USER'S GUIDE FOR TOMLAB /SOL

时间:2017-01-16 08:50:21
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文件名称:USER'S GUIDE FOR TOMLAB /SOL

文件大小:1.01MB

文件格式:PDF

更新时间:2017-01-16 08:50:21

TOMLAB SOL

Welcome to the TOMLAB /SOL User's Guide. TOMLAB /SOL includes a wide range of solver and interfaces between The MathWorks' MATLAB and all solvers developed by Stanford Systems Optimization Laboratory. The solver package includes binaries for the following solvers: MINOS - For large-scale sparse general nonlinear programming problems. LP-MINOS - For large-scale sparse linear programming problems. QP-MINOS - For large-scale sparse quadratic programming problems. LPOPT - For dense linear programming problems. QPOPT - For dense convex quadratic programming problems. LSSOL - For dense linear and convex quadratic programs, and constrained linear least squares problems. NLSSOL - For nonlinear least squares with linear and nonlinear constraints. NPSOL - For dense linear, quadratic and nonlinear programming. SNOPT - For large-scale, sparse, linear and nonlinear programming. SQOPT - For sparse linear and quadratic programming. Please visit http://tomopt.com/tomlab/products/sol/ for more information. The interface between TOMLAB /SOL, Matlab and TOMLAB consists of two layers. The rst layer gives direct access from Matlab to SOL, via calling a Matlab function that calls a pre-compiled MEX le (DLL under Windows, shared library in UNIX) that denes and solves the problem in SOL. The second layer is a Matlab function that takes the input in the TOMLAB format, and calls the rst layer function. On return the function creates the output in the TOMLAB format.


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