Radiology Inverse Square Law

Simulate a time dependent solution of Schrodinger's equation and calculate energy spectrum of a 1D finite square well using split-operator method.Reference: M. D. Feit, J. A. Fleck, Jr., and A. Steiger, "Solution of the Schrodinger Equation by a Spectral Method", Journal of Computational Physics...

fitChiSquare is a generalized chi-square fitting routine for any model function when data measurement errors are known; it returns the model parameters and their uncertainties at the delta chi-square = 1 boundary (68% confidence interval). It also returns the chi-square and degrees of freedom...

The Hardy Weinberg equilibrium is a fundamental law in genetic.This function was deeply rewrited.If a locus is biallelic the function use the exact Hardy Weinberg test (similar to Fisher exact test) analyzing all possible tables. If you download TERNPLOT functions (ID:2299) the function plots a...


Platforms: Matlab

After publishing my new block simulink library Function Square,Y output ,and Xput i shoz lineqrity chqnging input vqlue.


Platforms: Matlab

function W = euklid_W(ws,d,n)function W = euklid_invW(ws,d,n) PURPOSE: create an (inverse) euklidean distance spatial weight matrix (n x m 'moving-window' style matrix with distance to center cell weighted.) ------------------------------------------------------------------ USAGE: W =...


Platforms: Matlab

The velocity and shear stress versus radial position are obtained for the laminar flow of a power-law fluid in a pipe. Pipe radius and applied pressure gradients can be set by the user. If you choose a power-law exponent, n, equal to 1 then a Newtonian fluid is recovered. Dilatant and...


Platforms: Matlab

The velocity and shear stress versus radial position are determined for laminar flow of a power law fluid in a pipe. The shooting method is used to verify the no-slip boundary condition at the piped-deOaos wall. Once the velocity at the center is determined, the governing equation is solved...


Platforms: Matlab

Applying the inverse transform method to the normal distribution entails evaluation of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating the inverse normal.Input: u, a sacalar or matrix with elements between 0 and 1Output: x, an approximation for the inverse normal...


Platforms: Matlab

[psi gopt] = dfdesign_w(phi, w, d);DFDESIGN_W computes the H-infinity optimal inverse filter of a given filter phi(z).The resulting filter psi(z) minimizes the H-infinity norm of the error systemE_w(z) = [z^(-d) - psi(z)phi(z)]w(z).If an error occurs, use "dfdesign_w_lmi.m".[INPUT]phi: target...


Platforms: Matlab

This function compute the individual Voronoi cell area of point sets bounded in an arbitrary square.Inputs:x : M x 1 array of x-coordinatesy : M x 1 array of y-coordinatestoggleplot : 1 to turn on figures, 0 to turn off figures;[x1,x2,y1,y2] : 1 x 4 array of square edgesOutputs:CellArea : M x 1...


Platforms: Matlab

An implementation of the image normalization (and inverse normalization) part of P. Dong et al.'s paper: "Digital Watermarking Robust to Geometric Distortions," IEEE Trans. Image Processing, Vol. 14, No. 12, pp. 2140-2150, 2005.


Platforms: Matlab

This is the package for online (competitive)/batch prediction using generalized linear models under square loss. The algorithms are derived using the Aggregating Algorithm.The algorithms have guarantees on the cumulative square loss for the worst case when applied in online fashion in comparison...


Platforms: Matlab

Chi-square tests of homogeneity and independence.Computes the P-value for I x J - table row/col independence.Ref.: DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/Input:X: data matrix (I x J -table) of the observed frequency cells.method: 'RC': Read-Cressie power divergence...


Platforms: Matlab

This m files is basically for the calculation of the Geometric Probability Law.In this file we change the value of p and k in it.


Platforms: Matlab

CHISQUARECONT takes as input a 2x2 matrix that represents a 2x2 contingency table andcalculates the probability of obtaining the observed and each of the more extreme tablesbased on the pearson chi square test which is based on the chi square distribution. Thechi square test might become...


Platforms: Matlab

At the moment, the Normal Inverse Gaussian (NIG) distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit. This...


Platforms: Matlab

At the moment, the normal inverse Gaussian distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit.


Platforms: Matlab

CHI2RAYLTEST: Single sample Pearson Chi Square goodness-of-fit statistical test to examine a null hypothesis of Rayleigh Channel.H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Squaretest to determine whether the null hypothesis of a Rayleigh channel realization is a...


Platforms: Matlab

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

This code solves biot savarts law to evaluate magnetic field from a circular coil at all points in the plane which is perpendicular to the plane of the coil.coil is situated in the X-Y plane centered at origin having radius =6 and we want to evaluate magnetic field at all points in the Y-Z plane....


Platforms: Matlab