MATLAB OPTIMIZATION TOOLBOX - RELEASE NOTES Bedienungsanleitung Seite 12

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R2015a
1-2
Improved performance and robustness of intlinprog primal-
simplex algorithm
The 'primal-simplex' algorithm of the intlinprog solver can solve more problems
than before, and has better performance on large problems. Select the algorithm in the
RootLPAlgorithm option.
Compatibility Considerations
intlinprog iterations can differ from previous versions. This holds even when you
select the 'dual-simplex' algorithm, because intlinprog uses the 'primal-
simplex' algorithm for some calculations in any case.
linprog dual-simplex algorithm returns more information
The linprog 'dual-simplex' algorithm now returns a Lagrange multiplier structure
and an output structure containing the first-order optimality measure.
quadprog active-set algorithm will be removed
The quadprog 'active-set' algorithm now warns that it will be removed in a future
release.
Compatibility Considerations
To avoid this warning, use optimoptions to set the Algorithm option to 'interior-
point-convex' or 'trust-region-reflective'. Or simply do not set the
Algorithm option; quadprog defaults to the 'interior-point-convex' algorithm.
fmincon allows problems without constraints
fmincon no longer throws an error if you run it on a problem without constraints. This
change can make it easier for you to see the effect of constraints by running a problem
both with and without constraints.
To run fmincon without constraints, you no longer need to set an artificial constraint,
such as lb = -Inf, but doing so will not matter.
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