Matlab toolbox for Optimization and Data Fitting The toolbox contains a number of functions for optimization an data fitting. The selection of algorithms was guided by the DTU course 02610 Optimization and Data Fitting, but the MATLAB functions in the toolbox are expected also to have wider interest. (Source: http://plato.asu.edu)
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Xu, Wei; Coleman, Thomas F.: Solving nonlinear equations with the Newton-Krylov method based on automatic differentiation (2014)
- Xu, Wei; Coleman, Thomas F.; Liu, Gang: A secant method for nonlinear least-squares minimization (2012)
- Dyrholm, Mads; Kyllingsbæk, Søren; Espeseth, Thomas; Bundesen, Claus: Generalizing parametric models by introducing trial-by-trial parameter variability: the case of TVA (2011)
- Abokhodair, Abdulwahab A.: Numerical tools for geoscience computations: semiautomatic differentiation-SD (2007)