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High Performance Optimization (Hardcover, 1999 ed.): Hans Frenk, Kees Roos, Tamas Terlaky, Shuzhong Zhang High Performance Optimization (Hardcover, 1999 ed.)
Hans Frenk, Kees Roos, Tamas Terlaky, Shuzhong Zhang
R6,406 Discovery Miles 64 060 Ships in 10 - 15 working days

For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques.

High Performance Optimization (Paperback, Softcover reprint of the original 1st ed. 2000): Hans Frenk, Kees Roos, Tamas... High Performance Optimization (Paperback, Softcover reprint of the original 1st ed. 2000)
Hans Frenk, Kees Roos, Tamas Terlaky, Shuzhong Zhang
R6,393 Discovery Miles 63 930 Ships in 10 - 15 working days

For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new `golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques.

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