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323 total matches.

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- 2009 – 2013 (124)
- 2004 – 2008 (30)

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- Informatique (10)
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Degrees

- PhD (74)
- Docteur es (37)
- Master (10)

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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

❌

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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Uthayakumar R. Study on convergence of optimization problems;. [Internet] [Thesis]. INFLIBNET; 2014. [cited 2018 Mar 18]. 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

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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 March 18, 2018. http://hdl.handle.net/10063/6650.

MLA Handbook (7^{th} Edition):

Jellyman, Dayle Raymond. “Convex Optimization for Distributed Acoustic Beamforming.” 2017. Web. 18 Mar 2018.

Vancouver:

Jellyman DR. Convex Optimization for Distributed Acoustic Beamforming. [Internet] [Masters thesis]. Victoria University of Wellington; 2017. [cited 2018 Mar 18]. 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

University of Southern California

3. 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/5332

► 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

Record Details Similar Records

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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/5332

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

Taghavi, Soraya. “Quantum computation and optimized error correction.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 18, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5332.

MLA Handbook (7^{th} Edition):

Taghavi, Soraya. “Quantum computation and optimized error correction.” 2010. Web. 18 Mar 2018.

Vancouver:

Taghavi S. Quantum computation and optimized error correction. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2018 Mar 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/308762/rec/5332.

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/5332

NSYSU

4. 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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Zhang S. Study on Digital Filter Design and Coefficient Quantization. [Internet] [Thesis]. NSYSU; 2011. [cited 2018 Mar 18]. 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

Princeton University

5.
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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Ma T. Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2018 Mar 18]. 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 Waterloo

6.
Luo, Chaomin.
Novel *Convex* *Optimization* Approaches for VLSI Floorplanning.

Degree: 2008, University of Waterloo

URL: http://hdl.handle.net/10012/3678

► The floorplanning problem aims to arrange a set of rectangular modules on a rectangular chip area so as to optimize an appropriate measure of performance.…
(more)

Subjects/Keywords: Convex Optimization; VLSI Floorplanning

Record Details Similar Records

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

APA (6^{th} Edition):

Luo, C. (2008). Novel Convex Optimization Approaches for VLSI Floorplanning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3678

Not specified: Masters Thesis or Doctoral Dissertation

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

Luo, Chaomin. “Novel Convex Optimization Approaches for VLSI Floorplanning.” 2008. Thesis, University of Waterloo. Accessed March 18, 2018. http://hdl.handle.net/10012/3678.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Luo, Chaomin. “Novel Convex Optimization Approaches for VLSI Floorplanning.” 2008. Web. 18 Mar 2018.

Vancouver:

Luo C. Novel Convex Optimization Approaches for VLSI Floorplanning. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/10012/3678.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luo C. Novel Convex Optimization Approaches for VLSI Floorplanning. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/3678

Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

7.
Park, Dohyung.
Efficient non-*convex* algorithms for large-scale learning problems.

Degree: Electrical and Computer Engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/46581

► The emergence of modern large-scale datasets has led to a huge interest in the problem of learning hidden complex structures. Not only can models from…
(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):

Park, D. (2016). Efficient non-convex algorithms for large-scale learning problems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46581

Not specified: Masters Thesis or Doctoral Dissertation

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

Park, Dohyung. “Efficient non-convex algorithms for large-scale learning problems.” 2016. Thesis, University of Texas – Austin. Accessed March 18, 2018. http://hdl.handle.net/2152/46581.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Park, Dohyung. “Efficient non-convex algorithms for large-scale learning problems.” 2016. Web. 18 Mar 2018.

Vancouver:

Park D. Efficient non-convex algorithms for large-scale learning problems. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/2152/46581.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park D. Efficient non-convex algorithms for large-scale learning problems. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46581

Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

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

Degree: 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. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41579

Not specified: Masters Thesis or Doctoral Dissertation

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

Berning, Andrew Walter, Jr. “Verification of successive convexification algorithm.” 2016. Thesis, University of Texas – Austin. Accessed March 18, 2018. http://hdl.handle.net/2152/41579.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Berning, Andrew Walter, Jr. “Verification of successive convexification algorithm.” 2016. Web. 18 Mar 2018.

