# Bezier curve function in matlab

The following Matlab project contains the source code and Matlab examples used for bezier curve function.
This function constructs a Bezier curve from given control points.

The following Matlab project contains the source code and Matlab examples used for a faster way to computer a correlation matrix than corr.
A simple function that provides a much faster way to compute a correlation matrix than MATLAB's built in corr.m function.

The following Matlab project contains the source code and Matlab examples used for chebyshev center and radius.
This function returns the Chebyshev center and Chebyshev radius of a polytope defined by linear inequalities Ax<=b.

The following Matlab project contains the source code and Matlab examples used for the limaps algorithm.
A new regularization method for sparse representation based on a fixed-point iteration schema which combines two Lipschitzian-type mappings: an orthogonal projector and a nonlinear one for sparsity promotion.

The following Matlab project contains the source code and Matlab examples used for the k limaps algorithm.
A a new algorithm to solve the sparse approximation problem over redundant dictionaries based on LiMapS, where the input signal is restricted to be a linear combination of k atoms from a fixed dictionary.

The following Matlab project contains the source code and Matlab examples used for disptable display matrix with column or row labels.
Sometimes, rows or columns (or both) of a displayed matrix or vector have different meanings, and it would be nice to display them along with the matrix (instead of, say, remembering that the third row holds a given property of a set of data points).

The following Matlab project contains the source code and Matlab examples used for find the "i j k" indices of any element number "e" in the 2d or 3d matrix.
Many a times it may be required to identify the indices, 'i'(row),'j'(column) and 'k'(plane) values of an element number 'e'
% SAMPLE USAGE 1
% [row,column,plane]=findijk(79,[10 10 10])
% row =
% 9
% column =
% 8
% plane =
% 1
% SAMPLE USAGE 2
% [row,column,plane]=findijk(79,[10 10])
% row =
% 9
% column =
% 8
% plane =
% 1
% SAMPLE USAGE 3
% [row,column,plane]=findijk(301,[10 10 10])
% row =

The following Matlab project contains the source code and Matlab examples used for 3d bezier curve,.
%Example:
% P=[292 280 321 356;
% 196 153 140 148;
% -56 75 140 248];
%
% t=linspace(0,1,100);
% Q3D=Bezier(P,t);
%
% figure
% plot3(Q3D(1,:),Q3D(2,:),Q3D(3,:),'b','LineWidth',2),
% hold on
% plot3(P(1,:),P(2,:),P(3,:),'g:','LineWidth',2) % plot control polygon
% plot3(P(1,:),P(2,:),P(3,:),'ro','LineWidth',2) % plot control points
% view(3);
% box;.

The following Matlab project contains the source code and Matlab examples used for inverse distance weight .
The code performs an Inverse distance weighting (IDW) multivariate interpolation, i.

The following Matlab project contains the source code and Matlab examples used for legendre polynomials.
The built-in legendre() calculates the Legendre polynomials calculated ALL the orders for a given degree.

The following Matlab project contains the source code and Matlab examples used for displays a two dimensional discrete fourier transformation..
Easy to use display function for analyzing the FFT of tow-dimensional signals.

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

The following Matlab project contains the source code and Matlab examples used for least squares curve fitting.
Very limited application of least squares.

The following Matlab project contains the source code and Matlab examples used for minlp mixed integer nonlinear programming.
Solves the mixed integer nonlinear problem:
min p(x,y)
s.

The following Matlab project contains the source code and Matlab examples used for weighted nonlinear curve fit script with plotter.
This weighted nonlinear fit script fulfills the requirements of physicists, chemists and other quantative scientists, who need a fitting script for the everyday use.

The following Matlab project contains the source code and Matlab examples used for contour plot based on delaunay with linear interpolation.
Plot contour lines of a function F which is described by delaunay() matrices Tri,x,y. Linear interpolation across triangles is used.

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.

The following Matlab project contains the source code and Matlab examples used for nonlinear control of 4 tank process.
This simulaiton demonstrates the capabilities of the APmonitor non linear controller on the non-linear 4 tank process.

The following Matlab project contains the source code and Matlab examples used for galerkin method dirivative solver (multiple boundary conditions input).
suppose you have a function u,xx=f.... Well this program will solve this for u(x) given multiple boundary conditions. This is something I did for school in an attempt to get extra credit for going above and beyond. enjoy

The following Matlab project contains the source code and Matlab examples used for sum of probability distributions.
SUMPDF Probability distribution of the sum of distributions
[S,P,C]=SUMPDF(X1,P1,N1,X2,P2,N2,.

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.

The following Matlab project contains the source code and Matlab examples used for stiffness matrix.
for using this you assign Coordinates of nodes (NC) and define connectivity between the nodes in your finite elements models.

The following Matlab project contains the source code and Matlab examples used for demo finding an optimal path using matlab and optimization toolbox.
This demo shows how to use MathWorks products to solve a path-planning problem.

The following Matlab project contains the source code and Matlab examples used for recursive hypot function for multiple inputs.
MATLAB provides a function called hypot to calculate sqrt(abs(A).

The following Matlab project contains the source code and Matlab examples used for block diagonal multiplication.
Used to perform B*M or M*B with B a block diagonal matrix, B is stored as a cell array (call it C) with each element a matrix as a block of B, such that B = blkdiag(C{:}).

The following Matlab project contains the source code and Matlab examples used for fast computation of pseudo zernike radial polynomials.
Efficient computation of pseudo Zernike radial polynomials via their relation to Zernike radial polynomials.

The following Matlab project contains the source code and Matlab examples used for rosenbrock function.
In mathematical optimization, the Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Howard H.

The following Matlab project contains the source code and Matlab examples used for n dimensional sparse matrices.
N-dimensional sparse matrix and circular sparse matrix classes for arbitrary N.

The following Matlab project contains the source code and Matlab examples used for weighted kendall rank correlation matrix.
TAU = KENDALLTAU(Y) returns an N-by-N matrix containing the pairwise Kendall rank correlation coefficient between each pair of columns in the T-by-N matrix Y.

The following Matlab project contains the source code and Matlab examples used for weighted correlation matrix.
WEIGHTEDCORRS returns a symmetric matrix R of weighted correlation coefficients calculated from an input T-by-N matrix Y whose rows are observations and whose columns are variables and an input T-by-1 vector w of weights for the observations.

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