A matlab toolbox for nonlinear least squares optimization.

The following Matlab project contains the source code and Matlab examples used for a matlab toolbox for nonlinear least squares optimization. . * Same interface but better than 'lsqnonlin'. * Levenberg-Marquardt algorithm. * Support bounded constraints. * Support using finite difference to compute Jacobian matrix.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
license.txt 1310
BoundedFcnToUnconstrainedFcn.m 780
ChangeLog.txt 296
demoNLLSBox.m 1144
MapBoundedToUnconstrained.m 962
MapBoundedToUnconstrainedTest.m 457
MapUnconstrainedToBounded.m 1251
MapUnconstrainedToBoundedTest.m 567
NLLSBoxTest.m 387
NLLSCurveToCost.m 677
NLLSCurveToCostTest.m 392
NLLSTest1DCurve.m 479
NLLSTest1DCurveNoJacobian.m 244
NLLSTest1DCurveTest.m 142
NonlinearLeastSquares.m 8300
NonlinearLeastSquares.pdf 153024
NonlinearLeastSquaresTest.m 1313
README.txt 1532
CheckGradient.m 4237
CheckJacobian.m 2293
CheckNear.m 933
CheckNearAbs.m 735
CheckNearRel.m 806
NumericalJacobian.m 2051

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