.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Uthayakumar, R. “Study on convergence of optimization problems;.” 2014. Web. 15 Oct 2019.

Vancouver:

Uthayakumar R. Study on convergence of optimization problems;. [Internet] [Thesis]. INFLIBNET; 2014. [cited 2019 Oct 15]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17964.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Uthayakumar R. Study on convergence of optimization problems;. [Thesis]. INFLIBNET; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17964

Not specified: Masters Thesis or Doctoral Dissertation

Victoria University of Wellington

2.
Jellyman, Dayle Raymond.
*Convex**Optimization* for Distributed Acoustic Beamforming.

Degree: 2017, Victoria University of Wellington

URL: http://hdl.handle.net/10063/6650

► Beamforming filter *optimization* can be performed over a distributed wireless sensor network, but the output calculation remains either centralized or linked in time to the…
(more)

Subjects/Keywords: Distributed; Beamforming; Convex optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Jellyman, D. R. (2017). Convex Optimization for Distributed Acoustic Beamforming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6650

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

Jellyman, Dayle Raymond. “Convex Optimization for Distributed Acoustic Beamforming.” 2017. Masters Thesis, Victoria University of Wellington. Accessed October 15, 2019. http://hdl.handle.net/10063/6650.

MLA Handbook (7^{th} Edition):

Jellyman, Dayle Raymond. “Convex Optimization for Distributed Acoustic Beamforming.” 2017. Web. 15 Oct 2019.

Vancouver:

Jellyman DR. Convex Optimization for Distributed Acoustic Beamforming. [Internet] [Masters thesis]. Victoria University of Wellington; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10063/6650.

Council of Science Editors:

Jellyman DR. Convex Optimization for Distributed Acoustic Beamforming. [Masters Thesis]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6650

NSYSU

3. Zhang, Shu-Bin. Study on Digital Filter Design and Coefficient Quantization.

Degree: Master, Communications Engineering, 2011, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727111-135237

► In this thesis, the basic theory is *convex* *optimization* theory[1]. And we study the problem about how to transfer to *convex* *optimization* problem from the…
(more)

Subjects/Keywords: Filter; Optimization; Convex; Bits; Quantization

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APA (6^{th} Edition):

Zhang, S. (2011). Study on Digital Filter Design and Coefficient Quantization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727111-135237

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Shu-Bin. “Study on Digital Filter Design and Coefficient Quantization.” 2011. Thesis, NSYSU. Accessed October 15, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727111-135237.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Shu-Bin. “Study on Digital Filter Design and Coefficient Quantization.” 2011. Web. 15 Oct 2019.

Vancouver:

Zhang S. Study on Digital Filter Design and Coefficient Quantization. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Oct 15]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727111-135237.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang S. Study on Digital Filter Design and Coefficient Quantization. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727111-135237

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

4. Taghavi, Soraya. Quantum computation and optimized error correction.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5355

► Two subjects in the area of quantum computation are considered here. In the first chapter I present a universal model for a quantum Robot. Chapters…
(more)

Subjects/Keywords: quantum error correction; convex optimization

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APA (6^{th} Edition):

Taghavi, S. (2010). Quantum computation and optimized error correction. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5355

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

Taghavi, Soraya. “Quantum computation and optimized error correction.” 2010. Doctoral Dissertation, University of Southern California. Accessed October 15, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5355.

MLA Handbook (7^{th} Edition):

Taghavi, Soraya. “Quantum computation and optimized error correction.” 2010. Web. 15 Oct 2019.

Vancouver:

Taghavi S. Quantum computation and optimized error correction. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Oct 15]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5355.

Council of Science Editors:

Taghavi S. Quantum computation and optimized error correction. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5355

Université Catholique de Louvain

5.
Martin, BenoÃ®t.
Autonomous microgrids for rural electrification : joint investment planning of power generation and distribution through *convex* * optimization*.

Degree: 2018, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/214246

►

Autonomous microgrid planning requires to consider both investments in network and generation assets as there is no connection to another power system. In this problem,… (more)

Subjects/Keywords: Planning; Microgrid; Convex optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Martin, B. (2018). Autonomous microgrids for rural electrification : joint investment planning of power generation and distribution through convex optimization. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/214246

Not specified: Masters Thesis or Doctoral Dissertation

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

Martin, BenoÃ®t. “Autonomous microgrids for rural electrification : joint investment planning of power generation and distribution through convex optimization.” 2018. Thesis, Université Catholique de Louvain. Accessed October 15, 2019. http://hdl.handle.net/2078.1/214246.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Martin, BenoÃ®t. “Autonomous microgrids for rural electrification : joint investment planning of power generation and distribution through convex optimization.” 2018. Web. 15 Oct 2019.

