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You searched for +publisher:"Rutgers University" +contributor:("Boros, Endre"). Showing records 1 – 25 of 25 total matches.

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Rutgers University

1. 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 (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 July 21, 2019. 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. 21 Jul 2019.

Vancouver:

Rudolf, Gábor 1. New results in optimization with functional constraints:. [Internet] [Doctoral dissertation]. Rutgers University; 2009. [cited 2019 Jul 21]. 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

2. Reddy, Anupama Rajasekhara, 1981-. Combinatorial pattern-based survival analysis with applications in biology and medicine:.

Degree: PhD, Operations Research, 2009, Rutgers University

In the current era of targeted therapies and personalized medicine, survival analysis (predicting survival time of patients) is a very important problem. Survival analysis is… (more)

Subjects/Keywords: Survival analysis (Biometry); Medical statistics

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APA (6th Edition):

Reddy, Anupama Rajasekhara, 1. (2009). Combinatorial pattern-based survival analysis with applications in biology and medicine:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891

Chicago Manual of Style (16th Edition):

Reddy, Anupama Rajasekhara, 1981-. “Combinatorial pattern-based survival analysis with applications in biology and medicine:.” 2009. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891.

MLA Handbook (7th Edition):

Reddy, Anupama Rajasekhara, 1981-. “Combinatorial pattern-based survival analysis with applications in biology and medicine:.” 2009. Web. 21 Jul 2019.

Vancouver:

Reddy, Anupama Rajasekhara 1. Combinatorial pattern-based survival analysis with applications in biology and medicine:. [Internet] [Doctoral dissertation]. Rutgers University; 2009. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891.

Council of Science Editors:

Reddy, Anupama Rajasekhara 1. Combinatorial pattern-based survival analysis with applications in biology and medicine:. [Doctoral Dissertation]. Rutgers University; 2009. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051891


Rutgers University

3. Fan, Ya-Ju, 1978-. Optimization models and algorithms for sample-preserved classification and clustering.

Degree: PhD, Industrial and Systems Engineering, 2010, Rutgers University

This dissertation presents the development of new optimization models and algorithms for sample-preserved classification and clustering. A sample-preserved method keeps some or all of the… (more)

Subjects/Keywords: Classification – Mathematical models; Algorithms

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APA (6th Edition):

Fan, Ya-Ju, 1. (2010). Optimization models and algorithms for sample-preserved classification and clustering. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053024

Chicago Manual of Style (16th Edition):

Fan, Ya-Ju, 1978-. “Optimization models and algorithms for sample-preserved classification and clustering.” 2010. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053024.

MLA Handbook (7th Edition):

Fan, Ya-Ju, 1978-. “Optimization models and algorithms for sample-preserved classification and clustering.” 2010. Web. 21 Jul 2019.

Vancouver:

Fan, Ya-Ju 1. Optimization models and algorithms for sample-preserved classification and clustering. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053024.

Council of Science Editors:

Fan, Ya-Ju 1. Optimization models and algorithms for sample-preserved classification and clustering. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053024


Rutgers University

4. Zhao, Xiang, 1979-. Multivariate autoregressive modular processes.

Degree: PhD, Operations Research, 2010, Rutgers University

This thesis defines a new class of vector-valued stochastic processes, called MARM (Multivariate Autoregressive Modular) Processes. It describes the construction of two flavors of MARM… (more)

Subjects/Keywords: Multivariate analysis; Stochastic processes

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APA (6th Edition):

Zhao, Xiang, 1. (2010). Multivariate autoregressive modular processes. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053224

Chicago Manual of Style (16th Edition):

Zhao, Xiang, 1979-. “Multivariate autoregressive modular processes.” 2010. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053224.

MLA Handbook (7th Edition):

Zhao, Xiang, 1979-. “Multivariate autoregressive modular processes.” 2010. Web. 21 Jul 2019.

Vancouver:

Zhao, Xiang 1. Multivariate autoregressive modular processes. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053224.

