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More than 100 algorithms for different types of optimization.
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Fully sparsified code, capable of handling large, sparse problems.
The codes are implemented to
efficiently handle Matlab sparse arrays.
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Automatic differentiation is integrated in TOMLAB by using the
MAD toolbox. TOMLAB /MAD is an add-on toolbox distributed by Tomlab Optimization.
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Six numerical differentiation methods, selectable.
The standard difference approach, four different spline
methods (three of these requires the Spline Toolbox), and one approach based on complex variables.
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Compilable with MathWorks MCC. Standalone and embedded applications are easily created.
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Tomlab standalone licenses are available for redistribution of
Tomlab in standalone applications.
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The tomSym class may be used as a code generator. It creates highly optimized m-files.
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Advanced use of structures for input and output, making is possible to define the user problem once, and use all suitable solvers suitable to solve the problem.
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Single problems are solved from the
Matlab command line by using the Tomlab Format in a few lines.
Driver routines tomRun and tomSolve can be used to call any solver.
Example files are included for all areas of optimization.
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Easy to use Tomlab solvers as black-box routines.
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Robust solution of ill-conditioned nonlinear least squares problems
with linear constraints using several different solver options.
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Special treatment of exponential fitting and other types of nonlinear
parameter estimation problems.
Unique algorithms for finding initial values and solving
exponential fitting problems.
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For more information, see the description of each of the different
products.
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