Vancouver:

Martin B. Autonomous microgrids for rural electrification : joint investment planning of power generation and distribution through convex optimization. [Internet] [Thesis]. Université Catholique de Louvain; 2018. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2078.1/214246.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martin B. Autonomous microgrids for rural electrification : joint investment planning of power generation and distribution through convex optimization. [Thesis]. Université Catholique de Louvain; 2018. Available from: http://hdl.handle.net/2078.1/214246

Not specified: Masters Thesis or Doctoral Dissertation

6.
Cosentino, Alessandro.
Quantum State Local Distinguishability via *Convex* * Optimization*.

Degree: 2015, University of Waterloo

URL: http://hdl.handle.net/10012/9572

► Entanglement and nonlocality play a fundamental role in quantum computing. To understand the interplay between these phenomena, researchers have considered the model of local operations…
(more)

Subjects/Keywords: quantum information; convex optimization

Record Details Similar Records

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APA (6^{th} Edition):

Cosentino, A. (2015). Quantum State Local Distinguishability via Convex Optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9572

Not specified: Masters Thesis or Doctoral Dissertation

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

Cosentino, Alessandro. “Quantum State Local Distinguishability via Convex Optimization.” 2015. Thesis, University of Waterloo. Accessed October 15, 2019. http://hdl.handle.net/10012/9572.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cosentino, Alessandro. “Quantum State Local Distinguishability via Convex Optimization.” 2015. Web. 15 Oct 2019.

Vancouver:

Cosentino A. Quantum State Local Distinguishability via Convex Optimization. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10012/9572.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cosentino A. Quantum State Local Distinguishability via Convex Optimization. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9572

Not specified: Masters Thesis or Doctoral Dissertation

Rutgers University

7. Yao, Wang, 1985-. Approximate versions of the alternating direction method of multipliers.

Degree: PhD, Operations Research, 2016, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/51517/

►

*Convex* *optimization* is at the core of many of today's analysis tools for large datasets, and in particular machine learning methods. This thesis will develop…
(more)

Subjects/Keywords: Mathematical optimization; Convex functions

Record Details Similar Records

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

APA (6^{th} Edition):

Yao, Wang, 1. (2016). Approximate versions of the alternating direction method of multipliers. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/51517/

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

Yao, Wang, 1985-. “Approximate versions of the alternating direction method of multipliers.” 2016. Doctoral Dissertation, Rutgers University. Accessed October 15, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/51517/.

MLA Handbook (7^{th} Edition):

Yao, Wang, 1985-. “Approximate versions of the alternating direction method of multipliers.” 2016. Web. 15 Oct 2019.

Vancouver:

Yao, Wang 1. Approximate versions of the alternating direction method of multipliers. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2019 Oct 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51517/.

Council of Science Editors:

Yao, Wang 1. Approximate versions of the alternating direction method of multipliers. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51517/

University of Texas – Austin

8.
Wang, Ye, Ph. D.
Novel *convex* *optimization* techniques for circuit analysis and synthesis.

Degree: PhD, Electrical and Computer Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/67661

► Technology scaling brings about the need for computationally efficient methods for circuit analysis, *optimization*, and synthesis. *Convex* *optimization* is a special class of mathematical *optimization*…
(more)

Subjects/Keywords: Convex optimization; EDA problems

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, Ye, P. D. (2018). Novel convex optimization techniques for circuit analysis and synthesis. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/67661

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

Wang, Ye, Ph D. “Novel convex optimization techniques for circuit analysis and synthesis.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed October 15, 2019. http://hdl.handle.net/2152/67661.

MLA Handbook (7^{th} Edition):

Wang, Ye, Ph D. “Novel convex optimization techniques for circuit analysis and synthesis.” 2018. Web. 15 Oct 2019.

Vancouver:

Wang, Ye PD. Novel convex optimization techniques for circuit analysis and synthesis. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2152/67661.

