Linear and Integer Programming Made Easy

Linear and integer programming are fundamental toolkits for data and information science and technology, particularly in the context of today's megatrends toward statistical optimization, machine learning, and big data analytics. Drawn from over 30 years of classroom teaching and applied resear...

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Bibliographic Details
Main Authors: Hu, T. C. (Author), Kahng, Andrew B. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Subjects:
Electronic circuits.
Computer science > Mathematics.
Engineering mathematics.
Engineering > Data processing.
Mathematics.
Electronic Circuits and Systems.
Mathematical Applications in Computer Science.
Mathematical and Computational Engineering Applications.
Applications of Mathematics.
Online Access:Full-text access
Table of Contents:
  • Preliminaries
  • Introduction
  • Dimension of the Solution Space
  • Introduction to the Simplex Method
  • Duality and Complementary Slackness
  • Revised Simplex Method
  • Column Generating Technique
  • The Knapsack Problem
  • Asymptotic Algorithms
  • The World Map of Integer Programs
  • Linear and Integer Programming in Practice.

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