Vancouver:

Berning, Andrew Walter J. Verification of successive convexification algorithm. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/2152/41579.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

9.
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Choi H. Quantication of the Impact of Uncertainty in Power Systems using Convex Optimization. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2018 Mar 18]. 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

Université Catholique de Louvain

10. Orban de Xivry, François-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

Record Details Similar Records

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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, François-Xavier. “Nearest stable system.” 2013. Thesis, Université Catholique de Louvain. Accessed March 18, 2018. http://hdl.handle.net/2078.1/132586.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Orban de Xivry, François-Xavier. “Nearest stable system.” 2013. Web. 18 Mar 2018.

Vancouver:

Orban de Xivry F. Nearest stable system. [Internet] [Thesis]. Université Catholique de Louvain; 2013. [cited 2018 Mar 18]. 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 Edinburgh

11. Liu, Weigang. Enhancing physical layer security in wireless networks with cooperative approaches.

Degree: PhD, 2016, University of Edinburgh

URL: http://hdl.handle.net/1842/19565

► Motivated by recent developments in wireless communication, this thesis aims to characterize the secrecy performance in several types of typical wireless networks. Advanced techniques are…
(more)

Subjects/Keywords: physical layer security; convex optimization; stochastic geometry

Record Details Similar Records

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APA (6^{th} Edition):

Liu, W. (2016). Enhancing physical layer security in wireless networks with cooperative approaches. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/19565

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

Liu, Weigang. “Enhancing physical layer security in wireless networks with cooperative approaches.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed March 18, 2018. http://hdl.handle.net/1842/19565.

MLA Handbook (7^{th} Edition):

Liu, Weigang. “Enhancing physical layer security in wireless networks with cooperative approaches.” 2016. Web. 18 Mar 2018.

Vancouver:

Liu W. Enhancing physical layer security in wireless networks with cooperative approaches. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/1842/19565.

Council of Science Editors:

Liu W. Enhancing physical layer security in wireless networks with cooperative approaches. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/19565

University of Ontario Institute of Technology

12.
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

Record Details Similar Records

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

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 March 18, 2018. 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. 18 Mar 2018.

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 2018 Mar 18]. 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

Iowa State University

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

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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Li C. Fundamental limitations on communication channels with noisy feedback: information flow, capacity and bounds. [Internet] [Thesis]. Iowa State University; 2013. [cited 2018 Mar 18]. 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

Universidade Nova

14. 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

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências 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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2018 Mar 18]. 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

15.
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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Zhang HM. Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2018 Mar 18]. 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

16.
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

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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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Umenberger J. Convex Identifcation of Stable Dynamical Systems . [Internet] [Thesis]. University of Sydney; 2017. [cited 2018 Mar 18]. 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

University of New South Wales

17.
Ha, Hoang Kha.
Linear phase filter bank design by *convex* programming.

Degree: Electrical Engineering & Telecommunications, 2008, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/43268

► Digital filter banks have found in a wide variety of applications in data compression, digital communications, and adaptive signal processing. The common objectives of the…
(more)

Subjects/Keywords: Semidefinite programming; Filter banks; Convex optimization

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APA (6^{th} Edition):

Ha, H. K. (2008). Linear phase filter bank design by convex programming. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/43268

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

Ha, Hoang Kha. “Linear phase filter bank design by convex programming.” 2008. Doctoral Dissertation, University of New South Wales. Accessed March 18, 2018. http://handle.unsw.edu.au/1959.4/43268.

MLA Handbook (7^{th} Edition):

Ha, Hoang Kha. “Linear phase filter bank design by convex programming.” 2008. Web. 18 Mar 2018.

Vancouver:

Ha HK. Linear phase filter bank design by convex programming. [Internet] [Doctoral dissertation]. University of New South Wales; 2008. [cited 2018 Mar 18]. Available from: http://handle.unsw.edu.au/1959.4/43268.

Council of Science Editors:

Ha HK. Linear phase filter bank design by convex programming. [Doctoral Dissertation]. University of New South Wales; 2008. Available from: http://handle.unsw.edu.au/1959.4/43268

University of Waterloo

18.
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 (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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Karimi M. Convex Optimization via Domain-Driven Barriers and Primal-Dual Interior-Point Methods. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2018 Mar 18]. 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

Georgia Tech

19.
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 (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 March 18, 2018. http://hdl.handle.net/1853/29732.

