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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.
LINGOLINGO is a comprehensive tool designed to help you build and solve linear, optimization models quickly, easily, and efficiently.
LINDO® APILINDO® 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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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.
General:
Improved support for SUMIF functions
Resolved a memory issue with large Stochastic programs
“Exotic” Excel Functions Support:
Assume Linear Option: allows use of any Excel function as long as the resulting optimization model is linear in the Adjustable cells. What’sBest! tests if this is true.
Binary Black Box Option: allows use of any Excel function as long as all the Adjustable cells are binary and the model includes no constraints. Linearity is not required.
Improved detection and reporting of unsupported formulae
Performance Improvements:
Significantly better handling of “infinite” Excel ranges, where user specifies an unnecessarily large range, e.g., an entire column.
Linear and Integer Solver Improvements:
Improved heuristics for general integer programs
Average performance improvement of 2-3% on our standard test set
Nonlinear and Global Solver Improvements:
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. The solver can now robustly avoid the numerical problems that would otherwise occur when g approaches 0.
Linearization Improvements:
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.
You can also see this example on the demo site.
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You can also see this example on the demo site.
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