New Trends In Mathematical Programming

Author : F. Giannessi,Sándor Komlósi,Tamás Rapcsák
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 43,5 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9781475728781

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New Trends in Mathematical Programming by F. Giannessi,Sándor Komlósi,Tamás Rapcsák Pdf

Though the volume covers 22 papers by 36 authors from 12 countries, the history in the background is bound to Hungary where, in 1973 Andras Pn§kopa started to lay the foundation of a scientific forum, which can be a regular meeting spot for experts of the world in the field. Since then, there has been a constant interest in that forum. Headed at present by Tamas Rapcsak, the Laboratory of Operations Research and Decisions Systems of the Computer and Automation Institute, Hungarian Academy of Sciences followed the tradition in every respect, namely conferences were organized almost in every second year and in the same stimulating area, in the Matra mountains. The basic fields were kept, providing opportunities for the leading personalities to give voice to their latest results. The floor has been widened recently for the young generation, ensuring this way both a real location for the past, present and future experts to meet and also the possibility for them to make the multicoloured rainbow of the fields unbroken and continuous. The volume is devoted to the memory of Steven Vajda, one of the pioneers on mathematical programming, born is Hungary. In 1992 he took part in the XIth International Conference on Mathematical Programming at Matrafiired where, with his bright personality, he greatly contributed to the good spirituality of the event. We thank Jakob Krarup for his reminiscence on the life and scientific activities of late Steven Vajda.

Author : Santosh Kumar
Publisher : CRC Press
Page : 470 pages
File Size : 46,7 Mb
Release : 2022-01-27
Category : Mathematics
ISBN : 9781000657623

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Recent Developments in Mathematical Programming by Santosh Kumar Pdf

This work is concerned with theoretical developments in the area of mathematical programming, development of new algorithms and software and their applications in science and industry. It aims to expose recent mathematical developments to a larger audience in science and industry.

Author : Santosh Kumar,Australian Society for Operations Research
Publisher : CRC Press
Page : 476 pages
File Size : 53,7 Mb
Release : 1991
Category : Mathematics
ISBN : 2881248209

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Recent Developments in Mathematical Programming by Santosh Kumar,Australian Society for Operations Research Pdf

This book is concerned with theoretical developments in the area of mathematical programming including new algorithms (analytic and heuristic) and their applications in science and industry. It exposes recent mathematical developments to a larger audience in science and industry who may not be equipped with the necessary research background and provides good references in many branches of mathematical programming. The text includes research and tutorial papers giving details of use of recent developments in applied areas, as well as review and state-of-the-art papers providing a soruce of references to researchers in this field.

Author : Ioannis Dritsas
Publisher : BoD – Books on Demand
Page : 492 pages
File Size : 40,5 Mb
Release : 2011-02-28
Category : Computers
ISBN : 9789533078298

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Stochastic Optimization by Ioannis Dritsas Pdf

Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields.

Author : V. Jeyakumar,Alexander M. Rubinov
Publisher : Springer Science & Business Media
Page : 454 pages
File Size : 51,9 Mb
Release : 2006-03-09
Category : Mathematics
ISBN : 9780387267715

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Continuous Optimization by V. Jeyakumar,Alexander M. Rubinov Pdf

Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17*^ century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications.

Author : Xinmin Yang
Publisher : Springer
Page : 167 pages
File Size : 40,7 Mb
Release : 2018-09-27
Category : Business & Economics
ISBN : 9789811319815

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Generalized Preinvexity and Second Order Duality in Multiobjective Programming by Xinmin Yang Pdf

This book introduces readers to several new generalized preinvex functions and generalized invariant monotone functions. It begins by describing the main properties of these functions and various relations. Several examples are then presented to illustrate various interesting relationships among preinvex functions and the properly inclusive relations among the generalized invariant monotonicities. In addition, several second order and higher order symmetric duality models are provided for multi-objective nonlinear programming problems. Lastly, weak and strong duality theorems under generalized convexity assumptions are provided. The book offers a well-synthesized, accessible, and usable treatment for students, researchers and practitioners in the areas of OR, optimization, applied mathematics and engineering, and all those working on a wide range of related problems, which include financial institutions, logistics, transportation, traffic management, etc.

Author : Michael Khachay,Yury Kochetov,Anton Eremeev,Oleg Khamisov,Vladimir Mazalov,Panos Pardalos
Publisher : Springer Nature
Page : 412 pages
File Size : 47,8 Mb
Release : 2023-09-20
Category : Mathematics
ISBN : 9783031432576

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Mathematical Optimization Theory and Operations Research: Recent Trends by Michael Khachay,Yury Kochetov,Anton Eremeev,Oleg Khamisov,Vladimir Mazalov,Panos Pardalos Pdf

This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.

Author : Lewis Ntaimo
Publisher : Springer Nature
Page : 518 pages
File Size : 46,6 Mb
Release : 2024-06-23
Category : Electronic
ISBN : 9783031524646

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Computational Stochastic Programming by Lewis Ntaimo Pdf

Author : Shashi K. Mishra
Publisher : Springer Science & Business Media
Page : 270 pages
File Size : 43,8 Mb
Release : 2011-05-21
Category : Business & Economics
ISBN : 9781441996404

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Topics in Nonconvex Optimization by Shashi K. Mishra Pdf

Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science. This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical and applied articles are contained in this volume which adds to the state of the art research in this field. Topics in Nonconvex Optimization is suitable for advanced graduate students and researchers in this area.

