Linear, integer, and quadratic programming with LINDO by Linus Schrage

Cover of: Linear, integer, and quadratic programming with LINDO | Linus Schrage

Published by Scientific Press in Palo Alto, CA .

Written in English

Read online

Subjects:

  • Interactive computer systems,
  • Linear programming,
  • LINDO (Computer program),
  • Computer programs

Edition Notes

Book details

Other titlesLinear programming models with LINDO.
StatementLinus Schrage
Classifications
LC ClassificationsT57.74 .S37 1986
The Physical Object
Paginationviii, 284 p. :
Number of Pages284
ID Numbers
Open LibraryOL24958542M
ISBN 100894260901
ISBN 109780894260902
OCLC/WorldCa15377254

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c Description: viii, pages. ISBN: OCLC Number: Description: viii, pages: illustrations ; 28 cm: Other Titles: Linear programming models with LINDO. Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. Linear, integer, and quadratic programming with LINDO: user's manual in SearchWorks catalog.

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LINDO (Linear, INteractive, and Discrete Optimizer) is a convenient, but powerful tool for solving linear, integer, and quadratic programming problems.

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and a great selection of related books, art and collectibles available now at LINDO Systems - Optimization Software: Integer Programming, Linear Programming, Nonlinear Programming, Stochastic Programming, Global Optimization LINDO Application Programming Interface (LINDO API).

LINDO Systems develops software tools for optimization modeling. We offer solvers and a featured environment for Linear Programming, Nonlinear Programming, Integer Programming and Global Optimization models.

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and Q uadratic Integer Programming Problems Integer programming is used to model a variety of im- portant practical problems in operations research, engi- The Mathematical Aspects Of Operations Research And Systems Analysis Concerned With Optimization Of Objectives Form The Subject Of This Book.

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LINGO - modeling language. LIPSOL - linear programming. LNOS - linear programming/network flow problems. LOQO - Linear programming, unconstrained and constrained nonlinear optimization.

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The global minimization of a large-scale linearly constrained concave quadratic problem is considered. The concave quadratic part of the objective function is given in terms of the nonlinear variablesx ∈R n, while the linear part is in terms ofy ∈R k.

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Step 4 is to solve the problem. Figure shows the solution of our integer programming problem using the popular linear programming package LINDO. The GIN 6 command specifies that the first six decision variable are nonnegative integers.

Everything else in the problem specification is the same for the IP and the LP. The power of linear programming was greatly enhanced when came the opportunity of solving integer and mixed integer linear programming. In these models all or some of the decision variables are integer, re-spectively.

This field was opened by the introduction of the branch and bound method by Land and Doig. Later other algorithms have appear. User's Manual for Linear, Integer, & Quadratic Programming with Lindo by Schrage, Linus E. ISBN: List Price: $ OUT OF STOCK See Availability on Amazon. I am currently using zimpl, to parse the model, and glpk to solve it.

As they don't support quadratic programming, I would need to convert this to an MILP. The first variable is real, in range [0, 1], the second one is real, from range 0 to inf. This one could without a problem be integer.

The critical part in the objective function looks like.

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