Description: Business Optimization Using Mathematical Programming : An Introduction With Case Studies and Solutions in Various Algebraic Modeling Languages, Hardcover by Kallrath, Josef, ISBN 3030732363, ISBN-13 9783030732363, Brand New, Free shipping in the US
This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. Th also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
Price: 165.75 USD
Location: Jessup, Maryland
End Time: 2024-09-24T18:05:22.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Edition: 2
Book Title: Business Optimization Using Mathematical Programming : An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Number of Pages: Xxxiv, 629 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Topic: Operations Research, Management Science, Optimization
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 40.7 Oz
Author: Josef Kallrath
Item Length: 9.3 in
Item Width: 6.1 in
Book Series: International Series in Operations Research and Management Science Ser.
Format: Hardcover
