Optimization and Simulation
~~~~~~~~~~~~~~~~~~~~~~~~~~~


+ `Neldermead`_

    + `fminsearch`_ Computes the unconstrained minimimum of given function
      with the Nelder-Mead algorithm.
    + `neldermead`_ Provides direct search optimization algorithms.
    + `neldermead_overview`_ An overview of the Nelder-Mead toolbox.
    + `nmplot`_ Provides direct search optimization algorithms.
    + `optimget`_ Queries an optimization data structure.
    + `optimplotfunccount`_ Plot the number of function evaluations of an
      optimization algorithm
    + `optimplotfval`_ Plot the function value of an optimization
      algorithm
    + `optimplotx`_ Plot the value of the parameters of an optimization
      algorithm
    + `optimset`_ Configures and returns an optimization data structure.

+ `Optimization base`_

    + `optimbase`_ Provides an abstract class for a general optimization
      component.

+ `Optimization simplex`_

    + `optimsimplex`_ Manage a simplex with arbitrary number of points.

+ `Semidefinite Programming`_

    + `aplat`_ Flattens a list.
    + `list2vec`_ Concatenates list entries in a matrix.
    + `lmisolver`_ Solve linear matrix inequations.
    + `lmitool`_ Graphical tool for solving linear matrix inequations.
    + `pack`_ Compress a list of block-diagonal symmetric matrices.
    + `recons`_ Inverse function for aplat.
    + `semidef`_ Solve semidefinite problems.
    + `unpack`_ Uncompress a list of block-diagonal symmetric matrices.
    + `vec2list`_ Inverse function of list2vec.

+ `NDcost`_ generic external for optim computing gradient using finite
  differences
+ `datafit`_ Parameter identification based on measured data
+ `derivative`_ approximate derivatives of a function
+ `fit_dat`_ Parameter identification based on measured data
+ `fsolve`_ find a zero of a system of n nonlinear functions
+ `karmarkar`_ Solves a linear optimization problem.
+ `leastsq`_ Solves non-linear least squares problems
+ `lsqrsolve`_ minimize the sum of the squares of nonlinear functions,
  levenberg-marquardt algorithm
+ `numdiff`_ numerical gradient estimation
+ `optim`_ non-linear optimization routine
+ `qld`_ linear quadratic programming solver
+ `qp_solve`_ linear quadratic programming solver builtin
+ `qpsolve`_ linear quadratic programming solver
+ `readmps`_ Reads a Linear Program from a MPS file.


.. _vec2list: vec2list.html
.. _fit_dat: fit_dat.html
.. _Optimization simplex: section_1b29874556eade84d39d9ddc5017e712.html
.. _numdiff: numdiff.html
.. _readmps: readmps.html
.. _lsqrsolve: lsqrsolve.html
.. _unpack: unpack.html
.. _qp_solve: qp_solve.html
.. _datafit: datafit.html
.. _karmarkar: karmarkar.html
.. _lmisolver: lmisolver.html
.. _optimsimplex: optimsimplex.html
.. _nmplot: nmplot.html
.. _optimbase: optimbase.html
.. _optimplotfunccount: optimplotfunccount.html
.. _neldermead_overview: neldermead_overview.html
.. _optimget: optimget.html
.. _semidef: semidef.html
.. _optimplotfval: optimplotfval.html
.. _fsolve: fsolve.html
.. _optim: optim.html
.. _lmitool: lmitool.html
.. _neldermead: neldermead.html
.. _Neldermead: section_996ac45bd8bf6981675a3deffce13c8a.html
.. _Optimization base: section_9a91c077be6a35d256b6112c69d20cc3.html
.. _NDcost: NDcost.html
.. _Semidefinite Programming: section_2df5343d55388884ee2de90972931fe0.html
.. _qld: qld.html
.. _optimplotx: optimplotx.html
.. _optimset: optimset.html
.. _derivative: derivative.html
.. _fminsearch: fminsearch.html
.. _leastsq: leastsq.html
.. _recons: recons.html
.. _aplat: aplat.html
.. _list2vec: list2vec.html
.. _pack: pack.html
.. _qpsolve: qpsolve.html