LINDO Systems developed a collection of software packages that facilitate building and solving optimisation models.
Linear, non-linear and integer optimisation tools are used by companies interested in addressing questions related to profit maximisation, cost minimisation, production planning, transportation, finance, portfolio allocation, capital budgeting, blending, scheduling, inventory, resource allocation and other.
LINDO Systems offer the following products:
WhatsBest! lets you build linear, nonlinear, and integer models in Excel. Models are easy to build and understand using standard spreadsheet equations.
LINGO is a comprehensive tool designed to help you build and solve linear, optimization models quickly, easily, and efficiently.
LINDO API creates optimization applications. It allows you to plug the power of the LINDO solver right into customized applications that you have written.
LINDO Systems bundle offering of all the above three products.
What’sBest! 16 includes a wide range of performance enhancements and new features.
Enhancements to the Simplex solvers boost speed on linear models. Models solve an average of 18% faster using primal simplex and 15% faster for dual simplex.
Improvements in handling large quadratic matrices, e.g. 1000 x 1000, provide substantial performance improvement solving Quadratic Programming models.
Models that utilize the ALLDIFF function and discontinuous functions such as MOD(x,k), INT(x), ROUND(x), can be solved more quickly.
In situations in which it may be difficult to predict whether the Primal, Dual or Barrier Solver will provide the fastest solution to a linear model, an improved Multi-Core feature allows you to assign each solver to a separate core and run them concurrently. So, you are ensured the solution in the shortest time regardless of which solver is fastest.
Users can specify a target value for the objective function. As soon as any multi-start thread achieves a specified target all threads stop.
Support has been added for new arithmetic functions, WBSIGNPOWER, WBLMTD, WBRLMTD, that can be useful in various engineering design, e.g., nonlinear network and heat exchanger models.
A new WBQUADPROD functions has been added to greatly simplify the expression of portfolio models.
Currently a beta release, LINGO 18 is available for download here. See below the new features contained in LINGO 18:
Enhancements to the Simplex solvers boost speed on linear models. Models solve an average of 18% faster using primal simplex and 15% faster for dual simplex./p>
Improvements in handling large quadratic matrices, e.g. 1000 x 1000, provide substantial performance improvement solving financial portfolio and other quadratic models.
Models that use discontinuous functions such as MOD(x,k), INT(x), ROUND(x), can be solved more quickly.
In situations in which it may be difficult to predict whether the Primal, Dual or Barrier Solver will provide the fastest solution to a linear model, an improved Multi-Core feature allows you to assign each solver to a separate core and run them concurrently. So, you are ensured the solution in the shortest time regardless of which solver is fastest.
Users can specify a target value for the objective function. As soon as any multi-start thread achieves a specified target all threads stop.
Release 12 of LINDO API includes a wide range of performance enhancements and new features:
Enhancements to the Simplex solvers boost speed on linear models. Models solve an average of 18% faster using primal simplex and 15% faster for dual simplex.
Improvements in handling large quadratic matrices, e.g. 1000 x 1000, provide substantial performance improvement solving financial portfolio and other quadratic models.
Models that use discontinuous functions such as MOD(x,k), INT(x), ROUND(x), can be solved more quickly.
In situations in which it may be difficult to predict whether the Primal, Dual or Barrier Solver will provide the fastest solution to a linear model, an improved Multi-Core feature allows you to assign each solver to a separate core and run them concurrently. So, you are ensured the solution in the shortest time regardless of which solver is fastest.
Users can specify a target value for the objective function. As soon as any multi-start thread achieves a specified target all threads stop.
Support has been added for new arithmetic functions, SIGNPOWER, LMTD, RLMTD, that can be useful in various engineering design, e.g., nonlinear network and heat exchanger models.
Coming Soon. Please email us at [email protected] to order your license LINDO (What'sBest!, LINGO & LINDO API)