Council of Science Editors:

Wang, Ye PD. Novel convex optimization techniques for circuit analysis and synthesis. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/67661

University of Texas – Austin

9. Berning, Andrew Walter, Jr. Verification of successive convexification algorithm.

Degree: MSin Engineering, Aerospace engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/41579

► In this report, I describe a technique which allows a non-*convex* optimal control problem to be expressed and solved in a *convex* manner. I then…
(more)

Subjects/Keywords: Convex; Convexification; Optimization; Verification

Record Details Similar Records

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

APA (6^{th} Edition):

Berning, Andrew Walter, J. (2016). Verification of successive convexification algorithm. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41579

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

Berning, Andrew Walter, Jr. “Verification of successive convexification algorithm.” 2016. Masters Thesis, University of Texas – Austin. Accessed October 15, 2019. http://hdl.handle.net/2152/41579.

MLA Handbook (7^{th} Edition):

Berning, Andrew Walter, Jr. “Verification of successive convexification algorithm.” 2016. Web. 15 Oct 2019.

Vancouver:

Berning, Andrew Walter J. Verification of successive convexification algorithm. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2152/41579.

Council of Science Editors:

Berning, Andrew Walter J. Verification of successive convexification algorithm. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41579

Princeton University

10.
Ma, Tengyu.
Non-*convex* *Optimization* for Machine Learning: Design, Analysis, and Understanding
.

Degree: PhD, 2017, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01th83m199d

► Non-*convex* *optimization* is ubiquitous in modern machine learning: recent breakthroughs in deep learning require optimizing non-*convex* training objective functions; problems that admit accurate *convex* relaxation…
(more)

Subjects/Keywords: machine learning; non-convex optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Ma, T. (2017). Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01th83m199d

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

Ma, Tengyu. “Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding .” 2017. Doctoral Dissertation, Princeton University. Accessed October 15, 2019. http://arks.princeton.edu/ark:/88435/dsp01th83m199d.

MLA Handbook (7^{th} Edition):

Ma, Tengyu. “Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding .” 2017. Web. 15 Oct 2019.

Vancouver:

Ma T. Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Oct 15]. Available from: http://arks.princeton.edu/ark:/88435/dsp01th83m199d.

Council of Science Editors:

Ma T. Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01th83m199d

University of Ontario Institute of Technology

11.
Takeva-Velkova, Viliyana.
* Optimization* algorithms in compressive sensing (CS) sparse magnetic resonance imaging (MRI).

Degree: 2010, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/104

► Magnetic Resonance Imaging (MRI) is an essential instrument in clinical diag- nosis; however, it is burdened by a slow data acquisition process due to physical…
(more)

Subjects/Keywords: Compressive sensing; Sparse MRI; Convex optimization

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APA (6^{th} Edition):

Takeva-Velkova, V. (2010). Optimization algorithms in compressive sensing (CS) sparse magnetic resonance imaging (MRI). (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/104

Not specified: Masters Thesis or Doctoral Dissertation

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

Takeva-Velkova, Viliyana. “Optimization algorithms in compressive sensing (CS) sparse magnetic resonance imaging (MRI).” 2010. Thesis, University of Ontario Institute of Technology. Accessed October 15, 2019. http://hdl.handle.net/10155/104.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Takeva-Velkova, Viliyana. “Optimization algorithms in compressive sensing (CS) sparse magnetic resonance imaging (MRI).” 2010. Web. 15 Oct 2019.

Vancouver:

Takeva-Velkova V. Optimization algorithms in compressive sensing (CS) sparse magnetic resonance imaging (MRI). [Internet] [Thesis]. University of Ontario Institute of Technology; 2010. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10155/104.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Takeva-Velkova V. Optimization algorithms in compressive sensing (CS) sparse magnetic resonance imaging (MRI). [Thesis]. University of Ontario Institute of Technology; 2010. Available from: http://hdl.handle.net/10155/104

Not specified: Masters Thesis or Doctoral Dissertation

University of Ghana

12.
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 Bregmanâ€™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

Record Details Similar Records

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

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 October 15, 2019. http://ugspace.ug.edu.gh/handle/123456789/23393.

MLA Handbook (7^{th} Edition):

Katsekpor, T. “Iterative Methods for Large Scale Convex Optimization .” 2017. Web. 15 Oct 2019.

Vancouver:

Katsekpor T. Iterative Methods for Large Scale Convex Optimization . [Internet] [Doctoral dissertation]. University of Ghana; 2017. [cited 2019 Oct 15]. 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

Universidade Nova

13. Soares, Diogo Lopes. Design of multidimensional compact constellations with high power efficiency.

Degree: 2013, Universidade Nova

URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

DissertaÃ§Ã£o apresentada para obtenÃ§Ã£o do Grau de Mestre em Engenharia ElectrotÃ©cnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de CiÃªncias e Tecnologia
*Advisors/Committee Members: Dinis, Rui, Beko, Marko.*

Subjects/Keywords: Multidimensional constellations; Power efficiency; Convex optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Soares, D. L. (2013). Design of multidimensional compact constellations with high power efficiency. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Not specified: Masters Thesis or Doctoral Dissertation

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

Soares, Diogo Lopes. “Design of multidimensional compact constellations with high power efficiency.” 2013. Thesis, Universidade Nova. Accessed October 15, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Soares, Diogo Lopes. “Design of multidimensional compact constellations with high power efficiency.” 2013. Web. 15 Oct 2019.

