Operations research encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency, such as simulation, mathematical optimization, queuing theory and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, neural networks, expert systems, decision analysis, and the analytic hierarchy process. Nearly all of these techniques involve the construction of mathematical models that attempt to describe the system. The book keeps in view the needs of the student taking a regular course in operations research or mathematical programming, and also of research scholars in other disciplines who have a limited objective of learning the practical aspects of various optimization methods to solve their special problems. Summaries of computational algorithms for various methods which would help him to write computer programmes to solve larger problems would be helpful to various sections. This book exposes students to the broad scope of the topic, reinforces the basic principles, sparks students’ enthusiasm about the field, provides tools of immediate relevance and develops the skills necessary to use those tools.
AUTOR: Peter Langlow
EDITORA: Auris Reference
DISPONIBILIDADE DO PRODUTO: Sob Encomenda - Até 40 dias ( Importação )