Council of Science Editors:

Zhao, Xiang 1. Multivariate autoregressive modular processes. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053224


Rutgers University

5. Collado, Ricardo, 1975-. Scenario decomposition of risk-averse stochastic optimization problems.

Degree: PhD, Operations Research, 2010, Rutgers University

In the last decade the theory of coherent risk measures established itself as an alternative to expected utility models of risk averse preferences in stochastic… (more)

Subjects/Keywords: Stochastic programming; Decomposition (Mathematics); Risk-return relationships

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APA (6th Edition):

Collado, Ricardo, 1. (2010). Scenario decomposition of risk-averse stochastic optimization problems. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283

Chicago Manual of Style (16th Edition):

Collado, Ricardo, 1975-. “Scenario decomposition of risk-averse stochastic optimization problems.” 2010. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283.

MLA Handbook (7th Edition):

Collado, Ricardo, 1975-. “Scenario decomposition of risk-averse stochastic optimization problems.” 2010. Web. 21 Jul 2019.

Vancouver:

Collado, Ricardo 1. Scenario decomposition of risk-averse stochastic optimization problems. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283.

Council of Science Editors:

Collado, Ricardo 1. Scenario decomposition of risk-averse stochastic optimization problems. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283

6. Duhaylongsod, Jose Benedicto B., 1987-. Vendor financing and its impact on vendor's optimal policies.

Degree: MS, Operations Research, 2013, Rutgers University

 This research aims to elucidate how vendor financing impacts the business strategy of the vendor and to shed light on the resulting optimal inventory and… (more)

Subjects/Keywords: Business – Computer programs; Finance

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APA (6th Edition):

Duhaylongsod, Jose Benedicto B., 1. (2013). Vendor financing and its impact on vendor's optimal policies. (Masters Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068844

Chicago Manual of Style (16th Edition):

Duhaylongsod, Jose Benedicto B., 1987-. “Vendor financing and its impact on vendor's optimal policies.” 2013. Masters Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068844.

MLA Handbook (7th Edition):

Duhaylongsod, Jose Benedicto B., 1987-. “Vendor financing and its impact on vendor's optimal policies.” 2013. Web. 21 Jul 2019.

Vancouver:

Duhaylongsod, Jose Benedicto B. 1. Vendor financing and its impact on vendor's optimal policies. [Internet] [Masters thesis]. Rutgers University; 2013. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068844.

Council of Science Editors:

Duhaylongsod, Jose Benedicto B. 1. Vendor financing and its impact on vendor's optimal policies. [Masters Thesis]. Rutgers University; 2013. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068844

7. Fanelli, Santino L., 1982-. Probability of a feasible flow in a stochastic transportation network.

Degree: MS, Operations Research, 2012, Rutgers University

 Electricity is one of the main sources of energy relied upon throughout the world today to power our homes, businesses, and other needs. The electric… (more)

Subjects/Keywords: Stochastic systems; Electric utilities—Management; Operations research

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APA (6th Edition):

Fanelli, Santino L., 1. (2012). Probability of a feasible flow in a stochastic transportation network. (Masters Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064088

Chicago Manual of Style (16th Edition):

Fanelli, Santino L., 1982-. “Probability of a feasible flow in a stochastic transportation network.” 2012. Masters Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064088.

MLA Handbook (7th Edition):

Fanelli, Santino L., 1982-. “Probability of a feasible flow in a stochastic transportation network.” 2012. Web. 21 Jul 2019.

Vancouver:

Fanelli, Santino L. 1. Probability of a feasible flow in a stochastic transportation network. [Internet] [Masters thesis]. Rutgers University; 2012. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064088.

Council of Science Editors:

Fanelli, Santino L. 1. Probability of a feasible flow in a stochastic transportation network. [Masters Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064088

8. Goldberg, Noam, 1974-. Optimization for sparse and accurate classifiers:.

Degree: PhD, Operations Research, 2010, Rutgers University

 Classification and supervised learning problems in general aim to choose a function that best describes a relation between a set of observed attributes and their… (more)

Subjects/Keywords: Mathematical optimization

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APA (6th Edition):

Goldberg, Noam, 1. (2010). Optimization for sparse and accurate classifiers:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052113

Chicago Manual of Style (16th Edition):

Goldberg, Noam, 1974-. “Optimization for sparse and accurate classifiers:.” 2010. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052113.

MLA Handbook (7th Edition):

Goldberg, Noam, 1974-. “Optimization for sparse and accurate classifiers:.” 2010. Web. 21 Jul 2019.

Vancouver:

Goldberg, Noam 1. Optimization for sparse and accurate classifiers:. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052113.

