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Kategorie szczegółowe BISAC

Harvey J. Greenberg: A Legacy Bridging Operations Research and Computing

ISBN-13: 9783030564315 / Angielski / Miękka / 2021 / 182 str.

Holder, Allen
Harvey J. Greenberg: A Legacy Bridging Operations Research and Computing Holder, Allen 9783030564315 Springer International Publishing - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Harvey J. Greenberg: A Legacy Bridging Operations Research and Computing

ISBN-13: 9783030564315 / Angielski / Miękka / 2021 / 182 str.

Holder, Allen
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This volume chronicles the high impact research career of Harvey Greenberg (1940-2018), and in particular, it reviews historical contributions, presents current research projects, and suggests future pursuits. This volume addresses several of his most distinguished hallmarks, including model analysis, model generation, infeasibility diagnosis, sensitivity analysis, parametric programming, energy modeling, and computational biology. There is also an overview chapter on the emergence of computational OR, and in particular, how literature venues have changed the course of OR research. He developed Computer-Assisted Analysis in the 1970s and 80s, creating an artificially intelligent environment for analyzing mathematical programming models and their results. This earned him the first INFORMS Computing Society (ICS) Prize for "research excellence in the interfaces between operations research and computer science" in 1986, notably for his software system, ANALYZE. In 1993, he wrote the first book in the Springer OR/CS Series entitled A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions: A User’s Guide for ANALYZE. He applied OR methods to CS problems, ranging from using queuing theory for optimal list structure design to using integer programming for bioinformatic database search. He also applied CS to OR problems, ranging from super-sparse information structures to the use of compiler design in ANALYZE. This book can serve as a guide to new researchers, and will report the historical trajectory of OR as it solves current problems and forecasts future applications through the accomplishments of Harvey Greenberg.

Kategorie:
Nauka, Ekonomia i biznes
Kategorie BISAC:
Business & Economics > Operations Research
Computers > Computer Science
Business & Economics > Management Science
Wydawca:
Springer International Publishing
Seria wydawnicza:
International Series in Operations Research & Management Sci
Język:
Angielski
ISBN-13:
9783030564315
Rok wydania:
2021
Ilość stron:
182
Waga:
0.26 kg
Wymiary:
23.39 x 15.6 x 0.99
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Glosariusz/słownik

Chapter 1: A Commemorative Review of Harvey Greenberg’s Career.- Chapter 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.- Chapter 3: Software for an Intelligent Mathematical Programming System.- Chapter 4: Harvey Greenberg: Analyzing Infeasible Mathematical Programs.- Chapter 5: Development of Publications and Community at the Interface Between Operations Research and Computing.- Chapter 6 Parametric Stochastic Programming with One Chance Constraint: Gaining Insights from Response Space Analysis.- Chapter 7 An Analysis of Multiple Contaminant Warning System Design Objectives for Sensor Placement Optimization in Water Distribution Networks.- Chapter 8: A Simplex Approach to Solving Robust Metabolic Models with Low-Dimensional Uncertainty.

Allen Holder received his B.S. and M.S. (1990 and 1993) from the University of Southern Mississippi in mathematics and his Ph.D. (1998) from the University of Colorado at Denver in applied mathematics. He taught at Trinity University before moving to the Rose-Hulman Institute of Technology in 2008. He studies mathematical programming and its applications, mostly in healthcare, medicine, and biology.  Professor Holder has served on the editorial staffs of the INFORMS Journal on Computing, IIE Transactions on Healthcare Systems Engineering, and The Mathematical Programming Glossary.  He has won the INFORMS William Pierskalla Award in Health Applications (2000), Rose-Hulman's Outstanding Scholar Award (2015), the Harvey J. Greenberg Award for Service (2019), the INFORMS Volunteer Service Award (2017), and the INFORMS Moving Spirit Award (2003).  He is an active member of INFORMS and enjoys its Computing and Health Applications Societies.

This volume chronicles the high impact research career of Harvey Greenberg (1940-2018), and in particular, it reviews historical contributions, presents current research projects, and suggests future pursuits. This volume addresses several of his most distinguished hallmarks, including model analysis, model generation, infeasibility diagnosis, sensitivity analysis, parametric programming, energy modeling, and computational biology. There is also an overview chapter on the emergence of computational OR, and in particular, how literature venues have changed the course of OR research. 

He developed Computer-Assisted Analysis in the 1970s and 80s, creating an artificially intelligent environment for analyzing mathematical programming models and their results. This earned him the first INFORMS Computing Society (ICS) Prize for "research excellence in the interfaces between operations research and computer science" in 1986, notably for his software system, ANALYZE. 

In 1993, he wrote the first book in the Springer OR/CS Series entitled A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions: A User’s Guide for ANALYZE. He applied OR methods to CS problems, ranging from using queuing theory for optimal list structure design to using integer programming for bioinformatic database search. He also applied CS to OR problems, ranging from super-sparse information structures to the use of compiler design in ANALYZE. This book can serve as a guide to new researchers, and will report the historical trajectory of OR as it solves current problems and forecasts future applications through the accomplishments of Harvey Greenberg.



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