MLA Handbook (7^{th} Edition):

Lan, Guanghui. “Convex optimization under inexact first-order information.” 2009. Web. 18 Mar 2018.

Vancouver:

Lan G. Convex optimization under inexact first-order information. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2018 Mar 18]. 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

20. 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

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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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2018 Mar 18]. 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 California – Berkeley

21.
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

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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 March 18, 2018. 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. 18 Mar 2018.

Vancouver:

Godwin MF. Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2018 Mar 18]. 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

Université Catholique de Louvain

22.
Taylor, Adrien.
* Convex* interpolation and performance estimation of first-order methods for

Degree: 2017, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/182881

►

The goal of this thesis is to show how to derive in a completely automated way exact and global worst-case guarantees for first-order methods in… (more)

Subjects/Keywords: Convex optimization; Convex analysis; First-order methods; Worst-case analysis; Semidefinite programming; Performance Estimation; Steepest descent; Convex interpolation

Record Details Similar Records

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APA (6^{th} Edition):

Taylor, A. (2017). Convex interpolation and performance estimation of first-order methods for convex optimization. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/182881

Not specified: Masters Thesis or Doctoral Dissertation

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

Taylor, Adrien. “Convex interpolation and performance estimation of first-order methods for convex optimization.” 2017. Thesis, Université Catholique de Louvain. Accessed March 18, 2018. http://hdl.handle.net/2078.1/182881.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Taylor, Adrien. “Convex interpolation and performance estimation of first-order methods for convex optimization.” 2017. Web. 18 Mar 2018.

Vancouver:

Taylor A. Convex interpolation and performance estimation of first-order methods for convex optimization. [Internet] [Thesis]. Université Catholique de Louvain; 2017. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/2078.1/182881.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taylor A. Convex interpolation and performance estimation of first-order methods for convex optimization. [Thesis]. Université Catholique de Louvain; 2017. Available from: http://hdl.handle.net/2078.1/182881

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

23.
Ahmadi, Hesamoddin.
On the Analysis of Data-driven and Distributed Algorithms
for *Convex* *Optimization* Problems.

Degree: PhD, Industrial Engineering, 2016, Penn State University

URL: https://etda.libraries.psu.edu/catalog/29502

► This dissertation considers the resolution of three *optimization* problems. Of these, the first two problems are closely related and focus on solving *optimization* problems in…
(more)

Subjects/Keywords: Optimization and learning; distributed optimization in power system; convex optimization; augmented Lagrangian

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APA (6^{th} Edition):

Ahmadi, H. (2016). On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/29502

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

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Doctoral Dissertation, Penn State University. Accessed March 18, 2018. https://etda.libraries.psu.edu/catalog/29502.

MLA Handbook (7^{th} Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Web. 18 Mar 2018.

Vancouver:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2018 Mar 18]. Available from: https://etda.libraries.psu.edu/catalog/29502.

Council of Science Editors:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/29502

Carnegie Mellon University

24. Xiong, Xuehan. Supervised Descent Method.

Degree: 2015, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/652

► In this dissertation, we focus on solving Nonlinear Least Squares problems using a supervised approach. In particular, we developed a Supervised Descent Method (SDM), performed…
(more)

Subjects/Keywords: nonlinear optimization; global optimization; non-convex optimization; nonlinear least squares; face alignment; facial feature tracking

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APA (6^{th} Edition):

Xiong, X. (2015). Supervised Descent Method. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/652

Not specified: Masters Thesis or Doctoral Dissertation

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

Xiong, Xuehan. “Supervised Descent Method.” 2015. Thesis, Carnegie Mellon University. Accessed March 18, 2018. http://repository.cmu.edu/dissertations/652.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Xiong, Xuehan. “Supervised Descent Method.” 2015. Web. 18 Mar 2018.