Vancouver:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2019 Oct 15]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

14.
Zhang, H.M.
Distributed *Convex* *Optimization*: A Study on the Primal-Dual Method of Multipliers:.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b

► The Primal-Dual Method of Multipliers (PDMM) is a new algorithm that solves *convex* *optimization* problems in a distributed manner. This study focuses on the convergence…
(more)

Subjects/Keywords: convex optimization; distributed signal processing; ADMM; PDMM

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, H. M. (2015). Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b

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

Zhang, H M. “Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers:.” 2015. Masters Thesis, Delft University of Technology. Accessed October 15, 2019. http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b.

MLA Handbook (7^{th} Edition):

Zhang, H M. “Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers:.” 2015. Web. 15 Oct 2019.

Vancouver:

Zhang HM. Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Oct 15]. Available from: http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b.

Council of Science Editors:

Zhang HM. Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b

Iowa State University

15. Li, Chong. Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds.

Degree: 2013, Iowa State University

URL: https://lib.dr.iastate.edu/etd/13421

► Since the success of obtaining the capacity (i.e. the maximal achievable transmission rate under which the message can be recovered with arbitrarily small probability of…
(more)

Subjects/Keywords: Capacity; Convex Optimization; Feedback; Information Theory; Engineering

Record Details Similar Records

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APA (6^{th} Edition):

Li, C. (2013). Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13421

Not specified: Masters Thesis or Doctoral Dissertation

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

Li, Chong. “Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds.” 2013. Thesis, Iowa State University. Accessed October 15, 2019. https://lib.dr.iastate.edu/etd/13421.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Chong. “Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds.” 2013. Web. 15 Oct 2019.

Vancouver:

Li C. Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds. [Internet] [Thesis]. Iowa State University; 2013. [cited 2019 Oct 15]. Available from: https://lib.dr.iastate.edu/etd/13421.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li C. Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds. [Thesis]. Iowa State University; 2013. Available from: https://lib.dr.iastate.edu/etd/13421

Not specified: Masters Thesis or Doctoral Dissertation

Université Catholique de Louvain

16. Orban de Xivry, FranÃ§ois-Xavier. Nearest stable system.

Degree: 2013, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/132586

►

Stability is a universal concept which we experience in our everyday lives. It plays a central role in the study of dynamical systems and is… (more)

Subjects/Keywords: Stability; Dynamical system; Convex optimization; Nonconvex; Nonsmooth

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

APA (6^{th} Edition):

Orban de Xivry, F. (2013). Nearest stable system. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/132586

Not specified: Masters Thesis or Doctoral Dissertation

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

Orban de Xivry, FranÃ§ois-Xavier. “Nearest stable system.” 2013. Thesis, Université Catholique de Louvain. Accessed October 15, 2019. http://hdl.handle.net/2078.1/132586.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Orban de Xivry, FranÃ§ois-Xavier. “Nearest stable system.” 2013. Web. 15 Oct 2019.

Vancouver:

Orban de Xivry F. Nearest stable system. [Internet] [Thesis]. Université Catholique de Louvain; 2013. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2078.1/132586.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Orban de Xivry F. Nearest stable system. [Thesis]. Université Catholique de Louvain; 2013. Available from: http://hdl.handle.net/2078.1/132586

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

17.
Karimi, Mehdi.
*Convex**Optimization* via Domain-Driven Barriers and Primal-Dual Interior-Point Methods.

Degree: 2017, University of Waterloo

URL: http://hdl.handle.net/10012/12209

► This thesis studies the theory and implementation of infeasible-start primal-dual interior-point methods for *convex* *optimization* problems. *Convex* *optimization* has applications in many fields of engineering…
(more)

Subjects/Keywords: convex optimization; primal-dual interior-point methods

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

APA (6^{th} Edition):

Karimi, M. (2017). Convex Optimization via Domain-Driven Barriers and Primal-Dual Interior-Point Methods. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12209

Not specified: Masters Thesis or Doctoral Dissertation

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

Karimi, Mehdi. “Convex Optimization via Domain-Driven Barriers and Primal-Dual Interior-Point Methods.” 2017. Thesis, University of Waterloo. Accessed October 15, 2019. http://hdl.handle.net/10012/12209.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Karimi, Mehdi. “Convex Optimization via Domain-Driven Barriers and Primal-Dual Interior-Point Methods.” 2017. Web. 15 Oct 2019.

