Primal-Dual Interior-Point Methods
| Author | : | |
| Rating | : | 4.93 (710 Votes) |
| Asin | : | 089871382X |
| Format Type | : | paperback |
| Number of Pages | : | 309 Pages |
| Publish Date | : | 2017-05-08 |
| Language | : | English |
DESCRIPTION:
'The current hottest topic in optimization is interior-point methods. We have used this book in a term-long seminar. I am sure I am going to use the book a lot and cite it often.' Erling D. The book is comprehensive and beautifully written. Andersen, Department of Management, Odense University, Denmark . I strongly recommend it to anyone interested in linear programming.' Michael Overton, New York University'Stephen J. It was immediately obvious that this book is both comprehensive and 'very readable' to both experts and students new to this area. Steve Wright's book is remarkable because it demystifies a very active current research area, synthesizing the important contributions and making the many clever ideas underlying the subject accessible to graduate (or even good undergraduate) students. Primal-dual methods are now recognized by both t
Deko said The easiest explanation of interior point linear programming. There are basically "The easiest explanation of interior point linear programming" according to Deko. There are basically 2 well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 19The easiest explanation of interior point linear programming Deko There are basically 2 well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 1940s but has since evolved into an efficient method through the use of many algorithmic and memory storage tricks. The other methods are much newer, starting in 1984, and are called "Interior-Point Methods". Inter. 0s but has since evolved into an efficient method through the use of many algorithmic and memory storage tricks. The other methods are much newer, starting in 198The easiest explanation of interior point linear programming Deko There are basically 2 well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 1940s but has since evolved into an efficient method through the use of many algorithmic and memory storage tricks. The other methods are much newer, starting in 1984, and are called "Interior-Point Methods". Inter. , and are called "Interior-Point Methods". Inter. well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 19The easiest explanation of interior point linear programming Deko There are basically 2 well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 1940s but has since evolved into an efficient method through the use of many algorithmic and memory storage tricks. The other methods are much newer, starting in 1984, and are called "Interior-Point Methods". Inter. 0s but has since evolved into an efficient method through the use of many algorithmic and memory storage tricks. The other methods are much newer, starting in 198The easiest explanation of interior point linear programming Deko There are basically 2 well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 1940s but has since evolved into an efficient method through the use of many algorithmic and memory storage tricks. The other methods are much newer, starting in 1984, and are called "Interior-Point Methods". Inter. , and are called "Interior-Point Methods". Inter. Wright is always right A Customer Excelent book, a must-have for everyone that has interest on the subject.. Excellent Book Bruce Shen Very accurate and detailed algorithm. Easy to be used in the real world application.
This is an excellent, timely, and well-written work. A unified treatment of superlinear convergence, finite termination, and detection of infeasible problems is presented. In the past decade, primal-dual algorithms have emerged as the most important and useful algorithms from the interior-point class. This book presents the major primal-dual algorithms for linear programming in straightforward terms. A thorough description of the theoretical properties of these methods is given, as are a discussion of practical and computational aspects and a summary of current software. Issues relevant to practical implementation are also discussed, including sparse linear algebra and a complete specification of Mehrotra's predictor-corrector algorithm. The major primal-dual algorithms covered in this book are path-following algorithms (short- and long-step, predictor-corrector), potential-reduction algorithms, and infeasible-interior-point algorithms. Also treated are extensions of primal-dual algorithms to more general problems such as monotone complementarity, semidefinite programming, and general convex programming problems.