Models, Methods, and Applications for Innovative Decision Making / Michael P. Johnson, Bryan Norman, Nicola Secomandi.

Format:

Book

Author/Creator:

Johnson, Michael P., author.

Norman, Bryan, author.

Secomandi, Nicola, author.

Language:

English

Subjects (All):

Innovative technology--Economic aspects.

Innovative technology.

Physical Description:

1 online resource (VIII, 260 pages)

Place of Publication:

Hanover, Md. : INFORMS, 2006.

Contents:

Foreword

Preface

Linear Equations, Inequalities, Linear Programs, and a New Efficient Algorithm

Katta G. Murty

Pages:1-36

Semidefinite and Second-Order Cone Programming and Their Application to Shape-Constrained Regression and Density Estimation

Farid Alizadeh

Model Uncertainty, Robust Optimization, and Learning

Andrew E. B. Lim, J. George Shanthikumar, Z. J. Max Shen

Robust and Data-Driven Optimization: Modern Decision Making Under Uncertainty

Dimitris Bertsimas, Aurélie Thiele

Approximate Dynamic Programming for Large-Scale Resource Allocation Problems

Warren B. Powell, Huseyin Topaloglu

Enhance Your Own Research Productivity Using Spreadsheets

Janet M. Wagner, Jeffrey Keisler

Multiechelon Production/Inventory Systems: Optimal Policies, Heuristics, and Algorithms

Geert-Jan van Houtum

Game Theory in Supply Chain Analysis

Gérard P. Cachon, Serguei Netessine

Planning for Disruptions in Supply Chain Networks

Lawrence V. Snyder, Maria P. Scaparra, Mark S. Daskin, Richard L. Church

Contributing Authors.

Notes:

Description based on publisher supplied metadata and other sources.