Vancouver:

Karimi M. Convex Optimization via Domain-Driven Barriers and Primal-Dual Interior-Point Methods. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10012/12209.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karimi M. Convex Optimization via Domain-Driven Barriers and Primal-Dual Interior-Point Methods. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12209

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

18.
Choi, Hyungjin.
Quantication of the Impact of Uncertainty in Power Systems using *Convex* * Optimization*.

Degree: PhD, Electrical Engineering, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/190457

► Rampant integration of renewable resources (e.g., photovoltaic and wind-energy conversion systems) and uncontrollable and elastic loads (e.g., plug-in hybrid electric vehicles) are rapidly transforming power…
(more)

Subjects/Keywords: Convex Optimization; Power Systems; Sensitivity; Stability; Uncertainty

Record Details Similar Records

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APA (6^{th} Edition):

Choi, H. (2017). Quantication of the Impact of Uncertainty in Power Systems using Convex Optimization. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/190457

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

Choi, Hyungjin. “Quantication of the Impact of Uncertainty in Power Systems using Convex Optimization.” 2017. Doctoral Dissertation, University of Minnesota. Accessed October 15, 2019. http://hdl.handle.net/11299/190457.

MLA Handbook (7^{th} Edition):

Choi, Hyungjin. “Quantication of the Impact of Uncertainty in Power Systems using Convex Optimization.” 2017. Web. 15 Oct 2019.

Vancouver:

Choi H. Quantication of the Impact of Uncertainty in Power Systems using Convex Optimization. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/11299/190457.

Council of Science Editors:

Choi H. Quantication of the Impact of Uncertainty in Power Systems using Convex Optimization. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/190457

19.
Umenberger, Jack.
* Convex* Identifcation of Stable Dynamical Systems
.

Degree: 2017, University of Sydney

URL: http://hdl.handle.net/2123/17321

► This thesis concerns the scalable application of *convex* *optimization* to data-driven modeling of dynamical systems, termed system identi cation in the control community. Two problems…
(more)

Subjects/Keywords: system identification; convex optimization; positive systems

Record Details Similar Records

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

APA (6^{th} Edition):

Umenberger, J. (2017). Convex Identifcation of Stable Dynamical Systems . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17321

Not specified: Masters Thesis or Doctoral Dissertation

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

Umenberger, Jack. “Convex Identifcation of Stable Dynamical Systems .” 2017. Thesis, University of Sydney. Accessed October 15, 2019. http://hdl.handle.net/2123/17321.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Umenberger, Jack. “Convex Identifcation of Stable Dynamical Systems .” 2017. Web. 15 Oct 2019.

Vancouver:

Umenberger J. Convex Identifcation of Stable Dynamical Systems . [Internet] [Thesis]. University of Sydney; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2123/17321.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Umenberger J. Convex Identifcation of Stable Dynamical Systems . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/17321

Not specified: Masters Thesis or Doctoral Dissertation

Tartu University

20.
Makkeh, Abdullah.
Applications of *optimization* in some complex systems
.

Degree: 2018, Tartu University

URL: http://hdl.handle.net/10062/61143

► Matemaatiline optimeerimine on optimeerimisÃ¼lesandele optimaalse lahendi leidmine, see tÃ¤hendab, et leitakse reaalarvuliste vÃ¤Ã¤rtustega funktsiooni (eesmÃ¤rkfunktsiooni) teatud kitsendusi rahuldav maksimaalne vÃµi minimaalne vÃ¤Ã¤rtus. Matemaatiline optimeerimine on…
(more)

Subjects/Keywords: complex systems; optimization; convex sets; software

Record Details Similar Records

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

APA (6^{th} Edition):

Makkeh, A. (2018). Applications of optimization in some complex systems . (Thesis). Tartu University. Retrieved from http://hdl.handle.net/10062/61143

Not specified: Masters Thesis or Doctoral Dissertation

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

Makkeh, Abdullah. “Applications of optimization in some complex systems .” 2018. Thesis, Tartu University. Accessed October 15, 2019. http://hdl.handle.net/10062/61143.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Makkeh, Abdullah. “Applications of optimization in some complex systems .” 2018. Web. 15 Oct 2019.

