Convexification and Global Optimization in Continuous and Mixed Integer Nonlinear Programming is popular PDF and ePub book, written by Mohit Tawarmalani in 2013-04-17, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Convexification and Global Optimization in Continuous and Mixed Integer Nonlinear Programming can be Read Online from any device for your convenience.
Convexification and Global Optimization in Continuous and Mixed Integer Nonlinear Programming Book PDF Summary
Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs.
Detail Book of Convexification and Global Optimization in Continuous and Mixed Integer Nonlinear Programming PDF
- Author : Mohit Tawarmalani
- Release : 17 April 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781475735321
- Genre : Mathematics
- Total Page : 492 pages
- Language : English
- PDF File Size : 7,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Convexification and Global Optimization in Continuous and Mixed Integer Nonlinear Programming by Mohit Tawarmalani, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.