Linear Foot

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0

XI = findX(X,Y,YI) estimates the XI values at which the dependentvariables Y reach or cross a specified target level YI (scalar value). If there are multiple solutions, findX finds all of them. It may be seen as the "inverse" operation of the MATLAB's functionINTERP1, under 'linear' method.X is a...

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

Let us suppose a set of non-linear equations in the formF(m) = d(m,d are vectors, F is a vector function of vector argument). ANNI tries to construct suitable numerical approximation for inverse projection of d to m, i.e. to find numerical form ofG(d) = m.Such mapping may not exist in general,...


Platforms: Matlab

This customised function solves one type of non-linear systemof 3 simultaneous equations in 3 unknowns: k, L and r0 in 3 equations with 4 knowns: zeta, eeta, d and angle.function matrixresults = symsolvenonlineq(n,degrees,dinput)% EXAMPLE USAGE: m=symsolvenonlineq(3,45,20)% nb: takes around 738s...


Platforms: Matlab

Script for the multiplication of linear expressions without coefficient constants. This script returns a polynomial of given expressions.The number of expressions are not restricted and constant may be real or integer.ExampleCompute the (x-2)(x+4)(x-5)...write in following format. here x is a Row...


Platforms: Matlab

These are the slides of a plenary talk given at the 2006 SIAM Annual Meeting, on July 11, 2006.The talk describes how x=Ab works in MATLAB, when A is sparse.You can view the video at http://www.cise.ufl.edu/research/sparse/SIAM06. Follow along with these slides as you view the video. The slides...


Platforms: Matlab

Project:1D signal:Identification of PieceWise Linear by multiple regressionDetection of homogeneous zone using entropieProjection in the Hough space (1D) I/OInputs: 1D signal (xe,ye)Simulated data (Figure 12);Outputs: Entropie signal (xee,yee)Line positions, positionLine lengths, longueurLine...


Platforms: Matlab

ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0function f = OrthLLS2D(x, y)Inputs x and y must be real vectors of equal size.Output f is the real vector [a b c] where a, b and c are the estimated parameters of the linear equation.Since a...


Platforms: Matlab

Helps choose a Box-Cox power transformation for a multivariate linear regression.Assume you are looking at the residuals of [b,bint,r] = regress(y,X) and it seems a transformation is in place. Use:boxcoxlm(y,X) to find the best lambda for a Box-Cox power transformation (y^lambda, or log(y) for...


Platforms: Matlab

Optimal experimental designs for generalized linear models (GLM) depend on the unknown coefficients, and two experiments having the same model but different coefficient values will typically have different optimal designs. Therefore, unlike experimental design for linear models, the prior...


Platforms: Matlab

User can generate a custom linear colormap giving 2 colors and colormap depth.Colors are given as vectors with RGB values. The suggested input method is using intensity values for each channel (0,1), but values in the (0,255) range are also allowed.No other colorspaces are allowed (i.e....


Platforms: Matlab

This script implements the linear Kalman filter and shows its performance on a 2nd order under-damped LTI system.The code consists of two main parts. In the first part, a noisy model with two state variables is simulated and in the second part, Kalman filtering is applied to estimate the real...


Platforms: Matlab

Solve multiple (2x2) or (3x3) linear systems:A(:,:,k)*X(:,:,k) = B(:,:,k) for k=1,2,...,NThe method used here is basic cofactor/determinant.DISADVANTAGE: This method may be less accurate than Matlab backslash (using in for-loop) when the matrices are ill-conditioned.ADVANTAGE: for a large number...


Platforms: Matlab

Implementations of the Hit-And-Run and Gibbs sampling algorithms for the generation of uniformly distributed random vector x satisfying the system of linear inequalities A.x


Platforms: Matlab

This code fits makes a linear fit to a data set (using y =bx+a) where each data point% has a different or constant standard deviation. Your data should have three or two columns.% The first column should be the independent variable(x) and the second% column should be the dependent variable(y)....


Platforms: Matlab

IND = SUB2IND4UP(I, J) returns the linear index equivalent to the row and column subscripts I and JLet ind be a vector of indexes for entries of some upper triangular matrix. The entries are selected vertically so that: ind = 1 is associated to entry (1, 2) ind = 2 is associated to entry (1, 3)...


Platforms: Matlab

Function that transforms 1 or 2D data to match a specified linear dynamic range.NORMALIZE_IMAGE(I,R) applies a linear transformation to the dynamic range of I, mapping pixel intensities to new values over the range R.


Platforms: Matlab

This GUI is used to compute the spectral sensor foot print.A BRDF data file Abisko.mat is needed to show the HCRF results, which is computed from Kuusk and Nilson FRT model.Monte Carlo integration is used to compute the conical view optical sensor responseSome details are shown in the...


Platforms: Matlab

Best Foot Forward provides an easy way to automatically create a featured post list by utilizing the WordPress tagging system. No need to create manual lists. No need to create categories. Just tag and you're done. You can use tags such as "featured" or "favorite", or any other words that you...


Platforms: PHP