Vancouver:

Makkeh A. Applications of optimization in some complex systems . [Internet] [Thesis]. Tartu University; 2018. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10062/61143.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Makkeh A. Applications of optimization in some complex systems . [Thesis]. Tartu University; 2018. Available from: http://hdl.handle.net/10062/61143

Not specified: Masters Thesis or Doctoral Dissertation

Loughborough University

21.
Rossetti, Gaia.
Mathematical *optimization* techniques for cognitive radar networks.

Degree: PhD, 2018, Loughborough University

URL: https://dspace.lboro.ac.uk/2134/33419 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747937

► This thesis discusses mathematical *optimization* techniques for waveform design in cognitive radars. These techniques have been designed with an increasing level of sophistication, starting from…
(more)

Subjects/Keywords: Waveform optimization; Convex optimization; Robust optimization; Cognitive radars

Record Details Similar Records

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

APA (6^{th} Edition):

Rossetti, G. (2018). Mathematical optimization techniques for cognitive radar networks. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/33419 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747937

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

Rossetti, Gaia. “Mathematical optimization techniques for cognitive radar networks.” 2018. Doctoral Dissertation, Loughborough University. Accessed October 15, 2019. https://dspace.lboro.ac.uk/2134/33419 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747937.

MLA Handbook (7^{th} Edition):

Rossetti, Gaia. “Mathematical optimization techniques for cognitive radar networks.” 2018. Web. 15 Oct 2019.

Vancouver:

Rossetti G. Mathematical optimization techniques for cognitive radar networks. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Oct 15]. Available from: https://dspace.lboro.ac.uk/2134/33419 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747937.

Council of Science Editors:

Rossetti G. Mathematical optimization techniques for cognitive radar networks. [Doctoral Dissertation]. Loughborough University; 2018. Available from: https://dspace.lboro.ac.uk/2134/33419 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747937

University of Waterloo

22.
Linhares Rodrigues, Andre.
Approximation Algorithms for Distributionally Robust Stochastic * Optimization*.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14639

► Two-stage stochastic *optimization* is a widely used framework for modeling uncertainty, where we have a probability distribution over possible realizations of the data, called scenarios,…
(more)

Subjects/Keywords: approximation algorithms; stochastic optimization; discrete optimization; convex optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Linhares Rodrigues, A. (2019). Approximation Algorithms for Distributionally Robust Stochastic Optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14639

Not specified: Masters Thesis or Doctoral Dissertation

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

Linhares Rodrigues, Andre. “Approximation Algorithms for Distributionally Robust Stochastic Optimization.” 2019. Thesis, University of Waterloo. Accessed October 15, 2019. http://hdl.handle.net/10012/14639.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Linhares Rodrigues, Andre. “Approximation Algorithms for Distributionally Robust Stochastic Optimization.” 2019. Web. 15 Oct 2019.

Vancouver:

Linhares Rodrigues A. Approximation Algorithms for Distributionally Robust Stochastic Optimization. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10012/14639.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Linhares Rodrigues A. Approximation Algorithms for Distributionally Robust Stochastic Optimization. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14639

Not specified: Masters Thesis or Doctoral Dissertation

Loughborough University

23.
Rossetti, Gaia.
Mathematical *optimization* techniques for cognitive radar networks.

Degree: PhD, 2018, Loughborough University

URL: http://hdl.handle.net/2134/33419

► This thesis discusses mathematical *optimization* techniques for waveform design in cognitive radars. These techniques have been designed with an increasing level of sophistication, starting from…
(more)

Subjects/Keywords: Waveform optimization; Convex optimization; Robust optimization; Cognitive radars

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Rossetti, G. (2018). Mathematical optimization techniques for cognitive radar networks. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/33419

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

Rossetti, Gaia. “Mathematical optimization techniques for cognitive radar networks.” 2018. Doctoral Dissertation, Loughborough University. Accessed October 15, 2019. http://hdl.handle.net/2134/33419.

MLA Handbook (7^{th} Edition):

Rossetti, Gaia. “Mathematical optimization techniques for cognitive radar networks.” 2018. Web. 15 Oct 2019.

Vancouver:

Rossetti G. Mathematical optimization techniques for cognitive radar networks. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2134/33419.

