Computational Methods In Optimization

Computational Methods In Optimization Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Computational Methods In Optimization book. This book definitely worth reading, it is an incredibly well-written.

Computing Methods in Optimization Problems

A. V. Balakrishnan,Lucien W. Neustadt
Computing Methods in Optimization Problems Book PDF

Author : A. V. Balakrishnan,Lucien W. Neustadt
Publisher : Academic Press
Page : 338 pages
File Size : 50,9 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781483223155

Get Book

Computing Methods in Optimization Problems by A. V. Balakrishnan,Lucien W. Neustadt Pdf

Computing Methods in Optimization Problems deals with hybrid computing methods and optimization techniques using computers. One paper discusses different numerical approaches to optimizing trajectories, including the gradient method, the second variation method, and a generalized Newton-Raphson method. The paper cites the advantages and disadvantages of each method, and compares the second variation method (a direct method) with the generalized Newton-Raphson method (an indirect method). An example problem illustrates the application of the three methods in minimizing the transfer time of a low-thrust ion rocket between the orbits of Earth and Mars. Another paper discusses an iterative process for steepest-ascent optimization of orbit transfer trajectories to minimize storage requirements such as in reduced memory space utilized in guidance computers. By eliminating state variable storage and control schedule storage, the investigator can achieve reduced memory requirements. Other papers discuss dynamic programming, invariant imbedding, quasilinearization, Hilbert space, and the computational aspects of a time-optimal control problem. The collection is suitable for computer programmers, engineers, designers of industrial processes, and researchers involved in aviation or control systems technology.

Computational Methods in Optimization

E. Polak
Computational Methods in Optimization Book PDF

Author : E. Polak
Publisher : Academic Press
Page : 329 pages
File Size : 52,8 Mb
Release : 1971-05-31
Category : Business & Economics
ISBN : 008096091X

Get Book

Computational Methods in Optimization by E. Polak Pdf

Computational Methods in Optimization

Computational Optimization, Methods and Algorithms

Slawomir Koziel,Xin-She Yang
Computational Optimization Methods and Algorithms Book PDF

Author : Slawomir Koziel,Xin-She Yang
Publisher : Springer
Page : 292 pages
File Size : 47,6 Mb
Release : 2011-06-17
Category : Technology & Engineering
ISBN : 9783642208591

Get Book

Computational Optimization, Methods and Algorithms by Slawomir Koziel,Xin-She Yang Pdf

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.

Feasibility and Infeasibility in Optimization:

John W. Chinneck
Feasibility and Infeasibility in Optimization Book PDF

Author : John W. Chinneck
Publisher : Springer Science & Business Media
Page : 283 pages
File Size : 54,5 Mb
Release : 2007-10-25
Category : Mathematics
ISBN : 9780387749327

Get Book

Feasibility and Infeasibility in Optimization: by John W. Chinneck Pdf

Written by a world leader in the field and aimed at researchers in applied and engineering sciences, this brilliant text has as its main goal imparting an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. It includes algorithms on seeking feasibility and analyzing infeasibility, as well as describing new and surprising applications.

State of the Art in Global Optimization

Christodoulos A. Floudas,Panos M. Pardalos
State of the Art in Global Optimization Book PDF

Author : Christodoulos A. Floudas,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 638 pages
File Size : 44,7 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461334378

Get Book

State of the Art in Global Optimization by Christodoulos A. Floudas,Panos M. Pardalos Pdf

Optimization problems abound in most fields of science, engineering, and tech nology. In many of these problems it is necessary to compute the global optimum (or a good approximation) of a multivariable function. The variables that define the function to be optimized can be continuous and/or discrete and, in addition, many times satisfy certain constraints. Global optimization problems belong to the complexity class of NP-hard prob lems. Such problems are very difficult to solve. Traditional descent optimization algorithms based on local information are not adequate for solving these problems. In most cases of practical interest the number of local optima increases, on the aver age, exponentially with the size of the problem (number of variables). Furthermore, most of the traditional approaches fail to escape from a local optimum in order to continue the search for the global solution. Global optimization has received a lot of attention in the past ten years, due to the success of new algorithms for solving large classes of problems from diverse areas such as engineering design and control, computational chemistry and biology, structural optimization, computer science, operations research, and economics. This book contains refereed invited papers presented at the conference on "State of the Art in Global Optimization: Computational Methods and Applications" held at Princeton University, April 28-30, 1995. The conference presented current re search on global optimization and related applications in science and engineering. The papers included in this book cover a wide spectrum of approaches for solving global optimization problems and applications.