Council of Science Editors:

Goldberg, Noam 1. Optimization for sparse and accurate classifiers:. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052113

9. Neu, David Joseph. Feature selection with applications to text classification.

Degree: Operations Research, 2012, Rutgers University

Subjects/Keywords: Heuristic algorithms – Methodology

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APA (6th Edition):

Neu, D. J. (2012). Feature selection with applications to text classification. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065235

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):

Neu, David Joseph. “Feature selection with applications to text classification.” 2012. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065235.

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

MLA Handbook (7th Edition):

Neu, David Joseph. “Feature selection with applications to text classification.” 2012. Web. 21 Jul 2019.

Vancouver:

Neu DJ. Feature selection with applications to text classification. [Internet] [Thesis]. Rutgers University; 2012. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065235.

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

Council of Science Editors:

Neu DJ. Feature selection with applications to text classification. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065235

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

10. Oudalov, Vladimir, 1954-. Two new computer based results in game theory related to combinatorial games and Nash equilibria.

Degree: Operations Research, 2013, Rutgers University

Subjects/Keywords: Game theory – Computer programs; Combinatorial analysis

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APA (6th Edition):

Oudalov, Vladimir, 1. (2013). Two new computer based results in game theory related to combinatorial games and Nash equilibria. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067806

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):

Oudalov, Vladimir, 1954-. “Two new computer based results in game theory related to combinatorial games and Nash equilibria.” 2013. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067806.

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

MLA Handbook (7th Edition):

Oudalov, Vladimir, 1954-. “Two new computer based results in game theory related to combinatorial games and Nash equilibria.” 2013. Web. 21 Jul 2019.

Vancouver:

Oudalov, Vladimir 1. Two new computer based results in game theory related to combinatorial games and Nash equilibria. [Internet] [Thesis]. Rutgers University; 2013. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067806.

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

Council of Science Editors:

Oudalov, Vladimir 1. Two new computer based results in game theory related to combinatorial games and Nash equilibria. [Thesis]. Rutgers University; 2013. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067806

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

11. Unuvar, Merve, 1985-. New results for optimization in stochastic networks.

Degree: Operations Research, 2012, Rutgers University

Subjects/Keywords: Stochastic processes; Structural optimization

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APA (6th Edition):

Unuvar, Merve, 1. (2012). New results for optimization in stochastic networks. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067007

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):

Unuvar, Merve, 1985-. “New results for optimization in stochastic networks.” 2012. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067007.

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

MLA Handbook (7th Edition):

Unuvar, Merve, 1985-. “New results for optimization in stochastic networks.” 2012. Web. 21 Jul 2019.

Vancouver:

Unuvar, Merve 1. New results for optimization in stochastic networks. [Internet] [Thesis]. Rutgers University; 2012. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067007.

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

Council of Science Editors:

Unuvar, Merve 1. New results for optimization in stochastic networks. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067007

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

12. Bora, Selim, 1983-. Inventory and scheduling problems in supply chain management.

Degree: Operations Research, 2013, Rutgers University

Subjects/Keywords: Business logistics; Inventory control

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APA (6th Edition):

Bora, Selim, 1. (2013). Inventory and scheduling problems in supply chain management. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067628

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):

Bora, Selim, 1983-. “Inventory and scheduling problems in supply chain management.” 2013. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067628.

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

MLA Handbook (7th Edition):

Bora, Selim, 1983-. “Inventory and scheduling problems in supply chain management.” 2013. Web. 21 Jul 2019.

Vancouver:

Bora, Selim 1. Inventory and scheduling problems in supply chain management. [Internet] [Thesis]. Rutgers University; 2013. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067628.

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

Council of Science Editors:

Bora, Selim 1. Inventory and scheduling problems in supply chain management. [Thesis]. Rutgers University; 2013. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067628

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

13. Duan, Zhe, 1981-. Emergency modeling in transportation via queuing and game theory.

Degree: Industrial and Systems Engineering, 2013, Rutgers University

Subjects/Keywords: Traffic congestion – Management; Emergency management; Game theory – Computer programs; Markov processes

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APA (6th Edition):

Duan, Zhe, 1. (2013). Emergency modeling in transportation via queuing and game theory. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067761

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):

Duan, Zhe, 1981-. “Emergency modeling in transportation via queuing and game theory.” 2013. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067761.