Council of Science Editors:

Rossetti G. Mathematical optimization techniques for cognitive radar networks. [Doctoral Dissertation]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/33419

Georgia Tech

24.
Lan, Guanghui.
*Convex**optimization* under inexact first-order information.

Degree: PhD, Industrial and Systems Engineering, 2009, Georgia Tech

URL: http://hdl.handle.net/1853/29732

► In this thesis we investigate the design and complexity analysis of the algorithms to solve *convex* programming problems under inexact first-order information. In the first…
(more)

Subjects/Keywords: Convex optimization; Stochastic programming; First-order methods; Uncertainty; Mathematical optimization; Convex functions; First-order logic

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

APA (6^{th} Edition):

Lan, G. (2009). Convex optimization under inexact first-order information. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29732

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

Lan, Guanghui. “Convex optimization under inexact first-order information.” 2009. Doctoral Dissertation, Georgia Tech. Accessed October 15, 2019. http://hdl.handle.net/1853/29732.

MLA Handbook (7^{th} Edition):

Lan, Guanghui. “Convex optimization under inexact first-order information.” 2009. Web. 15 Oct 2019.

Vancouver:

Lan G. Convex optimization under inexact first-order information. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1853/29732.

Council of Science Editors:

Lan G. Convex optimization under inexact first-order information. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29732

Penn State University

25. Kang, Bosung. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).

Degree: PhD, Electrical Engineering, 2015, Penn State University

URL: https://etda.libraries.psu.edu/catalog/26539

► Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP) since estimation of the disturbance or interference…
(more)

Subjects/Keywords: convex optimization; STAP; radar signal processing; constrained optimization; detection and estimation

Record Details Similar Records

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

APA (6^{th} Edition):

Kang, B. (2015). Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/26539

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

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Doctoral Dissertation, Penn State University. Accessed October 15, 2019. https://etda.libraries.psu.edu/catalog/26539.

MLA Handbook (7^{th} Edition):

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Web. 15 Oct 2019.

Vancouver:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Oct 15]. Available from: https://etda.libraries.psu.edu/catalog/26539.

Council of Science Editors:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/26539

University of Oxford

26.
Banjac, Goran.
Operator splitting methods for *convex* *optimization* : analysis and implementation.

Degree: PhD, 2018, University of Oxford

URL: https://ora.ox.ac.uk/objects/uuid:17ac73af-9fdf-4cf6-a946-3048da3fc9c2 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740972

► *Convex* *optimization* problems are a class of mathematical problems which arise in numerous applications. Although interior-point methods can in principle solve these problems efficiently, they…
(more)

Subjects/Keywords: Mathematical optimization; Convex optimization; Operator splitting methods; Infeasibility detection; Linear convergence

Record Details Similar Records

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

APA (6^{th} Edition):

Banjac, G. (2018). Operator splitting methods for convex optimization : analysis and implementation. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:17ac73af-9fdf-4cf6-a946-3048da3fc9c2 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740972

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

Banjac, Goran. “Operator splitting methods for convex optimization : analysis and implementation.” 2018. Doctoral Dissertation, University of Oxford. Accessed October 15, 2019. https://ora.ox.ac.uk/objects/uuid:17ac73af-9fdf-4cf6-a946-3048da3fc9c2 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740972.

MLA Handbook (7^{th} Edition):

Banjac, Goran. “Operator splitting methods for convex optimization : analysis and implementation.” 2018. Web. 15 Oct 2019.

Vancouver:

Banjac G. Operator splitting methods for convex optimization : analysis and implementation. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2019 Oct 15]. Available from: https://ora.ox.ac.uk/objects/uuid:17ac73af-9fdf-4cf6-a946-3048da3fc9c2 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740972.

Council of Science Editors:

Banjac G. Operator splitting methods for convex optimization : analysis and implementation. [Doctoral Dissertation]. University of Oxford; 2018. Available from: https://ora.ox.ac.uk/objects/uuid:17ac73af-9fdf-4cf6-a946-3048da3fc9c2 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740972

Lehigh University

27.
Kuang, Xiaolong.
Conic Programming Approaches for Polynomial *Optimization*: Theory and Applications.

Degree: PhD, Industrial Engineering, 2017, Lehigh University

URL: https://preserve.lehigh.edu/etd/2952

► Historically, polynomials are among the most popular class of functions used for empirical modeling in science and engineering. Polynomials are easy to evaluate, appear naturally…
(more)

Subjects/Keywords: Conic Programming; Convex Optimization; Polynomial Optimization; Industrial Engineering

Record Details Similar Records

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APA (6^{th} Edition):

Kuang, X. (2017). Conic Programming Approaches for Polynomial Optimization: Theory and Applications. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2952

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

Kuang, Xiaolong. “Conic Programming Approaches for Polynomial Optimization: Theory and Applications.” 2017. Doctoral Dissertation, Lehigh University. Accessed October 15, 2019. https://preserve.lehigh.edu/etd/2952.

