introduction to applied optimization

Download Book Introduction To Applied Optimization in PDF format. You can Read Online Introduction To Applied Optimization here in PDF, EPUB, Mobi or Docx formats.

Introduction To Applied Optimization

Author : Urmila Diwekar
ISBN : 9781475737455
Genre : Mathematics
File Size : 63. 63 MB
Format : PDF, Docs
Download : 388
Read : 470

Download Now


This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Applied Optimization With Matlab Programming

Author : P. Venkataraman
ISBN : 9780470084885
Genre : Technology & Engineering
File Size : 63. 29 MB
Format : PDF
Download : 473
Read : 1050

Download Now


Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on the standard mathematical engine, MATLAB. As with the first edition, the author uses MATLAB in examples for running computer-based optimization problems. New coverage in this edition includes design optimization techniques such as Multidisciplinary Optimization, Explicit Solution for Boundary Value Problems, and Particle Swarm Optimization.

Applied Optimization

Author : Ross Baldick
ISBN : 9781107394087
Genre : Technology & Engineering
File Size : 46. 3 MB
Format : PDF, ePub, Docs
Download : 660
Read : 587

Download Now


The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems and develops techniques for solving them. A number of engineering case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form. Five general problem classes are considered: linear systems of equations, non-linear systems of equations, unconstrained optimization, equality-constrained optimization and inequality-constrained optimization. The book contains many worked examples and homework exercises and is suitable for students of engineering or operations research taking courses in optimization. Supplementary material including solutions, lecture slides and appendices are available online at www.cambridge.org/9780521855648.

Introduction To Optimization

Author : Pablo Pedregal
ISBN : 9780387216805
Genre : Mathematics
File Size : 69. 74 MB
Format : PDF, Docs
Download : 637
Read : 717

Download Now


This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimal control, thus giving students an overall view of all aspects of optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed.

Practical Mathematical Optimization

Author : Jan Snyman
ISBN : 0387243488
Genre : Business & Economics
File Size : 65. 4 MB
Format : PDF, ePub, Mobi
Download : 676
Read : 862

Download Now


It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, com puter science and operations research departments. Hopefully this book will also be useful to practising professionals in the workplace. The contents of the book represent the fundamental optimization mate rial collected and used by the author, over a period of more than twenty years, in teaching Practical Mathematical Optimization to undergradu ate as well as graduate engineering and science students at the University of Pretoria. The principal motivation for writing this work has not been the teaching of mathematics per se, but to equip students with the nec essary fundamental optimization theory and algorithms, so as to enable them to solve practical problems in their own particular principal fields of interest, be it physics, chemistry, engineering design or business eco nomics. The particular approach adopted here follows from the author's own personal experiences in doing research in solid-state physics and in mechanical engineering design, where he was constantly confronted by problems that can most easily and directly be solved via the judicious use of mathematical optimization techniques. This book is, however, not a collection of case studies restricted to the above-mentioned specialized research areas, but is intended to convey the basic optimization princi ples and algorithms to a general audience in such a way that, hopefully, the application to their own practical areas of interest will be relatively simple and straightforward.

Mathematical Programming

Author : Melvyn Jeter
ISBN : 0824774787
Genre : Business & Economics
File Size : 73. 59 MB
Format : PDF, Mobi
Download : 562
Read : 968

Download Now



Introduction To Global Optimization

Author : R. Horst
ISBN : 0792367561
Genre : Computers
File Size : 52. 28 MB
Format : PDF, Mobi
Download : 539
Read : 1046

Download Now


Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Global optimization is concerned with the computation and characterization of global optima of nonlinear functions. Global optimization problems are widespread in the mathematical modeling of real world systems for a very broad range of applications. During the past three decades many new theoretical, algorithmic, and computational contributions have helped to solve globally multi-extreme problems arising from important practical applications. Introduction to Global Optimization is the first comprehensive textbook that covers the fundamentals in global optimization. The second edition includes algorithms, applications, and complexity results for quadratic programming, concave minimization, DC and Lipshitz problems, decomposition algorithms for nonconvex optimization, and nonlinear network flow problems. Each chapter contains illustrative examples and ends with carefully selected exercises, which are designed to help the student to get a grasp of the material and enhance their knowledge of global optimization methods. Audience: This textbook is addressed not only to students of mathematical programming, but to all scientists in various disciplines who need global optimization methods to model and solve problems.

Introduction To Optimization Techniques

Author : Masanao Aoki
ISBN : UOM:39015004515766
Genre : Mathematics
File Size : 81. 14 MB
Format : PDF, ePub, Mobi
Download : 775
Read : 768

Download Now


Some mathematical preliminaries; Criterion function representation; Location problems; Minimization of unconstrained functions; Minimization of constrained functions; Duality in optimization problems; Comparisons of optimization methods and test problems.

Optimization Techniques

Author : L. R. Foulds
ISBN : 9781461394587
Genre : Science
File Size : 37. 35 MB
Format : PDF, Mobi
Download : 904
Read : 605

Download Now


Optimization is the process by which the optimal solution to a problem, or optimum, is produced. The word optimum has come from the Latin word optimus, meaning best. And since the beginning of his existence Man has strived for that which is best. There has been a host of contributions, from Archimedes to the present day, scattered across many disciplines. Many of the earlier ideas, although interesting from a theoretical point of view, were originally of little practical use, as they involved a daunting amount of com putational effort. Now modern computers perform calculations, whose time was once estimated in man-years, in the figurative blink of an eye. Thus it has been worthwhile to resurrect many of these earlier methods. The advent of the computer has helped bring about the unification of optimization theory into a rapidly growing branch of applied mathematics. The major objective of this book is to provide an introduction to the main optimization tech niques which are at present in use. It has been written for final year undergrad uates or first year graduates studying mathematics, engineering, business, or the physical or social sciences. The book does not assume much mathemati cal knowledge. It has an appendix containing the necessary linear algebra and basic calculus, making it virtually self-contained. This text evolved out of the experience of teaching the material to finishing undergraduates and beginning graduates.

Introduction To Derivative Free Optimization

Author : Andrew R. Conn
ISBN : 9780898716689
Genre : Mathematics
File Size : 70. 58 MB
Format : PDF, ePub, Mobi
Download : 677
Read : 1308

Download Now


The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-free methods and how they are designed to solve optimization problems. It is designed to be readily accessible to both researchers and those with a modest background in computational mathematics.

Top Download:

Best Books