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You searched for subject:(Mathematical optimization). Showing records 1 – 30 of 1229 total matches.

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Rutgers University

1. Varzgani, Nilofar. New dynamic optimization models for tax loss valuation and sourcing problems.

Degree: PhD, Management, 2017, Rutgers University

The dissertation comprises of three essays on multi-period dynamic optimization models. The first and second essays address the problem of valuing tax loss-carryforward(s) (TCLFs) and… (more)

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Varzgani, N. (2017). New dynamic optimization models for tax loss valuation and sourcing problems. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55295/

Chicago Manual of Style (16th Edition):

Varzgani, Nilofar. “New dynamic optimization models for tax loss valuation and sourcing problems.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55295/.

MLA Handbook (7th Edition):

Varzgani, Nilofar. “New dynamic optimization models for tax loss valuation and sourcing problems.” 2017. Web. 20 Sep 2020.

Vancouver:

Varzgani N. New dynamic optimization models for tax loss valuation and sourcing problems. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55295/.

Council of Science Editors:

Varzgani N. New dynamic optimization models for tax loss valuation and sourcing problems. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55295/


Rutgers University

2. Du, Yu, 1987-. Selective linearization for multi-block convex optimization.

Degree: PhD, Operations Research, 2017, Rutgers University

We consider the problem of minimizing a sum of several convex non-smooth functions. In this thesis, we introduce a new algorithm called the selective linearization… (more)

Subjects/Keywords: Mathematical optimization; Nonsmooth optimization

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APA (6th Edition):

Du, Yu, 1. (2017). Selective linearization for multi-block convex optimization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/53611/

Chicago Manual of Style (16th Edition):

Du, Yu, 1987-. “Selective linearization for multi-block convex optimization.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/53611/.

MLA Handbook (7th Edition):

Du, Yu, 1987-. “Selective linearization for multi-block convex optimization.” 2017. Web. 20 Sep 2020.

Vancouver:

Du, Yu 1. Selective linearization for multi-block convex optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53611/.

Council of Science Editors:

Du, Yu 1. Selective linearization for multi-block convex optimization. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53611/

3. Long, Qiang. Nonsmooth and derivative-free optimization based hybrid methods and applications.

Degree: 2014, Federation University Australia

"In this thesis, we develop hybrid methods for solving global and in particular, nonsmooth optimization problems. Hybrid methods are becoming more popular in global optimization(more)

Subjects/Keywords: Mathematical optimization; Nonsmooth optimization; Algorithms

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APA (6th Edition):

Long, Q. (2014). Nonsmooth and derivative-free optimization based hybrid methods and applications. (Thesis). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/101826 ; http://library.federation.edu.au/record=b2670972

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

Chicago Manual of Style (16th Edition):

Long, Qiang. “Nonsmooth and derivative-free optimization based hybrid methods and applications.” 2014. Thesis, Federation University Australia. Accessed September 20, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/101826 ; http://library.federation.edu.au/record=b2670972.

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

MLA Handbook (7th Edition):

Long, Qiang. “Nonsmooth and derivative-free optimization based hybrid methods and applications.” 2014. Web. 20 Sep 2020.

Vancouver:

Long Q. Nonsmooth and derivative-free optimization based hybrid methods and applications. [Internet] [Thesis]. Federation University Australia; 2014. [cited 2020 Sep 20]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/101826 ; http://library.federation.edu.au/record=b2670972.

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

Council of Science Editors:

Long Q. Nonsmooth and derivative-free optimization based hybrid methods and applications. [Thesis]. Federation University Australia; 2014. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/101826 ; http://library.federation.edu.au/record=b2670972

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


University of Johannesburg

4. Meyer, Thomas William Saymoir. Die implementering en eksperimentele evaluering van enkele diskrete optimeringsalgoritmes.

Degree: 2014, University of Johannesburg

M.Sc. (Computer Science)

Chapter 1 is a summary in which the problems- discussed in this study, as well as the relationship between them are shown.… (more)

Subjects/Keywords: Mathematical optimization; Algorithms

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APA (6th Edition):

Meyer, T. W. S. (2014). Die implementering en eksperimentele evaluering van enkele diskrete optimeringsalgoritmes. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/10003

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

Chicago Manual of Style (16th Edition):

Meyer, Thomas William Saymoir. “Die implementering en eksperimentele evaluering van enkele diskrete optimeringsalgoritmes.” 2014. Thesis, University of Johannesburg. Accessed September 20, 2020. http://hdl.handle.net/10210/10003.

