• ## Our customers

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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.