Vancouver:

Xiong X. Supervised Descent Method. [Internet] [Thesis]. Carnegie Mellon University; 2015. [cited 2018 Mar 18]. Available from: http://repository.cmu.edu/dissertations/652.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xiong X. Supervised Descent Method. [Thesis]. Carnegie Mellon University; 2015. Available from: http://repository.cmu.edu/dissertations/652

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

25. Devulapalli, Raghuveer. Geometric partitioning algorithms for fair division of geographic resources.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/165305

► This dissertation focuses on a fundamental but under-researched problem: how does one divide a piece of territory into smaller pieces in an efficient way? In…
(more)

Subjects/Keywords: Computational Geometry; Convex Optimization; Geometric Algorithms; Geometric Optimization; Infinite Dimensional Optimization; Operations Research

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APA (6^{th} Edition):

Devulapalli, R. (2014). Geometric partitioning algorithms for fair division of geographic resources. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165305

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

Devulapalli, Raghuveer. “Geometric partitioning algorithms for fair division of geographic resources.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 18, 2018. http://hdl.handle.net/11299/165305.

MLA Handbook (7^{th} Edition):

Devulapalli, Raghuveer. “Geometric partitioning algorithms for fair division of geographic resources.” 2014. Web. 18 Mar 2018.

Vancouver:

Devulapalli R. Geometric partitioning algorithms for fair division of geographic resources. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/11299/165305.

Council of Science Editors:

Devulapalli R. Geometric partitioning algorithms for fair division of geographic resources. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165305

University of Western Ontario

26. Baxter, John SH. Contributions of Continuous Max-Flow Theory to Medical Image Processing.

Degree: 2017, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/4602

► Discrete graph cuts and continuous max-flow theory have created a paradigm shift in many areas of medical image processing. As previous methods limited themselves to…
(more)

Subjects/Keywords: optimization-based segmentation; image enhancement; variational optimization; convex optimization; Biomedical Engineering and Bioengineering

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APA (6^{th} Edition):

Baxter, J. S. (2017). Contributions of Continuous Max-Flow Theory to Medical Image Processing. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4602

Not specified: Masters Thesis or Doctoral Dissertation

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

Baxter, John SH. “Contributions of Continuous Max-Flow Theory to Medical Image Processing.” 2017. Thesis, University of Western Ontario. Accessed March 18, 2018. https://ir.lib.uwo.ca/etd/4602.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Baxter, John SH. “Contributions of Continuous Max-Flow Theory to Medical Image Processing.” 2017. Web. 18 Mar 2018.

Vancouver:

Baxter JS. Contributions of Continuous Max-Flow Theory to Medical Image Processing. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2018 Mar 18]. Available from: https://ir.lib.uwo.ca/etd/4602.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baxter JS. Contributions of Continuous Max-Flow Theory to Medical Image Processing. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4602

Not specified: Masters Thesis or Doctoral Dissertation

Northeastern University

27.
Cheng, Yongfang.
Robust model fitting via *convex* *optimization* techniques.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, Northeastern University

URL: http://hdl.handle.net/2047/D20236918

► The past few years have witnessed an unprecedented growth in data acquisition capabilities due to the tremendous advances in information sensing. Although these developments have…
(more)

Subjects/Keywords: convex optimization; model fitting; model invalidation; robust; subspace clustering; Mathematical optimization; Convex functions; Cluster analysis; Regression analysis; Mathematical models

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

APA (6^{th} Edition):

Cheng, Y. (2016). Robust model fitting via convex optimization techniques. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20236918

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

Cheng, Yongfang. “Robust model fitting via convex optimization techniques.” 2016. Doctoral Dissertation, Northeastern University. Accessed March 18, 2018. http://hdl.handle.net/2047/D20236918.

MLA Handbook (7^{th} Edition):

Cheng, Yongfang. “Robust model fitting via convex optimization techniques.” 2016. Web. 18 Mar 2018.

Vancouver:

Cheng Y. Robust model fitting via convex optimization techniques. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/2047/D20236918.

Council of Science Editors:

Cheng Y. Robust model fitting via convex optimization techniques. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20236918

University of Minnesota

28.
Kadkhodaie Elyaderani, Mojtaba.
A Computational and Statistical Study of *Convex* and Nonconvex *Optimization* with Applications to Structured Source Demixing and Matrix Factorization Problems.