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

MLA Handbook (7th Edition):

Meyer, Thomas William Saymoir. “Die implementering en eksperimentele evaluering van enkele diskrete optimeringsalgoritmes.” 2014. Web. 20 Sep 2020.

Vancouver:

Meyer TWS. Die implementering en eksperimentele evaluering van enkele diskrete optimeringsalgoritmes. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10210/10003.

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

Council of Science Editors:

Meyer TWS. Die implementering en eksperimentele evaluering van enkele diskrete optimeringsalgoritmes. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/10003

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


Columbia University

5. Kang, Yang. Distributionally Robust Optimization and its Applications in Machine Learning.

Degree: 2017, Columbia University

 The goal of Distributionally Robust Optimization (DRO) is to minimize the cost of running a stochastic system, under the assumption that an adversary can replace… (more)

Subjects/Keywords: Statistics; Robust optimization; Machine learning; Mathematical optimization

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APA (6th Edition):

Kang, Y. (2017). Distributionally Robust Optimization and its Applications in Machine Learning. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8WD4C1R

Chicago Manual of Style (16th Edition):

Kang, Yang. “Distributionally Robust Optimization and its Applications in Machine Learning.” 2017. Doctoral Dissertation, Columbia University. Accessed September 20, 2020. https://doi.org/10.7916/D8WD4C1R.

MLA Handbook (7th Edition):

Kang, Yang. “Distributionally Robust Optimization and its Applications in Machine Learning.” 2017. Web. 20 Sep 2020.

Vancouver:

Kang Y. Distributionally Robust Optimization and its Applications in Machine Learning. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2020 Sep 20]. Available from: https://doi.org/10.7916/D8WD4C1R.

Council of Science Editors:

Kang Y. Distributionally Robust Optimization and its Applications in Machine Learning. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8WD4C1R


Montana State University

6. Condori Quispe, Hugo Orlando. Implementation of null steering algorithms in a compact analog array.

Degree: MS, College of Engineering, 2014, Montana State University

 In this thesis, the implementation of null steering algorithms in a compact analog array is demonstrated and validated. The performance of the null steering algorithms… (more)

Subjects/Keywords: Algorithms.; Antenna arrays.; Mathematical optimization.; Structural optimization.

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APA (6th Edition):

Condori Quispe, H. O. (2014). Implementation of null steering algorithms in a compact analog array. (Masters Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/3344

Chicago Manual of Style (16th Edition):

Condori Quispe, Hugo Orlando. “Implementation of null steering algorithms in a compact analog array.” 2014. Masters Thesis, Montana State University. Accessed September 20, 2020. https://scholarworks.montana.edu/xmlui/handle/1/3344.

MLA Handbook (7th Edition):

Condori Quispe, Hugo Orlando. “Implementation of null steering algorithms in a compact analog array.” 2014. Web. 20 Sep 2020.

Vancouver:

Condori Quispe HO. Implementation of null steering algorithms in a compact analog array. [Internet] [Masters thesis]. Montana State University; 2014. [cited 2020 Sep 20]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/3344.

Council of Science Editors:

Condori Quispe HO. Implementation of null steering algorithms in a compact analog array. [Masters Thesis]. Montana State University; 2014. Available from: https://scholarworks.montana.edu/xmlui/handle/1/3344


Carnegie Mellon University

7. Drouven, Markus G. Mixed Integer Programming Models for Shale Gas Development.

Degree: 2017, Carnegie Mellon University

 Shale gas development is transforming the energy landscape in the United States. Advances in production technologies, notably the dual application of horizontal drilling and hydraulic… (more)

Subjects/Keywords: mathematical programming; optimization; shale gas

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APA (6th Edition):

Drouven, M. G. (2017). Mixed Integer Programming Models for Shale Gas Development. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/874

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

Chicago Manual of Style (16th Edition):

Drouven, Markus G. “Mixed Integer Programming Models for Shale Gas Development.” 2017. Thesis, Carnegie Mellon University. Accessed September 20, 2020. http://repository.cmu.edu/dissertations/874.

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

MLA Handbook (7th Edition):

Drouven, Markus G. “Mixed Integer Programming Models for Shale Gas Development.” 2017. Web. 20 Sep 2020.

Vancouver:

Drouven MG. Mixed Integer Programming Models for Shale Gas Development. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Sep 20]. Available from: http://repository.cmu.edu/dissertations/874.

