Linear Programming and Generalizations : A Problem-based Introduction with Spreadsheets

Eric V. Denardo

ISBN 10: 1489977716 / ISBN 13: 9781489977717

Published by Springer US, Springer US, 2017

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book on constrained optimization is novel in that it fuses these themes:-use examples to introduce general ideas;-engage the student in spreadsheet computation;-survey the uses of constrained optimization;.-investigate game theory and nonlinear optimization,-link the subject to economic reasoning, and-present the requisite mathematics.Blending these themes makes constrained optimization more accessible and more valuable. It stimulates the student's interest, quickens the learning process, reveals connections to several academic and professional fields, and deepens the student's grasp of the relevant mathematics.The book is designed for use in courses that focus on the applications of constrained optimization, in courses that emphasize the theory, and in courses that link the subject to economics.

Seller Inventory # 9781489977717

Bibliographic Details

• Title: Linear Programming and Generalizations : A Problem-based Introduction with Spreadsheets
• Publisher: Springer US, Springer US
• Publication Date: 2017
• Language: English
• ISBN 10: 1489977716
• ISBN 13: 9781489977717
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 37D millimeters 235 millimeters width by 155 millimeters height by 37 millimeters depth
• Weight: 1019 grams

About this title

Synopsis

This book on constrained optimization is novel in that it fuses these themes: • use examples to introduce general ideas; • engage the student in spreadsheet computation; • survey the uses of constrained optimization;. • investigate game theory and nonlinear optimization, • link the subject to economic reasoning, and • present the requisite mathematics. Blending these themes makes constrained optimization more accessible and more valuable. It stimulates the student’s interest, quickens the learning process, reveals connections to several academic and professional fields, and deepens the student’s grasp of the relevant mathematics. The book is designed for use in courses that focus on the applications of constrained optimization, in courses that emphasize the theory, and in courses that link the subject to economics.