Format:
1 Online-Ressource (175 Seiten)
ISBN:
9783030564292
Series Statement:
International Series in Operations Research and Management Science Ser. v.295
Note:
Description based on publisher supplied metadata and other sources
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Intro -- Contents -- 1 A Commemorative Review of Harvey Greenberg's Career -- 1.1 Research Prowess -- 1.2 Pedagogical Imprint -- 1.3 Governmental Success -- 1.4 Service -- 1.5 A Constant Challenge to Norms -- References -- 2 How the Work That Harvey and I Did at the Federal Energy Administration (Later Department of Energy) Shaped Our Research Careers and Led to Our Decades Long Collaboration and Friendship -- 2.1 Background -- 2.2 The Energy Crisis Years -- 2.3 The Work the PIES Team Was Doing -- 2.4 Modeling Regulated Market Equilibria in PIES -- 2.4.1 Electricity Pricing -- 2.4.2 Pricing Crude Oil -- 2.4.3 Natural Gas Regulation -- 2.5 Replacing PIES with IFFS -- 2.6 What We Learned About the Regulatory Polices -- 2.7 Modeling Regulations Since the Representations in PIES, IFFS, and NEMS -- 2.8 Model Representation and Analysis -- 2.9 Diagnosing Infeasible Linear Programs -- 2.10 Reflections on Our Experiences in Government -- 2.11 Harvey's Legacy and Contribution to My Career -- References -- 3 Software for an Intelligent Mathematical Programming System -- 3.1 Introduction -- 3.1.1 The Drive for an Intelligent Mathematical Programming System -- 3.1.2 Technology Context -- 3.1.3 Industrial Sponsorship -- 3.2 Anatomy and Views of a Model -- 3.3 MODLER: Modeling by Object-Driven Linear Elemental Relations -- 3.3.1 Capturing Structure in Instance Representations -- 3.4 RANDMOD: Controlled Randomization of Linear Programs -- 3.5 Analyze: A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions -- 3.5.1 Views and Analyses -- 3.5.2 Algorithmic Analysis -- 3.5.3 The Rule Base -- 3.6 WRIP: A Workbench for Research in (Linear) Programming -- 3.7 Conclusion -- References -- 4 Harvey Greenberg: Analyzing Infeasible Mathematical Programs -- 4.1 Introduction -- 4.1.1 Defining Infeasibility
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4.1.2 Isolating and Diagnosing Infeasibility -- 4.2 Reasoning About Bounds -- 4.2.1 Phase 1 Dual Prices and Aggregate Constraints -- 4.2.2 Successive Bound Reduction -- 4.2.3 Block-and-Link Structures -- 4.3 Path and Cycle Tracing -- 4.4 Interior Point Solutions and Infeasibility -- 4.5 Analysis of Infeasible Networks -- 4.6 Comparison of Infeasibility Analysis Techniques -- 4.7 Infeasibility Analysis in ANALYZE -- 4.8 Maximum Feasible Subsets of Constraints -- 4.9 Minimum Feasible Partitions -- 4.10 Finding the Closest Feasible Solution -- 4.11 Analyzing Infeasible Mixed-Integer Linear Programs -- 4.12 Conclusions -- References -- 5 Development of Publications and Community at the Interface Between Operations Research and Computing -- 5.1 Introduction -- 5.2 The Journal on Computing -- 5.2.1 Origins and Leadership -- 5.2.2 JOC Areas and Their Editors -- 5.3 Influence in Professional Societies -- 5.3.1 The INFORMS Computing Society -- 5.3.2 TutORials -- 5.4 Summary and Acknowledgments -- References -- 6 Parametric Stochastic Programming with One Chance Constraint: Gaining Insights from Response Space Analysis -- 6.1 Introduction and Background -- 6.2 Response Space Analysis -- 6.3 Multiplier Search -- 6.3.1 Search for One Optimal Multiplier -- 6.3.2 Parametric Search Algorithm -- 6.4 Pre-processing -- 6.5 Gap Closing -- 6.6 Some Pitfalls to Consider -- 6.6.1 Tolerance Relations -- 6.6.2 Measuring Probability -- 6.6.3 When It Is Infeasible to Select All Scenarios -- 6.6.4 Low Probabilities -- 6.7 Summary and Conclusions -- References -- 7 An Analysis of Multiple Contaminant Warning System Design Objectives for Sensor Placement Optimization in Water Distribution Networks -- 7.1 Introduction -- 7.2 Background and Overview -- 7.3 Problem, Objectives, and Mixed-Integer Formulation -- 7.4 Experimental Results and Analysis
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7.4.1 The Test Networks and Contamination Scenarios -- 7.4.2 Characteristics of Individual Design Objectives -- 7.4.3 The Impact of Optimization on Competing Objectives -- 7.5 Compromise Solutions -- 7.6 Conclusions -- References -- 8 A Simplex Approach to Solving Robust Metabolic Models with Low-Dimensional Uncertainty -- 8.1 Introduction -- 8.2 Motivation and Problem Statement -- 8.3 Algorithmic Development -- 8.4 Illustrative Examples -- 8.4.1 Example 1 -- 8.4.2 Example 2 -- 8.5 RAMP Studies -- 8.6 Conclusions -- References
Additional Edition:
Erscheint auch als Druck-Ausgabe Holder, Allen Harvey J. Greenberg Cham : Springer International Publishing AG,c2020 ISBN 9783030564285
Language:
English
Subjects:
Economics
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Mathematics
Keywords:
Operations Research
;
Greenberg, Harvey J. 1940-2018
;
Festschrift
;
Festschrift
URL:
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