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

Council of Science Editors:

Drouven MG. Mixed Integer Programming Models for Shale Gas Development. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/874

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


University of Oxford

8. Roberts, Lindon. Derivative-free algorithms for nonlinear optimisation problems.

Degree: PhD, 2019, University of Oxford

 Minimising a nonlinear function is a ubiquitous problem in applications, and standard algorithms need accurate evaluations of the function and its derivatives. However, if the… (more)

Subjects/Keywords: Mathematical optimization; Numerical analysis

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APA (6th Edition):

Roberts, L. (2019). Derivative-free algorithms for nonlinear optimisation problems. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:ec76e895-6eee-491a-88ed-b4ed10fa6003 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791670

Chicago Manual of Style (16th Edition):

Roberts, Lindon. “Derivative-free algorithms for nonlinear optimisation problems.” 2019. Doctoral Dissertation, University of Oxford. Accessed September 20, 2020. http://ora.ox.ac.uk/objects/uuid:ec76e895-6eee-491a-88ed-b4ed10fa6003 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791670.

MLA Handbook (7th Edition):

Roberts, Lindon. “Derivative-free algorithms for nonlinear optimisation problems.” 2019. Web. 20 Sep 2020.

Vancouver:

Roberts L. Derivative-free algorithms for nonlinear optimisation problems. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2020 Sep 20]. Available from: http://ora.ox.ac.uk/objects/uuid:ec76e895-6eee-491a-88ed-b4ed10fa6003 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791670.

Council of Science Editors:

Roberts L. Derivative-free algorithms for nonlinear optimisation problems. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:ec76e895-6eee-491a-88ed-b4ed10fa6003 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791670


University of Ballarat

9. Sultanova, Nargiz. A class of Increasing Positively Homogeneous functions for which global optimization problem is NP-hard.

Degree: Master of Mathematical Sciences (Research), 2009, University of Ballarat

It is well known that global optimization problems are, generally speaking, computationally infeasible, that is solving them would require an unreasonably large amount of time… (more)

Subjects/Keywords: Mathematical optimization; Australian Digital Thesis

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APA (6th Edition):

Sultanova, N. (2009). A class of Increasing Positively Homogeneous functions for which global optimization problem is NP-hard. (Masters Thesis). University of Ballarat. Retrieved from http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/46498

Chicago Manual of Style (16th Edition):

Sultanova, Nargiz. “A class of Increasing Positively Homogeneous functions for which global optimization problem is NP-hard.” 2009. Masters Thesis, University of Ballarat. Accessed September 20, 2020. http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/46498.

MLA Handbook (7th Edition):

Sultanova, Nargiz. “A class of Increasing Positively Homogeneous functions for which global optimization problem is NP-hard.” 2009. Web. 20 Sep 2020.

Vancouver:

Sultanova N. A class of Increasing Positively Homogeneous functions for which global optimization problem is NP-hard. [Internet] [Masters thesis]. University of Ballarat; 2009. [cited 2020 Sep 20]. Available from: http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/46498.

Council of Science Editors:

Sultanova N. A class of Increasing Positively Homogeneous functions for which global optimization problem is NP-hard. [Masters Thesis]. University of Ballarat; 2009. Available from: http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/46498


University of Waterloo

10. Graf, Alessandra. Finding Independent Transversals Efficiently.

Degree: 2019, University of Waterloo

 Let G be a graph and (V_1,...,V_m) be a vertex partition of G. An independent transversal (IT) of G with respect to (V_1,...,V_m) is an… (more)

Subjects/Keywords: Combinatorial analysis; Mathematical optimization; Algorithms

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APA (6th Edition):

Graf, A. (2019). Finding Independent Transversals Efficiently. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14932

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

Chicago Manual of Style (16th Edition):

Graf, Alessandra. “Finding Independent Transversals Efficiently.” 2019. Thesis, University of Waterloo. Accessed September 20, 2020. http://hdl.handle.net/10012/14932.

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

MLA Handbook (7th Edition):

Graf, Alessandra. “Finding Independent Transversals Efficiently.” 2019. Web. 20 Sep 2020.

Vancouver:

Graf A. Finding Independent Transversals Efficiently. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10012/14932.

