Numerical Optimization Techniques
Download Numerical Optimization Techniques full books in PDF, epub, and Kindle. Read online free Numerical Optimization Techniques ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Jorge Nocedal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 686 |
| Release | : 2006-12-11 |
| Genre | : Mathematics |
| ISBN | : 0387400656 |
Download Numerical Optimization Book in PDF, Epub and Kindle
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.
| Author | : Garret N. Vanderplaats |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 360 |
| Release | : 1984 |
| Genre | : Technology & Engineering |
| ISBN | : |
Download Numerical Optimization Techniques for Engineering Design Book in PDF, Epub and Kindle
| Author | : I︠U︡riĭ Gavrilovich Evtushenko |
| Publisher | : |
| Total Pages | : 584 |
| Release | : 1985 |
| Genre | : Mathematical optimization |
| ISBN | : |
Download Numerical Optimization Techniques Book in PDF, Epub and Kindle
| Author | : Anup Goel |
| Publisher | : Technical Publications |
| Total Pages | : 576 |
| Release | : 2021-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9333221786 |
Download Numerical Methods & Optimization Book in PDF, Epub and Kindle
Numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm. Numerical analysis is the study of algorithms that use numerical approximation for the problems of mathematical analysis. Numerical analysis naturally finds application in all fields of engineering and the physical sciences. Numerical methods are used to approach the solution of the problem and the use of computer improves the accuracy of the solution and working speed. Optimization is the process of finding the conditions that give the maximum or minimum value of a function. For optimization purpose, linear programming technique helps the management in decision making process. This technique is used in almost every functional area of business. This book include flowcharts and programs for various numerical methods by using MATLAB language. My hope is that this book, through its careful explanations of concepts, practical examples and figures bridges the gap between knowledge and proper application of that knowledge.
| Author | : Jorge Nocedal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 651 |
| Release | : 2006-06-06 |
| Genre | : Mathematics |
| ISBN | : 0387227423 |
Download Numerical Optimization Book in PDF, Epub and Kindle
The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on methods best suited to practical problems. This edition has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are widely used in practice and are the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience.
| Author | : Debashis Dutta |
| Publisher | : Springer Nature |
| Total Pages | : 569 |
| Release | : 2020-04-07 |
| Genre | : Technology & Engineering |
| ISBN | : 981153215X |
Download Numerical Optimization in Engineering and Sciences Book in PDF, Epub and Kindle
This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current methods and latest results involving advanced optimization techniques. The contents provide a good balance between numerical models and analytical results obtained for different engineering problems and challenges. This book will be useful for students, researchers, and professionals interested in engineering optimization techniques.
| Author | : Sukanta Nayak |
| Publisher | : Academic Press |
| Total Pages | : 323 |
| Release | : 2020-08-25 |
| Genre | : Technology & Engineering |
| ISBN | : 0128224924 |
Download Fundamentals of Optimization Techniques with Algorithms Book in PDF, Epub and Kindle
Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice. Presents optimization techniques clearly, including worked-out examples, from traditional to advanced Maps out the relations between optimization and other mathematical topics and disciplines Provides systematic coverage of algorithms to facilitate computer coding Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks
| Author | : C. T. Kelley |
| Publisher | : SIAM |
| Total Pages | : 195 |
| Release | : 1999-01-01 |
| Genre | : Mathematics |
| ISBN | : 9781611970920 |
Download Iterative Methods for Optimization Book in PDF, Epub and Kindle
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis rather than generality, and while it provides pointers to the literature for the most general theoretical results and robust software, the author thinks it is more important that readers have a complete understanding of special cases that convey essential ideas. A companion to Kelley's book, Iterative Methods for Linear and Nonlinear Equations (SIAM, 1995), this book contains many exercises and examples and can be used as a text, a tutorial for self-study, or a reference. Iterative Methods for Optimization does more than cover traditional gradient-based optimization: it is the first book to treat sampling methods, including the Hooke-Jeeves, implicit filtering, MDS, and Nelder-Mead schemes in a unified way, and also the first book to make connections between sampling methods and the traditional gradient-methods. Each of the main algorithms in the text is described in pseudocode, and a collection of MATLAB codes is available. Thus, readers can experiment with the algorithms in an easy way as well as implement them in other languages.
| Author | : Manfred Gilli |
| Publisher | : Academic Press |
| Total Pages | : 638 |
| Release | : 2019-08-30 |
| Genre | : |
| ISBN | : 0128150653 |
Download Numerical Methods and Optimization in Finance Book in PDF, Epub and Kindle
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
| Author | : Kevin W. Cassel |
| Publisher | : Cambridge University Press |
| Total Pages | : 728 |
| Release | : 2021-03-04 |
| Genre | : Technology & Engineering |
| ISBN | : 1108787622 |
Download Matrix, Numerical, and Optimization Methods in Science and Engineering Book in PDF, Epub and Kindle
Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.