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

MLA Handbook (7th Edition):

Duan, Zhe, 1981-. “Emergency modeling in transportation via queuing and game theory.” 2013. Web. 21 Jul 2019.

Vancouver:

Duan, Zhe 1. Emergency modeling in transportation via queuing and game theory. [Internet] [Thesis]. Rutgers University; 2013. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067761.

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

Council of Science Editors:

Duan, Zhe 1. Emergency modeling in transportation via queuing and game theory. [Thesis]. Rutgers University; 2013. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000067761

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

14. Cavus, Ozlem, 1981-. Risk-averse control of undiscounted transient Markov models.

Degree: Operations Research, 2012, Rutgers University

Subjects/Keywords: Markov processes; Risk assessment

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APA (6th Edition):

Cavus, Ozlem, 1. (2012). Risk-averse control of undiscounted transient Markov models. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066646

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):

Cavus, Ozlem, 1981-. “Risk-averse control of undiscounted transient Markov models.” 2012. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066646.

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

MLA Handbook (7th Edition):

Cavus, Ozlem, 1981-. “Risk-averse control of undiscounted transient Markov models.” 2012. Web. 21 Jul 2019.

Vancouver:

Cavus, Ozlem 1. Risk-averse control of undiscounted transient Markov models. [Internet] [Thesis]. Rutgers University; 2012. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066646.

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

Council of Science Editors:

Cavus, Ozlem 1. Risk-averse control of undiscounted transient Markov models. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066646

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


Rutgers University

15. Kaminski, Marcin Jakub. New algorithmic and hardness results for graph partitioning problems.

Degree: PhD, Operations Research, 2007, Rutgers University

 In this thesis we study algorithmic aspects of two graph partitioning problems  – graph coloring and maximum cut. This is a summary of main results… (more)

Subjects/Keywords: Graph algorithms; Graph coloring; Graph theory

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APA (6th Edition):

Kaminski, M. J. (2007). New algorithmic and hardness results for graph partitioning problems. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13472

Chicago Manual of Style (16th Edition):

Kaminski, Marcin Jakub. “New algorithmic and hardness results for graph partitioning problems.” 2007. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13472.

MLA Handbook (7th Edition):

Kaminski, Marcin Jakub. “New algorithmic and hardness results for graph partitioning problems.” 2007. Web. 21 Jul 2019.

Vancouver:

Kaminski MJ. New algorithmic and hardness results for graph partitioning problems. [Internet] [Doctoral dissertation]. Rutgers University; 2007. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13472.

Council of Science Editors:

Kaminski MJ. New algorithmic and hardness results for graph partitioning problems. [Doctoral Dissertation]. Rutgers University; 2007. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13472


Rutgers University

16. Milanic, Martin. Algorithmic developments and complexity results for finding maximum and exact independent sets in graphs.

Degree: PhD, Operations Research, 2007, Rutgers University

 We consider the maximum independent set and maximum weight independent set problems in graphs. As these problems are generally NP-hard, we study their complexity in… (more)

Subjects/Keywords: Graph algorithms; Graph theory

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APA (6th Edition):

Milanic, M. (2007). Algorithmic developments and complexity results for finding maximum and exact independent sets in graphs. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13482

Chicago Manual of Style (16th Edition):

Milanic, Martin. “Algorithmic developments and complexity results for finding maximum and exact independent sets in graphs.” 2007. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13482.

MLA Handbook (7th Edition):

Milanic, Martin. “Algorithmic developments and complexity results for finding maximum and exact independent sets in graphs.” 2007. Web. 21 Jul 2019.

Vancouver:

Milanic M. Algorithmic developments and complexity results for finding maximum and exact independent sets in graphs. [Internet] [Doctoral dissertation]. Rutgers University; 2007. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13482.

Council of Science Editors:

Milanic M. Algorithmic developments and complexity results for finding maximum and exact independent sets in graphs. [Doctoral Dissertation]. Rutgers University; 2007. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13482


Rutgers University

17. Lozina, Irina I. Composite boolean separators for data analysis with applications in computed tomography and gene expression microarray data.