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

Council of Science Editors:

Graf A. Finding Independent Transversals Efficiently. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14932

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


Cape Peninsula University of Technology

11. Fourie, Jecois. Numerical optimisation of the gating system of a titanium alloy inlet valve casting .

Degree: 2014, Cape Peninsula University of Technology

 The research described in this dissertation investigates the feasibility of casting inlet valves for an internal combustion engine using Ti6Al4V alloy. The engine valves operate… (more)

Subjects/Keywords: Titanium alloys; Mathematical optimization

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APA (6th Edition):

Fourie, J. (2014). Numerical optimisation of the gating system of a titanium alloy inlet valve casting . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/1290

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

Chicago Manual of Style (16th Edition):

Fourie, Jecois. “Numerical optimisation of the gating system of a titanium alloy inlet valve casting .” 2014. Thesis, Cape Peninsula University of Technology. Accessed September 20, 2020. http://etd.cput.ac.za/handle/20.500.11838/1290.

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

MLA Handbook (7th Edition):

Fourie, Jecois. “Numerical optimisation of the gating system of a titanium alloy inlet valve casting .” 2014. Web. 20 Sep 2020.

Vancouver:

Fourie J. Numerical optimisation of the gating system of a titanium alloy inlet valve casting . [Internet] [Thesis]. Cape Peninsula University of Technology; 2014. [cited 2020 Sep 20]. Available from: http://etd.cput.ac.za/handle/20.500.11838/1290.

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

Council of Science Editors:

Fourie J. Numerical optimisation of the gating system of a titanium alloy inlet valve casting . [Thesis]. Cape Peninsula University of Technology; 2014. Available from: http://etd.cput.ac.za/handle/20.500.11838/1290

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


Oregon State University

12. Smith, Steven J. Optimal harvesting of continuous age structured populations.

Degree: PhD, Mathematics, 1988, Oregon State University

 We investigate the optimal harvesting strategies for McKendrick type population models. Models of this type endow the population with a continuous age structure. They consist… (more)

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Smith, S. J. (1988). Optimal harvesting of continuous age structured populations. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/16824

Chicago Manual of Style (16th Edition):

Smith, Steven J. “Optimal harvesting of continuous age structured populations.” 1988. Doctoral Dissertation, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/16824.

MLA Handbook (7th Edition):

Smith, Steven J. “Optimal harvesting of continuous age structured populations.” 1988. Web. 20 Sep 2020.

Vancouver:

Smith SJ. Optimal harvesting of continuous age structured populations. [Internet] [Doctoral dissertation]. Oregon State University; 1988. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/16824.

Council of Science Editors:

Smith SJ. Optimal harvesting of continuous age structured populations. [Doctoral Dissertation]. Oregon State University; 1988. Available from: http://hdl.handle.net/1957/16824


Oregon State University

13. Lodwick, Weldon A. Two numerical methods for the solutions of optimal control problems with computed error bounds using the maximum principle of pontryagin.

Degree: PhD, Mathematics, 1979, Oregon State University

A simplification of the proof of the maximum principle of Pontryagin is obtained for constrained and unconstrained optimal control problems. Two numerical methods for solving optimal control problems with guaranteed error bounds using the maximum principle of Pontryagin and interval analysis are derived. Advisors/Committee Members: Davis, Joel (advisor).

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Lodwick, W. A. (1979). Two numerical methods for the solutions of optimal control problems with computed error bounds using the maximum principle of pontryagin. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/17556

Chicago Manual of Style (16th Edition):

Lodwick, Weldon A. “Two numerical methods for the solutions of optimal control problems with computed error bounds using the maximum principle of pontryagin.” 1979. Doctoral Dissertation, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/17556.

MLA Handbook (7th Edition):

Lodwick, Weldon A. “Two numerical methods for the solutions of optimal control problems with computed error bounds using the maximum principle of pontryagin.” 1979. Web. 20 Sep 2020.

Vancouver:

Lodwick WA. Two numerical methods for the solutions of optimal control problems with computed error bounds using the maximum principle of pontryagin. [Internet] [Doctoral dissertation]. Oregon State University; 1979. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/17556.

Council of Science Editors:

Lodwick WA. Two numerical methods for the solutions of optimal control problems with computed error bounds using the maximum principle of pontryagin. [Doctoral Dissertation]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/17556


University of Oklahoma

14. Lin, Chenxi. Problems in the design and operation of uncertain complex engineering systems.

Degree: PhD, 2011, University of Oklahoma

 In this dissertation, we consider two problems. The first one is a general approach to the optimal design of uncertain dynamical systems, where the uncertainty… (more)

Subjects/Keywords: Differentiable dynamical systems; Mathematical optimization

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APA (6th Edition):

Lin, C. (2011). Problems in the design and operation of uncertain complex engineering systems. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318961

Chicago Manual of Style (16th Edition):

Lin, Chenxi. “Problems in the design and operation of uncertain complex engineering systems.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed September 20, 2020. http://hdl.handle.net/11244/318961.

