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### ANN MATLAB Wrapper 1.2

The default usage is very simple

### Gauss Legendre 1.0

This zip has 3 functions:

### Conformally Mapped Laplacian 1.0

sqdirichlet(16,sin((1 i tanh(z)/3)^2/3))

### Inverse 1D Interpolation 1.0

INVINTERP1 1-D Inverse Interpolation.

### DAE Example in Simulink 1.0

· MATLAB Release: R13

### Newton`s Interpolation 1.0

Script for Newton's Interpolation

### A Vandermonde matrix inversion 1.0

· MATLAB Release: R13

### Mittag-Leffler function 1.0

· MATLAB Release: R12

### Grab 2D points 1.0

You can use it to pick [x,y] points by clicking on the original scanned plot.

### Calculate roots of Chebyshev polynomials 1.0

· MATLAB Release: R14SP3

· MATLAB Release: R2007a

### SuiteSparse 1.0

Many of these functions are already built-in functions in MATLAB.

### Scattered Data Interpolation and Approximation 1.0

1. Create RBF interpolation using

### Legende-Gauss-Radau Nodes and Weights 1.0

· MATLAB Release: R12

### Convert form XYZ coordinate to YBC format 1.0

XYZ2YBC convert form XYZ coordinate to YBC format (LRA)

### Distance between points and ellipse 1.0

· MATLAB 7.9 or higher

### A toolbox for 2D horseshoe 1.0

· MATLAB Release: R2006a

### Sierpinski Sponge 1.0

The Sierpinski Sponge is a fractal image based on the Cantor Set. Cantor's fractal is based on a removing the middle third of a line segment, resulting in two new line segments of equal length. The middle third of these two segments is then ...

### Legendre-Gauss Quadrature Weights and Nodes 1.0

· MATLAB Release: R12.1

### Gauss Jordan, Gauss seidel Successive Relaxation 1.0

then you will get the answer on the result.txt

### Gauss-Jordan Elimination with Partial Pivoting 1.0

For example, given the matrix

### Gauss elimination with partial pivoting 1.0

· MATLAB Release: R14

### Gauss elimination with complete pivoting 1.0

This function calculate Gauss elimination with complete pivoting.

### FILLNANS 1.0

FILLNANS replaces all NaNs in array using inverse-distance weighting.

### KMINIMA 1.0

[Y,I] = KMINIMA(X,K) returns the indices of the minima in vector I.

### Routh Hurwitz array 1.0

· MATLAB 7.5 or higher

### Local Peaks 1.0

· MATLAB 7.4 or higher

### Smooth 1.0

It works with mathematical vectors (array, matrix), and not with graphical vectors.