Degree: PhD, Operations Research, 2007, Rutgers University

 An important topic in machine-learning / data-mining is that of analyzing binary datasets. A binary dataset consists of a subset of n-vectors (observations) with binary… (more)

Subjects/Keywords: Tomography; Data mining; Gene expression

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APA (6th Edition):

Lozina, I. I. (2007). Composite boolean separators for data analysis with applications in computed tomography and gene expression microarray data. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13481

Chicago Manual of Style (16th Edition):

Lozina, Irina I. “Composite boolean separators for data analysis with applications in computed tomography and gene expression microarray data.” 2007. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13481.

MLA Handbook (7th Edition):

Lozina, Irina I. “Composite boolean separators for data analysis with applications in computed tomography and gene expression microarray data.” 2007. Web. 21 Jul 2019.

Vancouver:

Lozina II. Composite boolean separators for data analysis with applications in computed tomography and gene expression microarray data. [Internet] [Doctoral dissertation]. Rutgers University; 2007. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13481.

Council of Science Editors:

Lozina II. Composite boolean separators for data analysis with applications in computed tomography and gene expression microarray data. [Doctoral Dissertation]. Rutgers University; 2007. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13481


Rutgers University

18. Bonates, Tiberius. Optimization in logical analysis of data.

Degree: PhD, Operations Research, 2007, Rutgers University

Logical Analysis of Data (LAD) is a machine learning/data mining methodology that combines ideas from areas such as Boolean functions, optimization and logic. In this… (more)

Subjects/Keywords: Data mining; Machine learning

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APA (6th Edition):

Bonates, T. (2007). Optimization in logical analysis of data. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15788

Chicago Manual of Style (16th Edition):

Bonates, Tiberius. “Optimization in logical analysis of data.” 2007. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15788.

MLA Handbook (7th Edition):

Bonates, Tiberius. “Optimization in logical analysis of data.” 2007. Web. 21 Jul 2019.

Vancouver:

Bonates T. Optimization in logical analysis of data. [Internet] [Doctoral dissertation]. Rutgers University; 2007. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15788.

Council of Science Editors:

Bonates T. Optimization in logical analysis of data. [Doctoral Dissertation]. Rutgers University; 2007. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15788


Rutgers University

19. Costello, Kevin, 1981-. Ranks of random matrices and graphs.

Degree: PhD, Mathematics, 2007, Rutgers University

Let Q_n be a random symmetric matrix whose entries on and above the main diagonal are independent random variables (e.g. the adjacency matrix of an… (more)

Subjects/Keywords: Random matrices; Random graphs; Graph theory

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APA (6th Edition):

Costello, Kevin, 1. (2007). Ranks of random matrices and graphs. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15810

Chicago Manual of Style (16th Edition):

Costello, Kevin, 1981-. “Ranks of random matrices and graphs.” 2007. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15810.

MLA Handbook (7th Edition):

Costello, Kevin, 1981-. “Ranks of random matrices and graphs.” 2007. Web. 21 Jul 2019.

Vancouver:

Costello, Kevin 1. Ranks of random matrices and graphs. [Internet] [Doctoral dissertation]. Rutgers University; 2007. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15810.

Council of Science Editors:

Costello, Kevin 1. Ranks of random matrices and graphs. [Doctoral Dissertation]. Rutgers University; 2007. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15810


Rutgers University

20. Iyigun, Cem. Probabilistic distance clustering.

Degree: PhD, Operations Research, 2008, Rutgers University

We present a new iterative method for probabilistic clustering of data. Given clusters, their centers, and the distances of data points from these centers, the… (more)

Subjects/Keywords: Cluster analysis

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APA (6th Edition):

Iyigun, C. (2008). Probabilistic distance clustering. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142

Chicago Manual of Style (16th Edition):

Iyigun, Cem. “Probabilistic distance clustering.” 2008. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142.

MLA Handbook (7th Edition):

Iyigun, Cem. “Probabilistic distance clustering.” 2008. Web. 21 Jul 2019.

Vancouver:

Iyigun C. Probabilistic distance clustering. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142.

Council of Science Editors:

Iyigun C. Probabilistic distance clustering. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142


Rutgers University

21. Subasi, Munevver Mine. New results in probability bounding, a convexity statement and unimodality of multivariate discrete distributions.