MLA Handbook (7th Edition):

Lin, Chenxi. “Problems in the design and operation of uncertain complex engineering systems.” 2011. Web. 20 Sep 2020.

Vancouver:

Lin C. Problems in the design and operation of uncertain complex engineering systems. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11244/318961.

Council of Science Editors:

Lin C. Problems in the design and operation of uncertain complex engineering systems. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/318961


University of Oklahoma

15. Wang, Jiahui. System Optimum and Collaborative Planning for Liner Shipping.

Degree: PhD, 2013, University of Oklahoma

 There are multifarious academic research studies available concerning the optimization of a liner shipping company's benefit in terms of its individual behavior. The existing literature… (more)

Subjects/Keywords: Optimum ship routing; Mathematical optimization

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APA (6th Edition):

Wang, J. (2013). System Optimum and Collaborative Planning for Liner Shipping. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319124

Chicago Manual of Style (16th Edition):

Wang, Jiahui. “System Optimum and Collaborative Planning for Liner Shipping.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed September 20, 2020. http://hdl.handle.net/11244/319124.

MLA Handbook (7th Edition):

Wang, Jiahui. “System Optimum and Collaborative Planning for Liner Shipping.” 2013. Web. 20 Sep 2020.

Vancouver:

Wang J. System Optimum and Collaborative Planning for Liner Shipping. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11244/319124.

Council of Science Editors:

Wang J. System Optimum and Collaborative Planning for Liner Shipping. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/319124


University of Oklahoma

16. Gately, Matthew Brandon. Multiple Real-Constant Multiplication for Computationally Efficient Implementation of Digital Transforms.

Degree: PhD, 2012, University of Oklahoma

Finally, we conclude the work by offering recommendations for possible future work in the development of efficient MRCM algorithms and novel problem formulations for optimizing MCM circuits. Advisors/Committee Members: Yeary, Mark B (advisor).

Subjects/Keywords: Algorithms; Transformations (Mathematics); Mathematical optimization

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APA (6th Edition):

Gately, M. B. (2012). Multiple Real-Constant Multiplication for Computationally Efficient Implementation of Digital Transforms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318631

Chicago Manual of Style (16th Edition):

Gately, Matthew Brandon. “Multiple Real-Constant Multiplication for Computationally Efficient Implementation of Digital Transforms.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed September 20, 2020. http://hdl.handle.net/11244/318631.

MLA Handbook (7th Edition):

Gately, Matthew Brandon. “Multiple Real-Constant Multiplication for Computationally Efficient Implementation of Digital Transforms.” 2012. Web. 20 Sep 2020.

Vancouver:

Gately MB. Multiple Real-Constant Multiplication for Computationally Efficient Implementation of Digital Transforms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11244/318631.

Council of Science Editors:

Gately MB. Multiple Real-Constant Multiplication for Computationally Efficient Implementation of Digital Transforms. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318631


Rutgers University

17. Ninh, Anh Tuan, 1985-. Selected topics in stochastic optimization.

Degree: PhD, Operations Research, 2015, Rutgers University

This report constitutes the Doctoral Dissertation for Anh Ninh and consists of three topics: log-concavity of compound Poisson and general compound distributions, discrete moment problems… (more)

Subjects/Keywords: Mathematical optimization; Stochastic processes

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APA (6th Edition):

Ninh, Anh Tuan, 1. (2015). Selected topics in stochastic optimization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47488/

Chicago Manual of Style (16th Edition):

Ninh, Anh Tuan, 1985-. “Selected topics in stochastic optimization.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

MLA Handbook (7th Edition):

Ninh, Anh Tuan, 1985-. “Selected topics in stochastic optimization.” 2015. Web. 20 Sep 2020.

Vancouver:

Ninh, Anh Tuan 1. Selected topics in stochastic optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

Council of Science Editors:

Ninh, Anh Tuan 1. Selected topics in stochastic optimization. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47488/


Rutgers University

18. Shah, Nikisha, 1983. Decomposition approaches for enterprise-wide optimization in process industry.

Degree: PhD, Chemical and Biochemical Engineering, 2015, Rutgers University

Enterprise-wide optimization (EWO) has gain lot of interest in recent years as the globalization trends of past few decades have significantly increased the scale and… (more)

Subjects/Keywords: Business logistics; Mathematical optimization

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APA (6th Edition):

Shah, Nikisha, 1. (2015). Decomposition approaches for enterprise-wide optimization in process industry. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47585/

Chicago Manual of Style (16th Edition):

Shah, Nikisha, 1983. “Decomposition approaches for enterprise-wide optimization in process industry.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47585/.

