Mathematical optimization

Solve complex curve fit problem with parameter pooling & stratification by nonlinear least-squares. in matlab

The following Matlab project contains the source code and Matlab examples used for solve complex curve fit problem with parameter pooling & stratification by nonlinear least-squares. . This example solves a complex curve fitting problem that involves parameter pooling and stratification using a nonlinear least-squares approach. This example also takes advantage of some new language features with MATLAB 7.  * Anonymous functions  * Nested functions

Solvers for joint sparse mmv reconstruction in matlab

The following Matlab project contains the source code and Matlab examples used for solvers for joint sparse mmv reconstruction. Constrained and Unconstrained, Analysis and Synthesis Prior Solvers for Jointly sparse Multiple Measurement Vectors. Sparco is required for running the Matlab files. Download it from http://www.cs.ubc.ca/labs/scl/sparco/ ans install it in Matlab path.

Firefly algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for firefly algorithm. Firefly algorithm for nonlinear constrained optimization. For simple demo in 2D, please use firefly_simple.m For unconstrained functions in higher dimenisions, please use fa_ndim.m For nonlinear constrained optimization, please use fa_mincon.m

Unconstrained optimization of a noisy function in matlab

The following Matlab project contains the source code and Matlab examples used for unconstrained optimization of a noisy function. This model was developed for use in teaching optimization in graduate engineering courses. It demonstrates one approach for attempting to find the minimum of noisy functions using gradient-based optimization. A corresponding video can be found at: http://www.youtube.com/watch?v=f2XTnXyQz6Q

Multi objective optimization using evolution strategies (es) as evolutionary algorithm (ea) in matlab

The following Matlab project contains the source code and Matlab examples used for multi objective optimization using evolution strategies (es) as evolutionary algorithm (ea). This function uses Evolution Strategies (ES) instead of Genetic Algorithms (GA) as Evolutionary Algorithm (EA) in the NSGA-II procedure for multi-objective optimization.

Generate random points in multi dimensional space subject to linear constraints in matlab

The following Matlab project contains the source code and Matlab examples used for generate random points in multi dimensional space subject to linear constraints. Generate Random Points in Multi-Dimensional Space subject to Linear Constraints. Algorithm is random walk type. Originally, this is used for MultiStart optimization.

Exhaustive search optimization method for one to multidimensional cases. in matlab

The following Matlab project contains the source code and Matlab examples used for exhaustive search optimization method for one to multidimensional cases. . [x,fval,exitflag,output] = fullminsearch(funfcn, xlow, xhigh, xstep) minimizes function "funfcn" using exhaustive search in space defined by: "xlow" - lower limits of parameters (vector) "xhigh" - upper limits of parameters (vector) "xtep" - step for each parameter (vector) Rule:  length(xlow) = length(xhigh) = length(xstep);  "exitflag" - number of find same minimums.

Trajectory modeling in the flight path system in matlab

The following Matlab project contains the source code and Matlab examples used for trajectory modeling in the flight path system. This script models the trajectory of an aerospace vehicle in the relative flight path coordinate system. The included example flies an STS maximum cross range re-entry trajectory using angle-of-attack and bank information extracted from a trajectory optimization program.

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