• Announcing What'sBest 18 beta, LINGO 20 beta and LINDO® API 14 beta releases with faster solvers and new features.

    Announcing What'sBest 18 beta, LINGO 20 beta and LINDO® API 14 beta releases with faster solvers and new features.

  • What'sBest! 17.0 - Excel Add-In for Linear, Nonlinear, and Integer Modeling and Optimization

    What'sBest! 17.0 - Excel Add-In for Linear, Nonlinear, and Integer Modeling and Optimization

  • LINGO 19.0 - Optimization Modeling Software for Linear, Nonlinear, and Integer Programming

    LINGO 19.0 - Optimization Modeling Software for Linear, Nonlinear, and Integer Programming

  • LINDO® API 13.0 - Powerful Library of Optimization Solvers and Mathematical Programming Tools

    LINDO® API 13.0 - Powerful Library of Optimization Solvers and Mathematical Programming Tools

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  • What'sBest!

    What'sBest! lets you build linear, nonlinear, and integer models in Excel. Models are easy to build and understand using standard spreadsheet equations.


  • LINGO

    LINGO is a comprehensive tool designed to help you build and solve linear, optimization models quickly, easily, and efficiently.



  • LINDO® API

    LINDO® API creates optimization applications. It allows you to plug the power of the LINDO® solver right into customized applications that you have written.

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Announcing LINDO API 14 : New Features

 

Linear-Integer solver:

   + Improved heuristics for general integer programs.

    + Average performance improvement of 2-3% on our standard test set.

   + Improved method for generating all alternative optima to a linear program. 

      The first call to LSgetNextBestSol() creates a prespecified number of corner points  

       via pivoting on the optimal solution set. 

       Subsequent calls will nonredundantly return successive corner points. 

       Standard solution query methods can be used to access primal-dual vectors 

       following each call to LSgetNextBestSol. 

 

Linearization

     + Support for Indicator constraints, e.g., z = 0 implies x + y <= 0;

     + more expressions can be automatically linearized, so you can now use a fast linear 

        solver where otherwise a much slower (30x?) nonlinear solver.might be required.

     + advanced linearization of QP and Conic models

     + improved linearization of certain IF expressions. 

 

Nonlinear and Global solver:

      + faster (order of magnitude) solution of linear fractional programs (ratio objectives).

      + improved bound tightening process in preprocessing of nonlinear models.

      + auxiliary variables generated automatically to improve performance with

          complicated expressions. 

      + Support for additional useful but “problematic” functions:

         Power utility function  (x^g-1)/g  and the exponential ratio function (exp(g) – 1)/g,

         are important in some situations modeling consumer behavior.

         LINDO API can now robustly avoid the numerical problems that would otherwise 

         occur when g approaches 0.

 

Interfaces:

       + Julia/JuMP is now supported officially.

       + Python interface installations now easier via pip (pypi.org)

       + Matlab interface now has two alternative methods for linear and integer

          optimization, LSlinprog and LSintprog. Argument lists follow their counterparts, 

           linprog and intprog, in Matlab’s optimization toolbox.

 

 

 

 

 

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