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

URL: http://hdl.handle.net/11299/191334

► Modern machine learning problems that emerge from real-world applications typically involve estimating high dimensional model parameters, whose number may be of the same order as…
(more)

Subjects/Keywords: Alternating Direction Method of Multipliers; Convex Optimization; Group Lasso; Local Convergence Analysis; Low-rank Matrix Factorization; 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):

Kadkhodaie Elyaderani, M. (2017). A Computational and Statistical Study of Convex and Nonconvex Optimization with Applications to Structured Source Demixing and Matrix Factorization Problems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191334

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

Kadkhodaie Elyaderani, Mojtaba. “A Computational and Statistical Study of Convex and Nonconvex Optimization with Applications to Structured Source Demixing and Matrix Factorization Problems.” 2017. Doctoral Dissertation, University of Minnesota. Accessed March 18, 2018. http://hdl.handle.net/11299/191334.

MLA Handbook (7^{th} Edition):

Kadkhodaie Elyaderani, Mojtaba. “A Computational and Statistical Study of Convex and Nonconvex Optimization with Applications to Structured Source Demixing and Matrix Factorization Problems.” 2017. Web. 18 Mar 2018.

Vancouver:

Kadkhodaie Elyaderani M. A Computational and Statistical Study of Convex and Nonconvex Optimization with Applications to Structured Source Demixing and Matrix Factorization Problems. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/11299/191334.

Council of Science Editors:

Kadkhodaie Elyaderani M. A Computational and Statistical Study of Convex and Nonconvex Optimization with Applications to Structured Source Demixing and Matrix Factorization Problems. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/191334

University of Iowa

29.
Chen, Jieqiu.
* Convex* relaxations in nonconvex and applied

Degree: PhD, Business Administration, 2010, University of Iowa

URL: http://ir.uiowa.edu/etd/654

► Traditionally, linear programming (LP) has been used to construct *convex* relaxations in the context of branch and bound for determining global optimal solutions to…
(more)

Subjects/Keywords: Convex Optimization; Convex Relaxation; Global Optimization; Quadratic Programming; Second-order Cone Programming; Semidefinite Programming; Business Administration, Management, and Operations

Record Details Similar Records

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

APA (6^{th} Edition):

Chen, J. (2010). Convex relaxations in nonconvex and applied optimization. (Doctoral Dissertation). University of Iowa. Retrieved from http://ir.uiowa.edu/etd/654

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

Chen, Jieqiu. “Convex relaxations in nonconvex and applied optimization.” 2010. Doctoral Dissertation, University of Iowa. Accessed March 18, 2018. http://ir.uiowa.edu/etd/654.

MLA Handbook (7^{th} Edition):

Chen, Jieqiu. “Convex relaxations in nonconvex and applied optimization.” 2010. Web. 18 Mar 2018.

Vancouver:

Chen J. Convex relaxations in nonconvex and applied optimization. [Internet] [Doctoral dissertation]. University of Iowa; 2010. [cited 2018 Mar 18]. Available from: http://ir.uiowa.edu/etd/654.

Council of Science Editors:

Chen J. Convex relaxations in nonconvex and applied optimization. [Doctoral Dissertation]. University of Iowa; 2010. Available from: http://ir.uiowa.edu/etd/654

Northeastern University

30.
Wang, Yin.
Tractable problems in estimation and control *subject* to sparsity and structural constraints.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, Northeastern University

URL: http://hdl.handle.net/2047/D20214120

► Recent advances in sensing technology have led to an explosion on the amount of data that can be harvested from systems. However, in order to…
(more)

Subjects/Keywords: convex optimization theory; tractable tools; Big data; Convex functions; Mathematical optimization; Regression analysis; Analysis of covariance; Data structures (Computer science)

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

APA (6^{th} Edition):

Wang, Y. (2016). Tractable problems in estimation and control subject to sparsity and structural constraints. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20214120

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

Wang, Yin. “Tractable problems in estimation and control subject to sparsity and structural constraints.” 2016. Doctoral Dissertation, Northeastern University. Accessed March 18, 2018. http://hdl.handle.net/2047/D20214120.

MLA Handbook (7^{th} Edition):

Wang, Yin. “Tractable problems in estimation and control subject to sparsity and structural constraints.” 2016. Web. 18 Mar 2018.

Vancouver:

Wang Y. Tractable problems in estimation and control subject to sparsity and structural constraints. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2018 Mar 18]. Available from: http://hdl.handle.net/2047/D20214120.

Council of Science Editors:

Wang Y. Tractable problems in estimation and control subject to sparsity and structural constraints. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20214120