A Course on Optimization and Best Approximation
Author | : R. B. Holmes |
Publisher | : |
Total Pages | : 252 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9783662166925 |
Download A Course on Optimization and Best Approximation Book in PDF, ePub and Kindle
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Course On Optimization And Best Approximation PDF full book. Access full book title A Course On Optimization And Best Approximation.
Author | : R. B. Holmes |
Publisher | : |
Total Pages | : 252 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9783662166925 |
Author | : R. B. Holmes |
Publisher | : Springer |
Total Pages | : 245 |
Release | : 2006-11-15 |
Genre | : Mathematics |
ISBN | : 3540371826 |
Author | : Richard B. Holmes |
Publisher | : Springer |
Total Pages | : 530 |
Release | : 1972 |
Genre | : Mathematics |
ISBN | : |
Author | : Richard B. Holmes |
Publisher | : |
Total Pages | : |
Release | : 1972 |
Genre | : Mathematical optimization |
ISBN | : |
Author | : Ioannis C. Demetriou |
Publisher | : Springer |
Total Pages | : 237 |
Release | : 2019-05-10 |
Genre | : Mathematics |
ISBN | : 3030127672 |
This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science, engineering, technology and social sciences. Academics, researchers, data science practitioners, business analysts, social sciences investigators and graduate students will find the number of illustrations, applications, and examples provided useful. This volume is based on the conference Approximation and Optimization: Algorithms, Complexity, and Applications, which was held in the National and Kapodistrian University of Athens, Greece, June 29–30, 2017. The mix of survey and research content includes topics in approximations to discrete noisy data; binary sequences; design of networks and energy systems; fuzzy control; large scale optimization; noisy data; data-dependent approximation; networked control systems; machine learning ; optimal design; no free lunch theorem; non-linearly constrained optimization; spectroscopy.
Author | : Stephen P. Boyd |
Publisher | : Cambridge University Press |
Total Pages | : 744 |
Release | : 2004-03-08 |
Genre | : Business & Economics |
ISBN | : 9780521833783 |
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Author | : Elliott Ward Cheney |
Publisher | : American Mathematical Soc. |
Total Pages | : 379 |
Release | : 2009-01-13 |
Genre | : Mathematics |
ISBN | : 0821847988 |
This textbook is designed for graduate students in mathematics, physics, engineering, and computer science. Its purpose is to guide the reader in exploring contemporary approximation theory. The emphasis is on multi-variable approximation theory, i.e., the approximation of functions in several variables, as opposed to the classical theory of functions in one variable. Most of the topics in the book, heretofore accessible only through research papers, are treated here from the basics to the currently active research, often motivated by practical problems arising in diverse applications such as science, engineering, geophysics, and business and economics. Among these topics are projections, interpolation paradigms, positive definite functions, interpolation theorems of Schoenberg and Micchelli, tomography, artificial neural networks, wavelets, thin-plate splines, box splines, ridge functions, and convolutions. An important and valuable feature of the book is the bibliography of almost 600 items directing the reader to important books and research papers. There are 438 problems and exercises scattered through the book allowing the student reader to get a better understanding of the subject.
Author | : Ivan Singer |
Publisher | : Springer Science & Business Media |
Total Pages | : 366 |
Release | : 2007-03-12 |
Genre | : Mathematics |
ISBN | : 0387283951 |
The theory of convex optimization has been constantly developing over the past 30 years. Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called "anticonvex" and "convex-anticonvex" optimizaton problems. This manuscript contains an exhaustive presentation of the duality for these classes of problems and some of its generalization in the framework of abstract convexity. This manuscript will be of great interest for experts in this and related fields.
Author | : Ivan Singer |
Publisher | : SIAM |
Total Pages | : 102 |
Release | : 1974-01-01 |
Genre | : Mathematics |
ISBN | : 9781611970548 |
Results and problems in the modern theory of best approximation, in which the methods of functional analysis are applied in a consequent manner. This modern theory constitutes both a unified foundation for the classical theory of best approximation and a powerful tool for obtaining new results.
Author | : Vijay V. Vazirani |
Publisher | : Springer Science & Business Media |
Total Pages | : 380 |
Release | : 2013-03-14 |
Genre | : Computers |
ISBN | : 3662045656 |
Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.