Nonlinear Least Squares Fitting

Sagata Multiple Regression software offers the power of a professional regression package with the ease and comfort of a Microsoft Excel interface.Features include:Qualitative/Categorical Factors - often inputs or factors in model fitting are qualitative or categorical in nature, e.g., the type...

Function: Savitzky-Golay Smoothing and Differentiation Filter The Savitzky-Golay smoothing/differentiation filter (i.e., the polynomial smoothing/differentiation filter, or the least-squares smoothing/differentiation filters) optimally fit a set of data points to polynomials of different degrees....

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS


Platforms: Matlab

Title: Secrets of the Tide: Tide & Tidal Current Analysis and Predictions, Storm Surges, and Sea Level Trends. Horwood Publishing Limited, 2004.MATLAB programs for the analysis and prediction of ocean tides and tidal currents with graphic display of data and evaluation statistics.Two MATLAB...


Platforms: Matlab

rilt Regularized Inverse Laplace Transform [g,yfit,cfg] = rilt(t,y,s,g0,alpha) Array g(s) is the Inverse Laplace Transform of the array y(t), calculated by a regularized least squares method.This script is an emulation of S. Provencher CONTIN program, written in Fortran. See...


Platforms: Matlab

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting. It can find and...


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS


Platforms: Matlab

4 files are included in the package:(1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and(2) ts1.m - to reconstruct the vectors of the state space.(3) Example.m - runs fs01 and ts1...


Platforms: Matlab

Implementation of Levy et al's LSCM algorithm [1]. Also includes a basic Wavefront OBJ file format reader, and an implementation taking advantage of speed-ups available using JACKET from Accelereyes to perform some computations on an NVIDIA GPU.[1] B. LdoTevy, S. Petitjean, N. Ray, and J....


Platforms: Matlab

This function either displays Zernike polynomials over a circular, hexagonal, elliptical, rectangular or annular shaped pupil, or fits surface data to these pupil shapes. See Mahajan, V.N., G.-m. Dai, "Orthonormal polynomials in wavefront analysis: analytical solution," J. Opt. Soc. Am. A, Vol....


Platforms: Matlab

I have about a hundred MATLAB routines related to econometrics, statistics and introductory economics teaching, which are written mostly in my spare time in the past years. Most of these MATLAB functions / scripts are supplied with a graphic user interface so that so you may estimate the model...


Platforms: Matlab

fastBSpline - A fast, lightweight class that implements non-uniform B splines of any order Matlab's spline functions are very general. This generality comes at the price of speed. For large-scale applications, including model fitting where some components of the model are defined in terms of...


Platforms: Matlab

Function accepts size distribution in the form of two vectors: mesh size (d) and cumulative percent material retained R(d).Example:d = [0.08 0.50 1.25 2 4 6.3 8 12.5 16 40]Rd = [95.61 87.71 82.45 79.78 73.28 66.98 63.21 55.4 49.91 23.95][k, n] = RRD(d, Rd)Result of the function is a figure...


Platforms: Matlab

Performs polynomial fits that pass through a specified point (x0,y0).The application is to give a least squares fit that is 'exact' at a desired data point, e.g. an equilibrium point in a nonlinear equation of motion implemented via polynomial approximation. Discussion of theory included in...


Platforms: Matlab

The main advantages of the Hausdorff regression are that one should not specify the direction of the errors (vertical, horizontal, orthogonal ... with the ordinary least squares) and that it is less sensitive with respect to the square of the distance.This is the original idea. Any contribution...


Platforms: Matlab

CoffeeSaint is a fully customizable Nagios status viewer. It grabs the status from a Nagios server and displays it in a fullscreen GUI. It is written in Java so it should run on all platforms (tested on Linux, AIX 6.1 and windows xp) capable of running Java 5. For compiling with GCJ you need at...


Platforms: *nix

Performs computations associated with matrices, including solution of linear systems of equations (even least squares solution of over-determined or inconsistent systems and solution by LU factors), matrix operations (add, subtract, multiply), finding the determinant, trace, inverse, adjoint, QR...


Platforms: Windows

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value...


Platforms: Windows

This is a cross-platform software package for econometric analysis, written in the C programming language. It is is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

NMath Core contains foundational classes for object-oriented numerics on the .NET platform. Product features include: Single- and double-precision complex number classes; full-featured vector and matrix classes for single- and double-precision floating point numbers and single- and...


Platforms: Windows