Degree: PhD, Operations Research, 2008, Rutgers University

This report constitutes the Doctoral Dissertation for Munevver Mine Subasi and consists of three topics: sharp bounds for the probability of the union of events… (more)

Subjects/Keywords: Distribution (Probability theory); Multivariate analysis

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APA (6th Edition):

Subasi, M. M. (2008). New results in probability bounding, a convexity statement and unimodality of multivariate discrete distributions. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17395

Chicago Manual of Style (16th Edition):

Subasi, Munevver Mine. “New results in probability bounding, a convexity statement and unimodality of multivariate discrete distributions.” 2008. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17395.

MLA Handbook (7th Edition):

Subasi, Munevver Mine. “New results in probability bounding, a convexity statement and unimodality of multivariate discrete distributions.” 2008. Web. 21 Jul 2019.

Vancouver:

Subasi MM. New results in probability bounding, a convexity statement and unimodality of multivariate discrete distributions. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17395.

Council of Science Editors:

Subasi MM. New results in probability bounding, a convexity statement and unimodality of multivariate discrete distributions. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17395


Rutgers University

22. Fedzhora, Liliya. A linear programming model for sequential testing.

Degree: PhD, Operations Research, 2008, Rutgers University

In this study, a linear programming model is formulated that finds an optimal strategy for many decision-making problems that typically arise in homeland security, banking,… (more)

Subjects/Keywords: Decision making; Data mining; Sequential analysis

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APA (6th Edition):

Fedzhora, L. (2008). A linear programming model for sequential testing. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17466

Chicago Manual of Style (16th Edition):

Fedzhora, Liliya. “A linear programming model for sequential testing.” 2008. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17466.

MLA Handbook (7th Edition):

Fedzhora, Liliya. “A linear programming model for sequential testing.” 2008. Web. 21 Jul 2019.

Vancouver:

Fedzhora L. A linear programming model for sequential testing. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17466.

Council of Science Editors:

Fedzhora L. A linear programming model for sequential testing. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17466


Rutgers University

23. Miller, Naomi Liora. Mean-risk portfolio optimization problems with risk-adjusted measures:.

Degree: PhD, Operations Research, 2008, Rutgers University

We consider the problem of optimizing a portfolio of finitely many assets whose returns are described by a joint discrete distribution. We formulate the mean-risk… (more)

Subjects/Keywords: Portfolio management – Mathematical models; Risk

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APA (6th Edition):

Miller, N. L. (2008). Mean-risk portfolio optimization problems with risk-adjusted measures:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050460

Chicago Manual of Style (16th Edition):

Miller, Naomi Liora. “Mean-risk portfolio optimization problems with risk-adjusted measures:.” 2008. Doctoral Dissertation, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050460.

MLA Handbook (7th Edition):

Miller, Naomi Liora. “Mean-risk portfolio optimization problems with risk-adjusted measures:.” 2008. Web. 21 Jul 2019.

Vancouver:

Miller NL. Mean-risk portfolio optimization problems with risk-adjusted measures:. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050460.

Council of Science Editors:

Miller NL. Mean-risk portfolio optimization problems with risk-adjusted measures:. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050460


Rutgers University

24. Chou, Chun-An. Mathematical optimization methods for clustering and classification with biological and medical applications.

Degree: Industrial and Systems Engineering, 2011, Rutgers University

Subjects/Keywords: Combinatorial optimization; Mathematical optimization

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APA (6th Edition):

Chou, C. (2011). Mathematical optimization methods for clustering and classification with biological and medical applications. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063358

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):

Chou, Chun-An. “Mathematical optimization methods for clustering and classification with biological and medical applications.” 2011. Thesis, Rutgers University. Accessed July 21, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063358.

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

MLA Handbook (7th Edition):

Chou, Chun-An. “Mathematical optimization methods for clustering and classification with biological and medical applications.” 2011. Web. 21 Jul 2019.

Vancouver:

Chou C. Mathematical optimization methods for clustering and classification with biological and medical applications. [Internet] [Thesis]. Rutgers University; 2011. [cited 2019 Jul 21]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063358.

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

Council of Science Editors:

Chou C. Mathematical optimization methods for clustering and classification with biological and medical applications. [Thesis]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063358

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


Rutgers University

25. 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 July 21, 2019. 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. 21 Jul 2019.

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 2019 Jul 21]. 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

.