MLA Handbook (7th Edition):

Shah, Nikisha, 1983. “Decomposition approaches for enterprise-wide optimization in process industry.” 2015. Web. 20 Sep 2020.

Vancouver:

Shah, Nikisha 1. Decomposition approaches for enterprise-wide optimization in process industry. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47585/.

Council of Science Editors:

Shah, Nikisha 1. Decomposition approaches for enterprise-wide optimization in process industry. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47585/


Rutgers University

19. Zhuge, Jinjun. Integration of process scheduling and control.

Degree: PhD, Chemical and Biochemical Engineering, 2015, Rutgers University

The objective of this dissertation is to develop integrated models and optimization methods to solve for chemical process scheduling and control problems. A traditional approach… (more)

Subjects/Keywords: Production scheduling; Mathematical optimization

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APA (6th Edition):

Zhuge, J. (2015). Integration of process scheduling and control. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47624/

Chicago Manual of Style (16th Edition):

Zhuge, Jinjun. “Integration of process scheduling and control.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47624/.

MLA Handbook (7th Edition):

Zhuge, Jinjun. “Integration of process scheduling and control.” 2015. Web. 20 Sep 2020.

Vancouver:

Zhuge J. Integration of process scheduling and control. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47624/.

Council of Science Editors:

Zhuge J. Integration of process scheduling and control. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47624/


Rutgers University

20. Tavares, Gabriel. New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences.

Degree: PhD, Operations Research, 2008, Rutgers University

This dissertation investigates the Quadratic Unconstrained Binary Optimization (QUBO) problem, i.e. the problem of minimizing a quadratic function in binary variables. QUBO is studied at… (more)

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Tavares, G. (2008). New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051095

Chicago Manual of Style (16th Edition):

Tavares, Gabriel. “New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences.” 2008. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051095.

MLA Handbook (7th Edition):

Tavares, Gabriel. “New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences.” 2008. Web. 20 Sep 2020.

Vancouver:

Tavares G. New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2020 Sep 20]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051095.

Council of Science Editors:

Tavares G. New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051095


Rutgers University

21. Rudolf, Gábor, 1979-. New results in optimization with functional constraints:.

Degree: PhD, Operations Research, 2009, Rutgers University

We consider optimization problems featuring nonnegativity constraints on functions associated with the decision variables. The first part of the thesis is devoted to the topic… (more)

Subjects/Keywords: Mathematical optimization

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

APA (6th Edition):

Rudolf, Gábor, 1. (2009). New results in optimization with functional constraints:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051899

Chicago Manual of Style (16th Edition):

Rudolf, Gábor, 1979-. “New results in optimization with functional constraints:.” 2009. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051899.

MLA Handbook (7th Edition):

Rudolf, Gábor, 1979-. “New results in optimization with functional constraints:.” 2009. Web. 20 Sep 2020.

Vancouver:

Rudolf, Gábor 1. New results in optimization with functional constraints:. [Internet] [Doctoral dissertation]. Rutgers University; 2009. [cited 2020 Sep 20]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051899.

Council of Science Editors:

Rudolf, Gábor 1. New results in optimization with functional constraints:. [Doctoral Dissertation]. Rutgers University; 2009. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051899


Rutgers University

22. Papp, Dávid, 1982-. Optimization models for shape-constrained function estimation problems involving nonnegative polynomials and their restrictions.

Degree: PhD, Operations Research, 2011, Rutgers University

In this thesis function estimation problems are considered that involve constraints on the shape of the estimator or some other underlying function. The function to… (more)

Subjects/Keywords: Polynomial operators; Mathematical optimization

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APA (6th Edition):

Papp, Dávid, 1. (2011). Optimization models for shape-constrained function estimation problems involving nonnegative polynomials and their restrictions. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.[content_type].000061396

Chicago Manual of Style (16th Edition):

Papp, Dávid, 1982-. “Optimization models for shape-constrained function estimation problems involving nonnegative polynomials and their restrictions.” 2011. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. http://hdl.rutgers.edu/1782.1/rucore10001600001.[content_type].000061396.

