In this paper, we review some fuzzy linear programming methods and techniques from a
practical point of view. In the first part, the general history and the approach of fuzzy …

Interior methods are a pervasive feature of the optimization landscape today, but it was not
always so. Although interior-point techniques, primarily in the form of barrier methods, were …

A comprehensive update of the leading algorithms text, with new material on matchings in
bipartite graphs, online algorithms, machine learning, and other topics. Some books on …

Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of
optimization, and describes numerical algorithms in a tutorial way. It covers fundamental …

This book presents a broad overview of numerical methods for students and professionals in
computationally oriented disciplines who need to solve mathematical problems. It differs …

The modern era of interior-point methods dates to 1984, when Karmarkar proposed his
algorithm for linear programming. In the years since then, algorithms and software for linear …

Interior point methods for optimization have been around for more than 25 years now. Their
presence has shaken up the field of optimization. Interior point methods for linear and …

This paper studies the semidefinite programming SDP problem, ie, the optimization problem
of a linear function of a symmetric matrix subject to linear equality constraints and the …

The first comprehensive review of the theory and practice of one oftoday's most powerful
optimization techniques. The explosive growth of research into and development of …

Before there were computers, there were algorithms. But now that there are computers, there
are even more algorithms, and algorithms lie at the heart of computing. This book provides a …