First-Order Methods in Optimization

Amir Beck
First Order Methods in Optimization Book PDF

Author : Amir Beck
Publisher : SIAM
Page : 476 pages
File Size : 48,8 Mb
Release : 2017-10-02
Category : Mathematics
ISBN : 9781611974980

Get Book

First-Order Methods in Optimization by Amir Beck Pdf

The primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale problems. First-order methods exploit information on values and gradients/subgradients (but not Hessians) of the functions composing the model under consideration. With the increase in the number of applications that can be modeled as large or even huge-scale optimization problems, there has been a revived interest in using simple methods that require low iteration cost as well as low memory storage. The author has gathered, reorganized, and synthesized (in a unified manner) many results that are currently scattered throughout the literature, many of which cannot be typically found in optimization books. First-Order Methods in Optimization offers comprehensive study of first-order methods with the theoretical foundations; provides plentiful examples and illustrations; emphasizes rates of convergence and complexity analysis of the main first-order methods used to solve large-scale problems; and covers both variables and functional decomposition methods.

Numerical Methods for Unconstrained Optimization and Nonlinear Equations

J. E. Dennis, Jr.,Robert B. Schnabel
Numerical Methods for Unconstrained Optimization and Nonlinear Equations Book PDF

Author : J. E. Dennis, Jr.,Robert B. Schnabel
Publisher : SIAM
Page : 394 pages
File Size : 52,6 Mb
Release : 1996-12-01
Category : Mathematics
ISBN : 1611971209

Get Book

Numerical Methods for Unconstrained Optimization and Nonlinear Equations by J. E. Dennis, Jr.,Robert B. Schnabel Pdf

This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The algorithms covered are all based on Newton's method or "quasi-Newton" methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems. The level of presentation is consistent throughout, with a good mix of examples and theory, making it a valuable text at both the graduate and undergraduate level. It has been praised as excellent for courses with approximately the same name as the book title and would also be useful as a supplemental text for a nonlinear programming or a numerical analysis course. Many exercises are provided to illustrate and develop the ideas in the text. A large appendix provides a mechanism for class projects and a reference for readers who want the details of the algorithms. Practitioners may use this book for self-study and reference. For complete understanding, readers should have a background in calculus and linear algebra. The book does contain background material in multivariable calculus and numerical linear algebra.

Numerical Methods and Optimization in Finance

Manfred Gilli,Dietmar Maringer,Enrico Schumann
Numerical Methods and Optimization in Finance Book PDF

Author : Manfred Gilli,Dietmar Maringer,Enrico Schumann
Publisher : Academic Press
Page : 638 pages
File Size : 43,6 Mb
Release : 2019-08-30
Category : Electronic
ISBN : 9780128150658

Get Book

Numerical Methods and Optimization in Finance by Manfred Gilli,Dietmar Maringer,Enrico Schumann Pdf

Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance. Introduces numerical methods to readers with economics backgrounds Emphasizes core simulation and optimization problems Includes MATLAB and R code for all applications, with sample code in the text and freely available for download

Numerical Optimization

Jorge Nocedal,Stephen Wright
Numerical Optimization Book PDF

Author : Jorge Nocedal,Stephen Wright
Publisher : Springer Science & Business Media
Page : 686 pages
File Size : 43,6 Mb
Release : 2006-12-11
Category : Mathematics
ISBN : 9780387400655

Get Book

Numerical Optimization by Jorge Nocedal,Stephen Wright Pdf

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

Structural Dynamic Systems Computational Techniques and Optimization

Cornelius T. Leondes
Structural Dynamic Systems Computational Techniques and Optimization Book PDF

Author : Cornelius T. Leondes
Publisher : CRC Press
Page : 338 pages
File Size : 51,5 Mb
Release : 1999-01-27
Category : Mathematics
ISBN : 9056996436

Get Book

Structural Dynamic Systems Computational Techniques and Optimization by Cornelius T. Leondes Pdf

The finite element, an approximation method for solving differential equations of mathematical physics, is a highly effective technique in the analysis and design, or synthesis, of structural dynamic systems. Starting from the system differential equations and its boundary conditions, what is referred to as a weak form of the problem (elaborated in the text) is developed in a variational sense. This variational statement is used to define elemental properties that may be written as matrices and vectors as well as to identify primary and secondary boundaries and all possible boundary conditions. Specific equilibrium problems are also solved. This book clearly reveals the effectiveness and great significance of the finite element method available and the essential role it will play in the future as further development occurs.