MLA Handbook (7th Edition):

Papp, Dávid, 1982-. “Optimization models for shape-constrained function estimation problems involving nonnegative polynomials and their restrictions.” 2011. Web. 20 Sep 2020.

Vancouver:

Papp, Dávid 1. Optimization models for shape-constrained function estimation problems involving nonnegative polynomials and their restrictions. [Internet] [Doctoral dissertation]. Rutgers University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.[content_type].000061396.

Council of Science Editors:

Papp, Dávid 1. Optimization models for shape-constrained function estimation problems involving nonnegative polynomials and their restrictions. [Doctoral Dissertation]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.[content_type].000061396


Rutgers University

23. Myndyuk, Olga, 1979-. Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution.

Degree: PhD, Operations Research, 2016, Rutgers University

Several probabilistic constrained problems (single commodity stochastic network design problem and water reservoir problem) are formulated and solved by use of different numerical methods. The… (more)

Subjects/Keywords: Stochastic processes; Mathematical optimization

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APA (6th Edition):

Myndyuk, Olga, 1. (2016). Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50102/

Chicago Manual of Style (16th Edition):

Myndyuk, Olga, 1979-. “Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution.” 2016. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/50102/.

MLA Handbook (7th Edition):

Myndyuk, Olga, 1979-. “Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution.” 2016. Web. 20 Sep 2020.

Vancouver:

Myndyuk, Olga 1. Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50102/.

Council of Science Editors:

Myndyuk, Olga 1. Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50102/


Rutgers University

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

Degree: PhD, Operations Research, 2016, Rutgers University

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

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APA (6th 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 (16th Edition):

Yao, Wang, 1985-. “Approximate versions of the alternating direction method of multipliers.” 2016. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/51517/.

MLA Handbook (7th Edition):

Yao, Wang, 1985-. “Approximate versions of the alternating direction method of multipliers.” 2016. Web. 20 Sep 2020.

Vancouver:

Yao, Wang 1. Approximate versions of the alternating direction method of multipliers. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Sep 20]. 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/


Rutgers University

25. Wu, Kaicheng, 1991-. Stochastic alternating optimization methods for solving large-scale machine learning problems.

Degree: PhD, Management, 2018, Rutgers University

In this dissertation, we propose two stochastic alternating optimization methods for solving structured regularization problems, which have been widely used in machine learning and data… (more)

Subjects/Keywords: Machine learning; Mathematical optimization

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

APA (6th Edition):

Wu, Kaicheng, 1. (2018). Stochastic alternating optimization methods for solving large-scale machine learning problems. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57425/

Chicago Manual of Style (16th Edition):

Wu, Kaicheng, 1991-. “Stochastic alternating optimization methods for solving large-scale machine learning problems.” 2018. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/57425/.

MLA Handbook (7th Edition):

Wu, Kaicheng, 1991-. “Stochastic alternating optimization methods for solving large-scale machine learning problems.” 2018. Web. 20 Sep 2020.

Vancouver:

Wu, Kaicheng 1. Stochastic alternating optimization methods for solving large-scale machine learning problems. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57425/.

Council of Science Editors:

Wu, Kaicheng 1. Stochastic alternating optimization methods for solving large-scale machine learning problems. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57425/


Rutgers University

26. Pham, Minh. Alternating linearization for structured regularization problems.

Degree: Operations Research, 2014, Rutgers University

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Pham, M. (2014). Alternating linearization for structured regularization problems. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/44212/

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

Chicago Manual of Style (16th Edition):

Pham, Minh. “Alternating linearization for structured regularization problems.” 2014. Thesis, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/44212/.

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

MLA Handbook (7th Edition):

Pham, Minh. “Alternating linearization for structured regularization problems.” 2014. Web. 20 Sep 2020.

Vancouver:

Pham M. Alternating linearization for structured regularization problems. [Internet] [Thesis]. Rutgers University; 2014. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44212/.

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

Council of Science Editors:

Pham M. Alternating linearization for structured regularization problems. [Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44212/

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


Rutgers University

27. Chatwattanasiri, Nida, 1983-. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios.

Degree: PhD, Industrial and Systems Engineering, 2015, Rutgers University

A new modeling approach has been developed to optimally design a degradable system structure and maintenance plans for applications exposed to distinct stresses under different… (more)

Subjects/Keywords: Reliability; Mathematical optimization; Stochastic processes

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APA (6th Edition):

Chatwattanasiri, Nida, 1. (2015). Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47335/

Chicago Manual of Style (16th Edition):

Chatwattanasiri, Nida, 1983-. “Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47335/.

