Nocedal J., Wright S.J. Numerical optimization

Nocedal J., Wright S.J. Numerical optimization
  • разное
  • pdf
  • 4.63 МБ
  • добавлен 02.02.2012
Springer – 2006, 685 pages.
ISBN: 0387303030.

Numerical Optimization 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 the methods that are best suited to practical problems.
For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and 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. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical.
Contents:
Preface.-Preface to the Second Edition.-Introduction.-Fundamentals of Unconstrained Optimization.-Line Search Methods.-Trust-Region Methods.-Conjugate Gradient Methods.-Quasi-Newton Methods.-Large-Scale Unconstrained Optimization.-Calculating Derivatives.-Derivative-Free Optimization.-Least-Squares Problems.-Nonlinear Equations.-Theory of Constrained Optimization.-Linear Programming: The Simplex Method.-Linear Programming: Interior-Point Methods.-Fundamentals of Algorithms for Nonlinear Constrained Optimization.-Quadratic Programming.-Penalty and Augmented Lagrangian Methods.-Sequential Quadratic Programming.-Interior-Point Methods for Nonlinear Programming.-Background Material.- Regularization Procedure.

Смотрите также


Нет изображения

Jorge Nocedal, Stephen J. Wright, Numerical Optimization

  • разное
  • pdf
  • 3.11 МБ
  • добавлен 20.05.2010
Hardcover: 664 pages.
Publisher: Springer; 1999.
Language: English.


Review
MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it...
Ruszczynski A. Nonlinear Optimization

Ruszczynski A. Nonlinear Optimization

  • разное
  • pdf
  • 375.01 КБ
  • добавлен 17.02.2010
Only in Engllish, Princeton University Press. Discussed unconstrained optimization problem with nonlinear optimization models, nonlinear optimization theory, and numerical methods of optimization (for instance, quadratic programming problems).
Нет изображения

Venkataraman P. Applied Optimization with MATLAB Programming

  • разное
  • pdf
  • 12.72 МБ
  • добавлен 07.01.2011
Wiley & Sons, 2001. - 416 pages.

The term "optimization" is used in describing a large number of numerical methods used to test the variables in a given process in order to identify the best method of process. The process of optimization lies at the root of engineering since the classical function of the engineer is...
Berkovitz L.D. Convexity and Optimization in R^n

Berkovitz L.D. Convexity and Optimization in R^n

  • разное
  • pdf
  • 1.62 МБ
  • добавлен 17.05.2010
New York: Wiley-Interscience, 2001. - 279 pp. На англ. яз.

A comprehensive introduction to convexity and optimization in Rn
This book presents the mathematics of finite dimensional constrained optimization problems. It provides a basis for the further mathematical study of convexity, of more general optimization pro...
Antoniou A., Lu W.-S. Practical Optimization. Algorithms and Engineering Applications

Antoniou A., Lu W.-S. Practical Optimization. Algorithms and Engineering Applications

  • разное
  • pdf
  • 5.05 МБ
  • добавлен 04.10.2011
Издательство Springer, 2007, -675 pp.

The rapid advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to an astonishing growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has...
Sun W., Yuan Y.-X. Optimization Theory and Methods. Nonlinear Programming

Sun W., Yuan Y.-X. Optimization Theory and Methods. Nonlinear Programming

  • разное
  • pdf
  • 3.08 МБ
  • добавлен 15.10.2011
Издательство Springer, 2006, -688 pp.

Optimization is a subject that is widely and increasingly used in science, engineering, economics, management, industry, and other areas. It deals with selecting the best of many possible decisions in real-life environment, constructing computational methods to find optimal solution...
Haslinger J., M?kinen R.A.E. Introduction to shape optimization: theory, approximation, and computation

Haslinger J., M?kinen R.A.E. Introduction to shape optimization: theory, approximation, and computation

  • разное
  • pdf
  • 16.42 МБ
  • добавлен 15.08.2011
SIAM, 2003. P. 273.
Treats sizing and shape optimization in a comprehensive way, covering everything from mathematical theory (existence analysis, discretizations, and convergence analysis for discretized problems) through computational aspects (sensitivity analysis, numerical minimization methods) to industrial applications
Pedregal P. Introduction to Optimization

Pedregal P. Introduction to Optimization

  • разное
  • djvu
  • 2.13 МБ
  • добавлен 06.06.2011
Springer, 2004. - 245 Pages.

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 aspe...
Lange K. Optimization

Lange K. Optimization

  • разное
  • djv
  • 1.63 МБ
  • добавлен 06.06.2011
Springer, 2004. - 252 Pages.

Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithm...
Vanderbei R.J. Linear Programming: Foundations and Extensions

Vanderbei R.J. Linear Programming: Foundations and Extensions

  • разное
  • pdf
  • 2.6 МБ
  • добавлен 15.12.2011
Publisher: Springer; 3rd ed. Edition | 2007 | ISBN10: 0387743871 | 464 pages
Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network fl...