Author : Qamrul Hasan Ansari,Jen-Chih Yao
Publisher : Springer Science & Business Media
Page : 568 pages
File Size : 50,9 Mb
Release : 2011-09-21
Category : Business & Economics
ISBN : 9783642211140

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Recent Developments in Vector Optimization by Qamrul Hasan Ansari,Jen-Chih Yao Pdf

We always come cross several decision-making problems in our daily life. Such problems are always conflicting in which many different view points should be satisfied. In politics, business, industrial systems, management science, networks, etc. one often encounters such kind of problems. The most important and difficult part in such problems is the conflict between various objectives and goals. In these problems, one has to find the minimum(or maximum) for several objective functions. Such problems are called vector optimization problems (VOP),multi-criteria optimization problems or multi-objective optimization problems. This volume deals with several different topics / aspects of vector optimization theory ranging from the very beginning to the most recent one. It contains fourteen chapters written by different experts in the field of vector optimization.

Author : Igor Bykadorov,Vitaly Strusevich,Tatiana Tchemisova
Publisher : Springer Nature
Page : 606 pages
File Size : 41,5 Mb
Release : 2019-10-26
Category : Computers
ISBN : 9783030333942

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Mathematical Optimization Theory and Operations Research by Igor Bykadorov,Vitaly Strusevich,Tatiana Tchemisova Pdf

This book constitutes revised and selected papers from the 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, held in Ekaterinburg, Russia, in July 2019. The 40 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 170 submissions. The papers in the volume are organised according to the following topical headings: ​combinatorial optimization; game theory and mathematical economics; data mining and computational geometry; integer programming; mathematical programming; operations research; optimal control and applications.

Author : Alexander Shapiro,Darinka Dentcheva,Andrzej Ruszczy?ski
Publisher : SIAM
Page : 446 pages
File Size : 40,5 Mb
Release : 2009-10-08
Category : Mathematics
ISBN : 9780898716870

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Lectures on Stochastic Programming by Alexander Shapiro,Darinka Dentcheva,Andrzej Ruszczy?ski Pdf

A comprehensive treatment of optimization problems involving uncertain parameters for which stochastic models are available.

Author : Immanuel M. Bomze,Vladimir F. Demyanov,Roger Fletcher,Tamás Terlaky
Publisher : Springer
Page : 279 pages
File Size : 44,6 Mb
Release : 2010-03-17
Category : Mathematics
ISBN : 9783642113390

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Nonlinear Optimization by Immanuel M. Bomze,Vladimir F. Demyanov,Roger Fletcher,Tamás Terlaky Pdf

This volume collects the expanded notes of four series of lectures given on the occasion of the CIME course on Nonlinear Optimization held in Cetraro, Italy, from July 1 to 7, 2007. The Nonlinear Optimization problem of main concern here is the problem n of determining a vector of decision variables x ? R that minimizes (ma- n mizes) an objective function f(·): R ? R,when x is restricted to belong n to some feasible setF? R , usually described by a set of equality and - n n m equality constraints: F = {x ? R : h(x)=0,h(·): R ? R ; g(x) ? 0, n p g(·): R ? R }; of course it is intended that at least one of the functions f,h,g is nonlinear. Although the problem canbe stated in verysimpleterms, its solution may result very di?cult due to the analytical properties of the functions involved and/or to the number n,m,p of variables and constraints. On the other hand, the problem has been recognized to be of main relevance in engineering, economics, and other applied sciences, so that a great lot of e?ort has been devoted to develop methods and algorithms able to solve the problem even in its more di?cult and large instances. The lectures have been given by eminent scholars, who contributed to a great extent to the development of Nonlinear Optimization theory, methods and algorithms. Namely, they are: – Professor Immanuel M.

Author : R. N. Mohapatra,S. Yugesh,G. Kalpana,C. Kalaivani
Publisher : Springer Nature
Page : 661 pages
File Size : 43,6 Mb
Release : 2021-05-05
Category : Mathematics
ISBN : 9789813346468

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Mathematical Analysis and Computing by R. N. Mohapatra,S. Yugesh,G. Kalpana,C. Kalaivani Pdf

This book is a collection of selected papers presented at the International Conference on Mathematical Analysis and Computing (ICMAC 2019) held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India, from 23–24 December 2019. Having found its applications in game theory, economics, and operations research, mathematical analysis plays an important role in analyzing models of physical systems and provides a sound logical base for problems stated in a qualitative manner. This book aims at disseminating recent advances in areas of mathematical analysis, soft computing, approximation and optimization through original research articles and expository survey papers. This book will be of value to research scholars, professors, and industrialists working in these areas.

Author : Tamás Rapcsák
Publisher : Springer Science & Business Media
Page : 381 pages
File Size : 44,6 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461563570

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Smooth Nonlinear Optimization in Rn by Tamás Rapcsák Pdf

Experience gained during a ten-year long involvement in modelling, program ming and application in nonlinear optimization helped me to arrive at the conclusion that in the interest of having successful applications and efficient software production, knowing the structure of the problem to be solved is in dispensable. This is the reason why I have chosen the field in question as the sphere of my research. Since in applications, mainly from among the nonconvex optimization models, the differentiable ones proved to be the most efficient in modelling, especially in solving them with computers, I started to deal with the structure of smooth optimization problems. The book, which is a result of more than a decade of research, can be equally useful for researchers and stu dents showing interest in the domain, since the elementary notions necessary for understanding the book constitute a part of the university curriculum. I in tended dealing with the key questions of optimization theory, which endeavour, obviously, cannot bear all the marks of completeness. What I consider the most crucial point is the uniform, differential geometric treatment of various questions, which provides the reader with opportunities for learning the structure in the wide range, within optimization problems. I am grateful to my family for affording me tranquil, productive circumstances. I express my gratitude to F.