MLA Handbook (7th Edition):

Chatwattanasiri, Nida, 1983-. “Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios.” 2015. Web. 20 Sep 2020.

Vancouver:

Chatwattanasiri, Nida 1. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47335/.

Council of Science Editors:

Chatwattanasiri, Nida 1. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47335/

28. Bagirov, Adil. The cutting angle method and its applications.

Degree: 2001, Federation University Australia

"The main objective of this thesis is to develop and study new techniques for solving global optimization problems and to apply them to solving data classification problems."

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Bagirov, A. (2001). The cutting angle method and its applications. (Thesis). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165015 ; https://library.federation.edu.au/record=b1208238

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

Chicago Manual of Style (16th Edition):

Bagirov, Adil. “The cutting angle method and its applications.” 2001. Thesis, Federation University Australia. Accessed September 20, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165015 ; https://library.federation.edu.au/record=b1208238.

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

MLA Handbook (7th Edition):

Bagirov, Adil. “The cutting angle method and its applications.” 2001. Web. 20 Sep 2020.

Vancouver:

Bagirov A. The cutting angle method and its applications. [Internet] [Thesis]. Federation University Australia; 2001. [cited 2020 Sep 20]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165015 ; https://library.federation.edu.au/record=b1208238.

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

Council of Science Editors:

Bagirov A. The cutting angle method and its applications. [Thesis]. Federation University Australia; 2001. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165015 ; https://library.federation.edu.au/record=b1208238

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

29. Andramonov, Mikhail. Global minimization of some classes of generalized convex functions.

Degree: PhD, 2001, Federation University Australia

"A number of methods of global optimization are proposed and their convergence is proved"

Doctor of Philosophy

Subjects/Keywords: Mathematical optimization

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

APA (6th Edition):

Andramonov, M. (2001). Global minimization of some classes of generalized convex functions. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/164850 ; https://library.federation.edu.au/record=b1205531

Chicago Manual of Style (16th Edition):

Andramonov, Mikhail. “Global minimization of some classes of generalized convex functions.” 2001. Doctoral Dissertation, Federation University Australia. Accessed September 20, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/164850 ; https://library.federation.edu.au/record=b1205531.

MLA Handbook (7th Edition):

Andramonov, Mikhail. “Global minimization of some classes of generalized convex functions.” 2001. Web. 20 Sep 2020.

Vancouver:

Andramonov M. Global minimization of some classes of generalized convex functions. [Internet] [Doctoral dissertation]. Federation University Australia; 2001. [cited 2020 Sep 20]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/164850 ; https://library.federation.edu.au/record=b1205531.

Council of Science Editors:

Andramonov M. Global minimization of some classes of generalized convex functions. [Doctoral Dissertation]. Federation University Australia; 2001. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/164850 ; https://library.federation.edu.au/record=b1205531


Michigan State University

30. Kara, Halit, 1934-. Wide-sense martingale approach to linear discrete-time optimal estimation.

Degree: PhD, Department of Electrical Engineering and Systems Science, 1971, Michigan State University

Subjects/Keywords: Mathematical optimization

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

APA (6th Edition):

Kara, Halit, 1. (1971). Wide-sense martingale approach to linear discrete-time optimal estimation. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:18375

Chicago Manual of Style (16th Edition):

Kara, Halit, 1934-. “Wide-sense martingale approach to linear discrete-time optimal estimation.” 1971. Doctoral Dissertation, Michigan State University. Accessed September 20, 2020. http://etd.lib.msu.edu/islandora/object/etd:18375.

MLA Handbook (7th Edition):

Kara, Halit, 1934-. “Wide-sense martingale approach to linear discrete-time optimal estimation.” 1971. Web. 20 Sep 2020.

Vancouver:

Kara, Halit 1. Wide-sense martingale approach to linear discrete-time optimal estimation. [Internet] [Doctoral dissertation]. Michigan State University; 1971. [cited 2020 Sep 20]. Available from: http://etd.lib.msu.edu/islandora/object/etd:18375.

Council of Science Editors:

Kara, Halit 1. Wide-sense martingale approach to linear discrete-time optimal estimation. [Doctoral Dissertation]. Michigan State University; 1971. Available from: http://etd.lib.msu.edu/islandora/object/etd:18375

[1] [2] [3] [4] [5] … [41]

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