Constraint Programming and Decision Making: Theory and Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Constraint Programming and Decision Making: Theory and Applications by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319617534
Publisher: Springer International Publishing Publication: September 7, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319617534
Publisher: Springer International Publishing
Publication: September 7, 2017
Imprint: Springer
Language: English

This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas.

The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd’XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world.

It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas.

The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd’XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world.

It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints.

More books from Springer International Publishing

Cover of the book Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging by
Cover of the book Transnational Activities and Immigrant Integration in Germany by
Cover of the book Principles of Free Electron Lasers by
Cover of the book Antenna Design Solutions for RFID Tags Based on Metamaterial-Inspired Resonators and Other Resonant Structures by
Cover of the book Multigraded Algebra and Applications by
Cover of the book Personalized Oral Health Care by
Cover of the book Fruit and Vegetable Storage by
Cover of the book Perioperative Medical Management for Total Joint Arthroplasty by
Cover of the book Hypertension and Comorbidities by
Cover of the book Dyes and Pigments by
Cover of the book Legume Nitrogen Fixation in a Changing Environment by
Cover of the book Transcendence, Immanence, and Intercultural Philosophy by
Cover of the book Nonlinear Mode Decomposition by
Cover of the book Experimental Legislation in China between Efficiency and Legality by
Cover of the book Languages and Compilers for Parallel Computing by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy