Linear Quadratic Cubic Polynomial Regression

Arbitrary-order polynomial datum is fit to and extracted from input xy data. Outliers - defined based either on a non-parametric or mutliples-of-standard deviation criteria - are optionally identified and "set aside". The interative solution proceeds until there are no remaining outliers in the... 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

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

Gaussian kernel regression and local linear Gaussian kernel regression with variable window widthThis is the same as ksr and ksrlin (file File ID: #19195 and #19564), but instead of using the same bandwidth for each point, it uses a variable bandwidth given by the distance of each point to its... Platforms: Matlab

Provides linear and quadratic interpolation methods for functions defined on scattered 2D datasets.The quadratic method in tinterp seems to be superior when compared to the cubic method in gridata.Type "help tinterp" & "help tester" Platforms: Matlab

Regression mAKEr project is a simple modular application for data investigation. This is an application to help user (mathematician) to make regression between series of data, draw grpahics, and export them into various formats by means of common graphics packages (i.e., gnuplot, plotutils). It... Platforms: *nix

Proc::BackOff::Linear is a generic module meant to be directly inherited from and then modified by overloading the calculate_back_off object method. SYNOPSIS Usage: use Proc::BackOff::Linear; my $obj = Proc::BackOff::Linear->new( { $slope => 5, x => count, b => 0 ); # sequence would be... Platforms: *nix

Math::Polynomial::Solve is a Perl module to find the roots of polynomial equations. SYNOPSIS use Math::Complex; # The roots may be complex numbers. use Math::Polynomial::Solve qw(poly_roots); my @x = poly_roots(@coefficients); or use Math::Complex; # The roots may be complex numbers.... Platforms: *nix

Linear Program Solver is a small, simple, very easy to use tool specially designed to help you solve linear programming models. This tool offers: informative solving reports, extended sensitivity analysis, mixed integer models engine. LiPS supports MPS format and simple LP format (like... Platforms: Windows

DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string... Platforms: Windows

Linear Interpolation Calculator is a free solution that gives you the possibility to interpolate between values to arrive to the correct intermediate result. Linear interpolation has many uses usually in steam tables to find the unknown value. Platforms: Windows

This script defines the Matrix class, an implementation of a linear algebra matrix. Arithmetic operations, trace, determinant, and minors are defined for it. This is a lightweight alternative to a numerical Python package for people who need to do basic linear algebra. Vectors are implemented as... Platforms: Windows, Mac, *nix, Python, BSD Solaris

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Requirements: - MATLAB 7.5 or higher Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

This is a simple way of expressing non-linear scales (such as decibels) in python. In stead of:gain = 10 ** (12/10.)Use Platforms: Windows, Mac, *nix, Python, BSD Solaris

wen we give the two sequence ,we will get the o/p of linear convolution.the two sequences are computing by particular formula.thus we will got the output from the two sequences. the impulse response also we will get. Platforms: Matlab

Companion software for the Signal Processing & Linear Systems book by B.P. Lathi Platforms: Matlab

This code solves the economic dispatch by quadratic programming.Monotonic quadratic Fuel cost equations with Bmn coefficients is considered this model. Platforms: Matlab

These functions show some advances about MPF (Matrix Polynomial Fraction) using for represent multivariable models and design multivariable control system. Platforms: Matlab

Determinantal matrix representations of hyperbolic polynomials are a current topic of interest and research among those working with LMI's (Linear Matrix Inequalities) and SDP (semi-definite programming). This toolbox was used to demonstrate some of the theorems presented in the author's Ph.D.... Platforms: Matlab

This book is written for computational scientists who would like to incorporate state-of-the-art computational methods for solving large sparse systems of linear equations.For a full book description and ordering information, please visithttp://www.mathworks.com/support/books/boo...=-1&language=-1 Platforms: Matlab