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LINDO API 12
線性規劃程式設計整合軟體
Powerful library of optimization solvers and routines.
軟體代號:34
瀏覽次數:4438
Windows2000WindowsXP
Features

Key Benefits of the LINDO API:  

- 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.

- 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.

- 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.

- 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.

- 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.

- 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 and available 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.

  • Fast, Easy Application Development

 

Introducing LINDO API 6.1 with 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. LINDO API 6.1 also includes enhancements to the linear, integer and global solvers.

 

New Stochastic Programming Interface

  • Modeling and optimization with uncertain elements through multistage linear, nonlinear and integer stochastic programming (SP).
  • Extensive set of API functions to setup and solve SP models.
  • Benders decomposition for solving linear SP models.
  • Deterministic equivalent method for solving nonlinear and integer SP models.
  • Supports most (20+) parametric (continuous or discrete) distributions.
  • User-defined distribution functions to be used through callbacks.
  • Customized sampling scenarios through the statistical sampling API.
  • Extensive API functions to sample directly from various statistical distributions,
  • Variance reduction with Latin-Hyper-Cube and Anti-thetic variates sampling,
  • Generation of correlated samples via Pearson, Spearman, or Kendall correlation measures.
  • Pseudo random number generation via a choice of three different generators.
    • Large linear models solve an average of 20% faster with improved primal and dual solvers.
    • Substantial improvements in all heuristics for finding close to optimal solutions quickly.
    • Significant improvements in cuts for certain types of special model structures.
 

Statistical Sampling API

 

Simplex Solver Improvements

 

MIP Solver Improvements

 

Global Solver Improvements

  • Significant improvement in the handling of nonlinear models with quadratic terms, especially non-convex quadratic expressions.

 

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