With the LINDO API, you can easily create your own optimization applications. It allows you to plug the power of the LINDO solvers right into customized applications and mathematical programs that you have written. The recently released LINDO API 9.0 includes a number of significant enhancements and new features.

Fast, Easy Application Development– The LINDO API makes it easy for you to seamlessly integrate optimization into your own application. The developer interface has been designed for maximum ease-of-use and flexibility. It comes with clear, comprehensive documentation and examples to help you get running quickly.

Powerful Solvers– LINDO API provides you with an arsenal of powerful solvers for Stochastic, Linear, Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone and Integer optimization. All solvers incorporate numerous enhancements for maximum speed and robustness.

New Stochastic Programming Features– LINDO Systems has begun shipping a new release of LINDO API that includes new features to allow users to incorporate uncertainty into their optimization models.

Comprehensive Set of Routines– Whether your application is big or small, simple or complex, the LINDO API provides the flexibility and functionality that you’ll need. It includes dozens of routines to formulate, solve, query, and modify your problems.

Convenient Interface to MATLAB– The Windows 32 bit and 64 bit versions of LINDO API can be run as a MATLAB callable function. Using MATLAB ‘s modeling and programming environment, you can build and solve models and create custom algorithms based upon the LINDO API’s routines and solvers.

Extensive Documentation and Help– LINDO API provides all of the tools you will need to get up and running quickly. You get the LINDO API User Manual (in printed form or online in pdf format) that includes detailed function definitions for all routines. Also included in the manual is a discussion to assist you in writing your own applications.applications.

Analyze Infeasible and Unbounded Models– LINDO API includes tools that allow you to track down what has caused a model to be infeasible or unbounded. The tools isolate a portion of the original model as the source of the problem. This allows you to focus your attention on a relatively small subsection of the model to look for formulation or data entry errors. On infeasible linear, nonlinear, quadratic and integer models, the tools can find an irreducibly inconsistent set of constraints (IIS), and on unbounded models, the tools can find an irreducibly unbounded set of columns (IUS).

Create Web and Intranet Applications– The LINDO API is thread safe to allow you to create web and network applications that handle multiple user sessions concurrently. Web and network applications require special licensing. Contact LINDO Systems for more information.

Model Size Flexibility– Why pay for more capacity than you need? The LINDO API is available in a variety of different capacities. The capacities range from a few hundred variables to versions with unlimited capacity, so you can select the product that best suits your needs for a particular problem.

•    Faster Solutions on Linear Models with Improved Simplex Solver
Simplex LP algorithm improvements boost speed and robustness. Primal Simplex Solver averages 90% faster and Dual Simplex Solver averages 45% faster.

•    Better Performance on Integer Models
Improved solution times across broad classes of IP models from enhancements due to improved knapsack related cuts, superior default node selection rules, and branching variable selection rule options.

•    Expanded Capabilities of Efficient Solution of Quadratic Problems
If you work with covariance matrices, you’ll appreciate the ability to impose Positive Definiteness (POSD) as a constraint. If estimating a covariance matrix for a portfolio, a constraint may be added to force the matrix to be positive semi-definite (a property required of any covariance matrix).  Also, new reformulation capabilities give improved performance on quadratic portfolio models with semi-continuous variables (e.g. min-buy quantities) and cardinality (upper limit on assets) constraints. The Quadratic repair feature can improve performance on not quite convex QP’s.

•    Smarter Presolver
New preprocessing for linear programs significantly reduces coefficient density of certain dense matrices. This can significantly improve performance on models such as production planning with many periods.

•    Improved Nonlinear Solver
Upgraded default settings provide performance improvements overall on nonlinear models. Faster processing of long (1000’s of terms) nonlinear expressions in nonlinear models.

•    Additional Features
Sparse Cholesky factorization and related linear algebra utility functions added to the API and can now be called for general use. LScomputeFunction( ) provides a single interface for directly calling most of the 150+ math functions in API operator library.

Lindo API 9.0 is available for:

• Windows
• Linux 32 bit and 64 bit
• Mac 64 bit