**Linear Complementarity, Linear and Nonlinear Programming**

by Katta G. Murty

1997**Number of pages**: 613

**Description**:

This book provides an in-depth and clear treatment of all the important practical, technical, computational, geometric, and mathematical aspects of the Linear Complementarity Problem, Quadratic Programming, and their various applications. It discusses clearly the various algorithms for solving the LCP, presents their efficient implementation for the computer, and discusses their computational complexity. It presents the practical applications of these algorithms and extensions of these algorithms to solve general nonlinear programming problems.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**An Introduction to Nonlinear Optimization Theory**

by

**Marius Durea, Radu Strugariu**-

**De Gruyter Open**

Starting with the case of differentiable data and the classical results on constrained optimization problems, continuing with the topic of nonsmooth objects involved in optimization, the book concentrates on both theoretical and practical aspects.

(

**6390**views)

**Universal Optimization and Its Application**

by

**Alexander Bolonkin**-

**viXra.org**

This book describes new method of optimization (''Method of Deformation of Functional'') that has the advantages at greater generality and flexibility as well as the ability to solve complex problems which other methods cannot solve.

(

**4870**views)

**Optimization Algorithms on Matrix Manifolds**

by

**P.-A. Absil, R. Mahony, R. Sepulchre**-

**Princeton University Press**

Many science and engineering problems can be rephrased as optimization problems on matrix search spaces endowed with a manifold structure. This book shows how to exploit the structure of such problems to develop efficient numerical algorithms.

(

**16549**views)

**Applied Mathematical Programming Using Algebraic Systems**

by

**Bruce A. McCarl, Thomas H. Spreen**-

**Texas A&M University**

This book is intended to both serve as a reference guide and a text for a course on Applied Mathematical Programming. The text concentrates upon conceptual issues, problem formulation, computerized problem solution, and results interpretation.

(

**10909**views)