Computational Optimization Techniques and Applications

Muhammad Sarfraz,Samsul Ariffin Abdul Karim
Computational Optimization Techniques and Applications Book PDF

Author : Muhammad Sarfraz,Samsul Ariffin Abdul Karim
Publisher : BoD – Books on Demand
Page : 245 pages
File Size : 44,9 Mb
Release : 2021-08-25
Category : Mathematics
ISBN : 9781839687655

Get Book

Computational Optimization Techniques and Applications by Muhammad Sarfraz,Samsul Ariffin Abdul Karim Pdf

Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. It also discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty. Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.

Computational Methods for Optimizing Manufacturing Technology: Models and Techniques

Davim, J. Paulo
Computational Methods for Optimizing Manufacturing Technology Models and Techniques Book PDF

Author : Davim, J. Paulo
Publisher : IGI Global
Page : 464 pages
File Size : 50,7 Mb
Release : 2012-02-29
Category : Technology & Engineering
ISBN : 9781466601291

Get Book

Computational Methods for Optimizing Manufacturing Technology: Models and Techniques by Davim, J. Paulo Pdf

"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.

Computational Methods

G.R. Liu,V.B.C. Tan,X. Han
Computational Methods Book PDF

Author : G.R. Liu,V.B.C. Tan,X. Han
Publisher : Springer Science & Business Media
Page : 954 pages
File Size : 45,5 Mb
Release : 2007-05-26
Category : Technology & Engineering
ISBN : 9781402039539

Get Book

Computational Methods by G.R. Liu,V.B.C. Tan,X. Han Pdf

The First International Conference on Computational Methods (ICCM04), organized by the department of Mechanical Engineering, National University of Singapore, was held in Singapore, December 15-17, 2004, with great success. This conference proceedings contains some 290 papers from more than 30 countries/regions. The papers cover a broad range of topics such as meshfree particle methods, Generalized FE and Extended FE methods, inverse analysis and optimization methods. Computational methods for geomechanics, machine learning, vibration, shock, impact, health monitoring, material modeling, fracture and damage mechanics, multi-physics and multi-scales simulation, sports and environments are also included. All the papers are pre-reviewed before they are accepted for publication in this proceedings. The proceedings will provide an informative, timely and invaluable resource for engineers and scientists working in the important areas of computational methods.

Matrix, Numerical, and Optimization Methods in Science and Engineering

Kevin W. Cassel
Matrix Numerical and Optimization Methods in Science and Engineering Book PDF

Author : Kevin W. Cassel
Publisher : Cambridge University Press
Page : 727 pages
File Size : 54,7 Mb
Release : 2021-03-04
Category : Mathematics
ISBN : 9781108479097

Get Book

Matrix, Numerical, and Optimization Methods in Science and Engineering by Kevin W. Cassel Pdf

Vector and matrix algebra -- Algebraic eigenproblems and their applications -- Differential eigenproblems and their applications -- Vector and matrix calculus -- Analysis of discrete dynamical systems -- Computational linear algebra -- Numerical methods for differential equations -- Finite-difference methods for boundary-value problems -- Finite-difference methods for initial-value problems -- Least-squares methods -- Data analysis : curve fitting and interpolation -- Optimization and root finding of algebraic systems -- Data-driven methods and reduced-order modeling.

Machining of Hard Materials

J. Paulo Davim
Machining of Hard Materials Book PDF

Author : J. Paulo Davim
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 54,7 Mb
Release : 2011-02-24
Category : Technology & Engineering
ISBN : 9781849964500

Get Book

Machining of Hard Materials by J. Paulo Davim Pdf

Hard machining is a relatively recent technology that can be defined as a machining operation, using tools with geometrically defined cutting edges, of a work piece that has hardness values typically in the 45-70HRc range. This operation always presents the challenge of selecting a cutting tool insert that facilitates high-precision machining of the component, but it presents several advantages when compared with the traditional methodology based in finish grinding operations after heat treatment of work pieces. Machining of Hard Materials aims to provide the reader with the fundamentals and recent advances in the field of hard machining of materials. All the chapters are written by international experts in this important field of research. They cover topics such as: • advanced cutting tools for the machining of hard materials; • the mechanics of cutting and chip formation; • surface integrity; • modelling and simulation; and • computational methods and optimization. Machining of Hard Materials can serve as a useful reference for academics, manufacturing and materials researchers, manufacturing and mechanical engineers, and professionals in machining and related industries. It can also be used as a text for advanced undergraduate or postgraduate students studying mechanical engineering, manufacturing, or materials.