Nonlinear And Global Optimization

Introduction to Nonlinear and Global Optimization (Repost)  eBooks & eLearning

Posted by AvaxGenius at May 31, 2020
Introduction to Nonlinear and Global Optimization (Repost)

Introduction to Nonlinear and Global Optimization by Eligius M.T. Hendrix
English | PDF | 2010 | 218 Pages | ISBN : 0387886699 | 3.34 MB

This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions.

Introduction to Nonlinear and Global Optimization  eBooks & eLearning

Posted by step778 at March 7, 2019
Introduction to Nonlinear and Global Optimization

Eligius M.T. Hendrix, Boglárka G.-Tóth, "Introduction to Nonlinear and Global Optimization"
2010 | pages: 214 | ISBN: 0387886699 | PDF | 2,1 mb
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming

Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications by Mohit Tawarmalani , Nikolaos V. Sahinidis
English | PDF | 2002 | 492 Pages | ISBN : 1402010311 | 32.8 MB

Interest in constrained optimization originated with the simple linear pro­ gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models.
Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications

Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications by Jonas Mockus
English | PDF | 1997 | 394 Pages | ISBN : 0792343271 | 23.92 MB

Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy.
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, an

Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications By Mohit Tawarmalani, Nikolaos V. Sahinidis (auth.)
2002 | 478 Pages | ISBN: 1441952357 | PDF | 15 MB

Nonlinear Analysis and Global Optimization  eBooks & eLearning

Posted by hill0 at Feb. 27, 2021
Nonlinear Analysis and Global Optimization

Nonlinear Analysis and Global Optimization
by Themistocles M. Rassias

English | 2021 | ISBN: 3030617319 | 495 Pages | PDF EPUB | 39 MB

Global Optimization: Scientific and Engineering Case Studies (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 4, 2021
Global Optimization: Scientific and Engineering Case Studies (Repost)

Global Optimization: Scientific and Engineering Case Studies by János D. Pintér
English | PDF | 2006 | 559 Pages | ISBN : 0387304088 | 27.8 MB

Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of Global Optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.

Advances in Applied Mathematics and Global Optimization: In Honor of Gilbert Strang  eBooks & eLearning

Posted by arundhati at Feb. 24, 2021
Advances in Applied Mathematics and Global Optimization: In Honor of Gilbert Strang

David Y. Gao, "Advances in Applied Mathematics and Global Optimization: In Honor of Gilbert Strang "
English | ISBN: 0387757139 | 2009 | 548 pages | PDF | 11 MB

Introduction to Applied Optimization, Third Edition  eBooks & eLearning

Posted by AvaxGenius at Nov. 1, 2020
Introduction to Applied Optimization, Third Edition

Introduction to Applied Optimization, Third Edition by Urmila M. Diwekar
English | EPUB | 2020 | 379 Pages | ISBN : 3030554031 | 20.8 MB

Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization.

Simplicial Global Optimization (Repost)  eBooks & eLearning

Posted by AvaxGenius at April 22, 2022
Simplicial Global Optimization (Repost)

Simplicial Global Optimization By Remigijus Paulavičius
English | EPUB | 2014 | 146 Pages | ISBN : 1461490928 | 2.8 MB

Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible region by simplices. This book looks into the advantages of simplicial partitioning in global optimization through applications where the search space may be significantly reduced while taking into account symmetries of the objective function by setting linear inequality constraints that are managed by initial partitioning.