MLA Handbook (7^{th} Edition):

Kuang, Xiaolong. “Conic Programming Approaches for Polynomial Optimization: Theory and Applications.” 2017. Web. 15 Oct 2019.

Vancouver:

Kuang X. Conic Programming Approaches for Polynomial Optimization: Theory and Applications. [Internet] [Doctoral dissertation]. Lehigh University; 2017. [cited 2019 Oct 15]. Available from: https://preserve.lehigh.edu/etd/2952.

Council of Science Editors:

Kuang X. Conic Programming Approaches for Polynomial Optimization: Theory and Applications. [Doctoral Dissertation]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2952

Northeastern University

28. Moharrer, Armin. Distributing Frank-Wolfe via map-reduce.

Degree: MS, Department of Electrical and Computer Engineering, 2018, Northeastern University

URL: http://hdl.handle.net/2047/D20290439

► Large-scale *optimization* problems abound in data mining and machine learning applications, and the computational challenges they pose are often addressed through parallelization. We identify structural…
(more)

Subjects/Keywords: convex optimization; distributed algorithms; distributed optimization; Frank-Wolfe; map-reduce; spark

Record Details Similar Records

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

APA (6^{th} Edition):

Moharrer, A. (2018). Distributing Frank-Wolfe via map-reduce. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20290439

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

Moharrer, Armin. “Distributing Frank-Wolfe via map-reduce.” 2018. Masters Thesis, Northeastern University. Accessed October 15, 2019. http://hdl.handle.net/2047/D20290439.

MLA Handbook (7^{th} Edition):

Moharrer, Armin. “Distributing Frank-Wolfe via map-reduce.” 2018. Web. 15 Oct 2019.

Vancouver:

Moharrer A. Distributing Frank-Wolfe via map-reduce. [Internet] [Masters thesis]. Northeastern University; 2018. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2047/D20290439.

Council of Science Editors:

Moharrer A. Distributing Frank-Wolfe via map-reduce. [Masters Thesis]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20290439

Texas A&M University

29. Wang, Xu. Contributions to Resource Allocation in Cognitive Radio Networks.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/165774

► The continuous increase in the number of wireless devices and the huge demand for higher data rates have promoted the development of new wireless communications…
(more)

Subjects/Keywords: Cognitive radio; resource allocation; spectrum sensing; convex optimization; monotonic optimization

Record Details Similar Records

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APA (6^{th} Edition):

Wang, X. (2017). Contributions to Resource Allocation in Cognitive Radio Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165774

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

Wang, Xu. “Contributions to Resource Allocation in Cognitive Radio Networks.” 2017. Doctoral Dissertation, Texas A&M University. Accessed October 15, 2019. http://hdl.handle.net/1969.1/165774.

MLA Handbook (7^{th} Edition):

Wang, Xu. “Contributions to Resource Allocation in Cognitive Radio Networks.” 2017. Web. 15 Oct 2019.

Vancouver:

Wang X. Contributions to Resource Allocation in Cognitive Radio Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1969.1/165774.

Council of Science Editors:

Wang X. Contributions to Resource Allocation in Cognitive Radio Networks. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165774

University of California – Berkeley

30.
Godwin, Mark Franklin.
Quasi-Newton Algorithms for Non-smooth Online Strongly *Convex* * Optimization*.

Degree: Mechanical Engineering, 2011, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/7fw187gd

► The growing prevalence of networked systems with local sensing and computational capability will result in an increasing array of online and large scale *optimization* problems.…
(more)

Subjects/Keywords: Electrical engineering; Mechanical engineering; Computer science; online convex optimization; quasi-Newton; strongly convex

Record Details Similar Records

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

APA (6^{th} Edition):

Godwin, M. F. (2011). Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7fw187gd

Not specified: Masters Thesis or Doctoral Dissertation

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

Godwin, Mark Franklin. “Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization.” 2011. Thesis, University of California – Berkeley. Accessed October 15, 2019. http://www.escholarship.org/uc/item/7fw187gd.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Godwin, Mark Franklin. “Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization.” 2011. Web. 15 Oct 2019.

Vancouver:

Godwin MF. Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Oct 15]. Available from: http://www.escholarship.org/uc/item/7fw187gd.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Godwin MF. Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/7fw187gd

Not specified: Masters Thesis or Doctoral Dissertation