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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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Announcing LINGO 20 : New Features
+ Improved API interface. It is now much easier to incorporate your LINGO
model(s) into your own custom designed system.
The standard LINGO distribution has examples to illustrate how to do this.
+ LINGO in Excel. It is now easy to integrate a LINGO model into an Excel
spreadsheet. The end user sees it as just a smart Excel spreadsheet that can solve say,
a cutting stock problem for metal fabrication, or vehicle routing and delivery problems, or
a supply chain shipping assignment problem, and more.
+ New REST API distributed computing interface. If you want to have an
optimization based application accessible on the web from smart phones and
other devices, this is now easier to do.
+ Improved capability to create a Docker Image. If you like to be able to move an
application from one server to another with minimum hassle, Docker has proven to
be a popular way of achieving such portability.
+ Improved interface to R. The R statistical package is a popular way of doing
statistical analysis. It is now much easier to establish an interface between your
data in R and your optimization model in LINGO.
+ Improved interface to Python. Python is one of the most popular languages for
doing general computations. It is now much easier to establish an interface
between your Python application and your optimization model in LINGO.
+ Improved support for implied set names such as J01..J99, Jan..Oct, etc.
+ Improved ODBC connection to databases allowing import of sets (in addition to
attributes) within Calc sections.
+ Ability to generate alternate optimal solutions to linear programming models.
This may be done interactively, or programmatically within Calc sections using the
@NEXTALTOPT() function.
Performance Improvements
+ 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)
+ Support for additional useful but “problematic” functions:
Power utility function (x^g-1)/g and
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. Improved linearization of certain IF expressions.
Announcing LINDO API 15 (Application Program Interface)
LINDO API 15 is now shipping. You can download a trial version of LINDO API 15 from the LINDO Downloads page. LINDO API is a callable optimization library. It has substantial improvements to all components of the library, the LP/MIP solvers, Global optimizer, Nonlinear solver, and has greatly enhanced support for external MIP solvers. Most popular MIP solvers can now be plugged in with a simple command. LINDO API 15 is available on all major platforms: Windows, Linux, MacOS, ARM, Android.
Details:
+ Improved reproducibility when solving a problem repeatedly, particularly with the concurrent option choosing the fastest of Barrier, Primal simplex, and dual simplex. This is useful if you are trying to debug your application.
+ Global solver, improved handling of IF statements and polynomials.
Recognizes the CENSOR( x, LB, UB) construct which is the simplest form of an
S-curve function such as might be found in neural networks.
Recognizes the POLYNOMIAL construct to
better exploit( e.g., local convexity) univariate polynomials.
+ Improved Multi-start for quickly finding good solutions to difficult nonconvex problems,
+ Increased support for external solvers, including linear solvers such as COPT, CLP, HIGHS,
+ Improved support for some external Nonlinear solvers.
Download the free trial version and check the documentation in the \doc directory to see how to connect to your favorite solver. Note, you must have a valid license to the external solver.
Announcing What’sBest! 19, the Optimization Add-in for Excel
What’sBest! 19 is now shipping. It has all the features inherited from LINDO API 15 solver engine. In addition it has:
+Improved handling of Blackbox Excel models, that have either
All variables binary,
All functions are linear in the model.
In these situations there is no restriction on which Excel functions can be used.
+New WB functions
WBPOLYNOMIAL to efficiently handle univariate polynomials, and
WBCENSOR to efficiently handle piecewise linear S shaped functions as in neural nets.
+Improved warning messages for improperly formulated models.
+Improved reproducibility when solving a problem repeatedly, particularly with the concurrent option when solving with fastest of Barrier, Primal simplex, and Dual simplex
Nonlinear and Global Solver Improvements
Improved handling of IF statements and polynomials
Improved Multi-start
+External Solvers Improvements. Increased support for the external solvers, including linear solvers such as COPT, CLP and HIGHS. Improved support for not only CONOPT, but also external Nonlinear solvers such as IPOpt
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