COVID-19 UPDATES

  • Masks covering your nose and mouth are required for entry.
  • HOLIDAY ALERT: Online Orders will NOT be processed during our closure on November 25 & 26. We will process them as quickly as we can beginning on Saturday, November 27. A reminder: your order is not complete until you receive an email confirming that it is ready for pickup! Thank you! 

 

TOP 21 OF 2021

Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction (Hardcover)

PLEASE READ BEFORE PLACING AN ORDER:

-Please do not come to the store until you get a confirmation email that your order is complete and ready for pickup!

-Please place orders for pre-order titles separately. If your pre-order is placed with other titles, please note that we will add additional shipping fees.

-Women & Children First is not responsible for lost or stolen packages.

Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction Cover Image
$267.00
Unavailable

Description


Dieser Band untersucht die Rolle der Logik bei der Optimierung - Grundlage f r eine neue Generation von Vorlesungen in diskreter Optimierung In ausgesprochen klarem, technisch sauberen Stil werden Tools und Techniken erl utert sowie vielf ltige Programmieroptionen (ILOG, CPLEX, OPL, AMPL, GAMS und andere). Mit zahlreichen anschaulichen Beispielen. (07/00)

About the Author


JOHN HOOKER, PhD, is Professor of Operations Research and T. Jerome Holleran Professor of Business Ethics and Social Responsibility at the Graduate School of Industrial Administration, Carnegie Mellon University. Well-known for his work in the operations research/computer science interface, Dr. Hooker has published over 80 articles and coauthored (with Vijay Chandru) Optimization Methods for Logical Inference, also available from Wiley.
Product Details
ISBN: 9780471385219
ISBN-10: 0471385212
Publisher: Wiley-Interscience
Publication Date: May 30th, 2000
Pages: 520
Language: English
Series: Wiley Interscience Series in Discrete Mathematics (Hardcover)