Partial Least Square

Adobe Illustrator plugin to rotate path segments so that they're square to either horizonal, the current preferences constrain angle, or to the dominant axis of the path. What's new in this version: # Updated for use with Adobe Illustrator CS2

This modification will allow selling fractional quanitites of products. For instance, if you run a candy store, and want to sell a quarter lb of candy, you want your customer to enter .25, not 1. If you have a fabric store, and customers buy by the quarter yard, this mod will permit them to do...

This script implements data structures for solving the following two problems: - Range minimization: given an array X of data, quickly find min(X[i:j]) for different ranges i:j. - Least common ancestors: given a tree, quickly find the lowest tree node that is an ancestor of all of a given set...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

PSB (Public Square Board) aims to be a highly customizable, user-friendly, fast and reliable discussion board package. It is written in PHP, uses a MySQL database for data storage and is licensed under the GPL.


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

we had generated a signal and the we generated a random noise and add it to the signal,,then my using the lms algorithm we tried to cancel the effect of the noise on the signal and have the original signal back pure as possible


Platforms: Matlab

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...


Platforms: Matlab

This package contains a set of tools that allows to deform in real-time points and images using the Moving Least Squares algorithms. This is a fast technique to get good image deformations without using the computational expansive techniques provided by the thin-plates splines algorithms. The...


Platforms: Matlab

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...


Platforms: Matlab

OLS - Orthogonal Least Squares: Proposed by T. Blumensath, M. E. DaviesStOLS - Stagewise OLS: Combining StOMP ideas with OLSROLS - Regularized OLS: Combining ROMP ideas with OLS


Platforms: Matlab

FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you to perform fits with multiple independent (more than one x)...


Platforms: Matlab

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


Platforms: Matlab

This code can be used to solve a set of linear equations using Gaussian elimination with partial pivoting. Note that the Augmented matrix rows are not directly switches. Instead a buffer vector is keeping track of the switches made. The final solution is determined using backward substitution.


Platforms: Matlab

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that...


Platforms: Matlab

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that...


Platforms: Matlab

Very limited application of least squares. It gives you the plotted curves of original and plotted data with the equation in polynomial form. you can also evaluate that polynomial at different points for prediction.note:1.it would be best viewed on 1024x768.2. if you copy and paste data in data...


Platforms: Matlab

We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:- linear regression model- nonlinear regression model- fitting data in 3D space- identification of...


Platforms: Matlab

Constructs discrete least-squares rational approximations to data using the full-Newton algorithm for solving separable non-linear least-squares problems that was developed in:Carlos F. Borges, A Full-Newton Approach to Separable Nonlinear Least Squares Problems and its Application to Discrete...


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

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