Mathematical Optimization Theory and Operations Research

Mathematical Optimization Theory and Operations Research
Author: Yury Kochetov
Publisher: Springer
Total Pages: 438
Release: 2020-09-14
Genre: Computers
ISBN: 9783030586560

This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held online. The 25 full papers and 8 short papers presented in this volume were carefully reviewed and selected from a total of 102 submissions. The papers in the volume are organised according to the following topical headings: ​combinatorial optimization; mathematical programming; global optimization; game theory and mathematical economics; heuristics and metaheuristics; machine learning and data analysis.

Mathematical Optimization Theory and Operations Research

Mathematical Optimization Theory and Operations Research
Author: Michael Khachay
Publisher: Springer
Total Pages: 742
Release: 2019-06-12
Genre: Computers
ISBN: 3030226298

This book constitutes the proceedings of the 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, held in Ekaterinburg, Russia, in July 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 170 submissions. MOTOR 2019 is a successor of the well-known International and All-Russian conference series, which were organized in Ural, Siberia, and the Far East for a long time. The selected papers are organized in the following topical sections: mathematical programming; bi-level optimization; integer programming; combinatorial optimization; optimal control and approximation; data mining and computational geometry; games and mathematical economics.

Practical Mathematical Optimization

Practical Mathematical Optimization
Author: Jan Snyman
Publisher: Springer Science & Business Media
Total Pages: 271
Release: 2005-12-15
Genre: Mathematics
ISBN: 0387243496

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

Optimization Theory, Decision Making, and Operations Research Applications

Optimization Theory, Decision Making, and Operations Research Applications
Author: Athanasios Migdalas
Publisher: Springer Science & Business Media
Total Pages: 364
Release: 2012-11-28
Genre: Mathematics
ISBN: 1461451345

These proceedings consist of 30 selected research papers based on results presented at the 10th Balkan Conference & 1st International Symposium on Operational Research (BALCOR 2011) held in Thessaloniki, Greece, September 22-24, 2011. BALCOR is an established biennial conference attended by a large number of faculty, researchers and students from the Balkan countries but also from other European and Mediterranean countries as well. Over the past decade, the BALCOR conference has facilitated the exchange of scientific and technical information on the subject of Operations Research and related fields such as Mathematical Programming, Game Theory, Multiple Criteria Decision Analysis, Information Systems, Data Mining and more, in order to promote international scientific cooperation. The carefully selected and refereed papers present important recent developments and modern applications and will serve as excellent reference for students, researchers and practitioners in these disciplines. ​

Practical Mathematical Optimization

Practical Mathematical Optimization
Author: Jan A Snyman
Publisher: Springer
Total Pages: 388
Release: 2018-05-02
Genre: Mathematics
ISBN: 3319775863

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

Mathematical Optimization Theory and Operations Research

Mathematical Optimization Theory and Operations Research
Author: Michael Khachay
Publisher: Springer Nature
Total Pages: 459
Release: 2023-06-25
Genre: Mathematics
ISBN: 3031353056

This book constitutes the refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and 1 short paper included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Mathematical programming and applications; discrete and combinatorial optimization; stochastic optimization; scheduling; game theory; and optimal control and mathematical economics. The book also contains one invited talk in full paper length.

Optimization in Operations Research

Optimization in Operations Research
Author: Ronald L. Rardin
Publisher: Prentice Hall
Total Pages: 936
Release: 2014-01-01
Genre: Mathematical optimization
ISBN: 9780132858113

For first courses in operations research, operations management Optimization in Operations Research, Second Edition covers a broad range of optimization techniques, including linear programming, network flows, integer/combinational optimization, and nonlinear programming. This dynamic text emphasizes the importance of modeling and problem formulation andhow to apply algorithms to real-world problems to arrive at optimal solutions. Use a program that presents a better teaching and learning experience-for you and your students. Prepare students for real-world problems: Students learn how to apply algorithms to problems that get them ready for their field. Use strong pedagogy tools to teach: Key concepts are easy to follow with the text's clear and continually reinforced learning path. Enjoy the text's flexibility: The text features varying amounts of coverage, so that instructors can choose how in-depth they want to go into different topics.

Entropy Optimization and Mathematical Programming

Entropy Optimization and Mathematical Programming
Author: Shu-Cherng Fang
Publisher: Springer Science & Business Media
Total Pages: 350
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461561310

Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader.

Optimization Theory for Large Systems

Optimization Theory for Large Systems
Author: Leon S. Lasdon
Publisher: Courier Corporation
Total Pages: 566
Release: 2002-01-01
Genre: Mathematics
ISBN: 9780486419992

Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.

Mathematics of Optimization: How to do Things Faster

Mathematics of Optimization: How to do Things Faster
Author: Steven J. Miller
Publisher: American Mathematical Soc.
Total Pages: 353
Release: 2017-12-20
Genre: Business & Economics
ISBN: 1470441144

Optimization Theory is an active area of research with numerous applications; many of the books are designed for engineering classes, and thus have an emphasis on problems from such fields. Covering much of the same material, there is less emphasis on coding and detailed applications as the intended audience is more mathematical. There are still several important problems discussed (especially scheduling problems), but there is more emphasis on theory and less on the nuts and bolts of coding. A constant theme of the text is the “why” and the “how” in the subject. Why are we able to do a calculation efficiently? How should we look at a problem? Extensive effort is made to motivate the mathematics and isolate how one can apply ideas/perspectives to a variety of problems. As many of the key algorithms in the subject require too much time or detail to analyze in a first course (such as the run-time of the Simplex Algorithm), there are numerous comparisons to simpler algorithms which students have either seen or can quickly learn (such as the Euclidean algorithm) to motivate the type of results on run-time savings.