A Computer Code for Solving Integer Programming Problems With Variable Resource Levels (Classic Reprint) - Tapa blanda

A Computer Code for Solving Integer Programming Problems With Variable Resource

Paperback. Condición: New. Print on Demand. This book explores the fascinating world of integer programming, a powerful mathematical technique used to solve problems with constraints that require whole number solutions. The author delves into the historical development of integer programming, tracing its roots back to Dantzig's seminal work on linear programming in 1947. The book then moves on to discuss a specific algorithm, MMDP, and its application to parametric integer programming problems. These problems, which involve varying resource levels, had never been solved before the author's groundbreaking work. The bookââ â¢s key innovation lies in a computer code that enables the solution of parametric integer programming problems, allowing for the optimization of solutions within a range of resource constraints. Through a series of practical examples, the author illustrates how this technique can be applied to real-world scenarios, such as maximizing the value of a spaceship's cargo or finding the optimal investment strategy within a limited budget. The author explores the intricate relationship between the algorithm's parameters and the computational efficiency of the code, offering valuable insights into how to optimize its performance for specific problem types. This book provides a valuable resource for anyone seeking to understand the complexities of integer programming and its potential applications in diverse fields, making a significant contribution to the field by demonstrating how to solve a previously intractable class of optimization problems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781334017674_0

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