Nonlinear Programming contains the proceedings of a Symposium on Nonlinear Programming held in Madison, Wisconsin on May 4-6, 1970. This book emphasizes algorithms and related theories that lead to efficient computational methods for solving nonlinear programming problems. This compilation consists of 17 chapters. Chapters 1 to 9 are concerned primarily with computational algorithms, while Chapters 10 to 13 are devoted to theoretical aspects of nonlinear programming. Certain applications of nonlinear programming are considered in Chapters 14 to 17. The algorithms for nonlinear constraint problems, investigation of convergence rates, and use of nonlinear programming for approximation are also covered in this text. This publication is a good source for students and researchers concerned with nonlinear programming.

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Yes, you can access Nonlinear Programming by J. B. Rosen,O. L. Mangasarian,K. Ritter in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2014

ISBN

9781483272467

Topic

Mathematics

Subtopic

Applied Mathematics

Index

Mathematics

Front Cover
Nonlinear Programming
Copyright Page
Table of Contents
Foreword
Preface
Chapter 1. A Method of Centers by Upper-Bounding Functions with Applications
Chapter 2. A New Algorithm for Unconstrained Optimization
Chapter 3. A Class of Methods for Nonlinear Programming II Computational Experience
Chapter 4. Some Algorithms Based on the Principle of Feasible Directions
Chapter 5. Numerical Techniques in Mathematical Programming
Chapter 6. A Superlinearly Convergent Method for Unconstrained Minimization
Chapter 7. A Second Order Method for the Linearly Constrained Nonlinear Programming Problem
Chapter 8. Convergent Step-Sizes for Gradient-Like Feasible Direction Algorithms for Constrained Optimization
Chapter 9. On the Implementation of Conceptual Algorithms
Chapter 10. Some Convex Programs Whose Duals Are Linearly Constrained
Chapter 11. Sufficiency Conditions and a Duality Theory for Mathematical Programming Problems in Arbitrary Linear Spaces
Chapter 12. Recent Results on Complementarity Problems
Chapter 13. Nonlinear Nondifferentiable Programming in Complex Space
Chapter 14. Duality Inequalities of Mathematics and Science
Chapter 15. Programming Methods in Statistics and Probability Theory
Chapter 16. Applications of Mathematical Programming to lP Approximation
Chapter 17. Theoretical and Computational Aspects of Nonlinear Regression
Index