Optimization Toolbox™ 4.0

Latest Features

Version 4.0

Released: 01 Mar 2008
 

Version 4.0, part of Release 2008a, includes the following enhancements:

• New parallel computing support for accelerating gradient estimation in selected constrained nonlinear solvers
• New general large-scale nonlinear programming algorithm in fmincon with improved bound constraint management
• New interface to KNITRO®, a third-party nonlinear programming solver

See the Release Notes for details.

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Version 3.1.2

Released: 01 Sep 2007
 

Version 3.1.2, part of Release 2007b, includes bug fixes.

Version 3.1.1

Released: 01 Mar 2007
 

Version 3.1.1, part of Release 2007a, includes bug fixes.  See the Release Notes for details.

Version 3.1

Released: 01 Sep 2006
 

Version 3.1, part of Release 2006b, includes the following enhancements:

• New Optimization Tool (optimtool), a graphical user interface for performing common optimization tasks
  • Select a solver and define your optimization problem
  • Set and inspect optimization options
  • Run problems and visualize results
  • Import and export your problem definitions, algorithm options, and results between the MATLAB workspace and Optimization Tool
  • Automatically generate M-code to capture your work and automate tasks
• New plot option for displaying predefined or customized measures of progress as the solver is executing

See the Release Notes for details.

Version 3.0.4

Released: 01 Mar 2006
 

Version 3.0.4, part of Release 2006a, includes a number of bug fixes. See the Release Notes for details.

Version 3.0.3

Released: 01 Sep 2005
 

Version 3.0.3, part of Release 14 with Service Pack 3, includes a number of bug fixes. See the Release Notes for details.

Version 3.0.2

Released: 07 Mar 2005
 

Version 3.0.2, part of Release 14 with Service Pack 2, includes bug fixes. See the Release Notes for details.

Version 3.0.1

Released: 22 Sep 2004
 

Version 3.0.1 includes bug fixes.

Version 3.0

Released: 02 Jun 2004
 

• Binary integer programming solver
• New implementation of the unconstrained optimization function fminunc for medium-scale problems
• Ability to use a simplex algorithm with the linear programming function linprog
• Output function available to receive optimization function calls at each iteration of the algorithm
• Additional diagnostic output information

Version 2.3

Released: 22 Sep 2003
 

• You can now create an output function that an optimization function calls at each iteration of its algorithm. You can use the output function to obtain information about the data at each iteration or to stop the algorithm based on the current values of the data.
• When calling the linear programming function linprog, you now have the option of using a simplex algorithm.
• The DerivativeCheck option is now available for all methods (medium- and large-scale) in fmincon, fminunc, lsqnonlin, fsolve, fseminf, fminimax, and fgoalattain.