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Mathematical programming optimizes the things to derive the best out of it. From housewife to businessman, peon to manager, industrialist to entrepreneur, farmer to CEO of a company, everyone intentionally or unintentionally optimizing their resources and goals. In every field optimization is applicable. This book presents the collection of tools and techniques to solve a variety of application problems of mathematical programming. This presents book presents the applicability of mathematical programming into various fields such as sampling, transportation, reliability, etc., in certain as well as uncertain environment. Problems of various fields are formulated into certain or uncertain mathematical programming problems and some of the best optimization approaches are used to derive the optimal or pareto optimal solution of the problems using LINGO software. The main audience of this book is academicians, researchers, practitioners, and policy makers. This book aims to provide the applications and tools to solve the mathematical programming problems for certain and uncertain environment under the umbrella. All the techniques are presented in a simple language and step by step.
| Autorius: | Neha Gupta |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 276 |
| ISBN-10: | 6203025143 |
| ISBN-13: | 9786203025149 |
| Formatas: | 220 x 150 x 17 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Mathematical Programming: Techniques and Applications“
