Software Downloads for "Least Squares Fit Routine"

Least Squares Fit Routine (LuSiFeR) is a program for least squares data analysis. Least Squares Fit Routine (LuSiFeR) is a software application that was designed for least squares data analysis. The first package is in the form of a script for MATLAB, while the second is a standalone program written in C++, with extended capabilities.Both packages perform least-squares regression analysis on a user-supplied dataset, and calculate appropriate fitted parameters (with uncertainties) and an associated X2 value.

QuickFit Suite is a 32 bit software product that consists of 2 programs - 1. QuickFit performs a polynomial least squares fit (up to ninth order) on user-entered data.2. QuickMVR performs a multivariable regression on user entered-data.. Home..

variogramfit performs a least squares fit of various theoretical variograms to an experimental, isotropic variogram. The user can choose between various bounded (e.g. spherical) and unbounded (e.g. exponential) models. A nugget variance can be modelled as well, but higher nested models are not supported. The function works best with the function fminsearchbnd available on the FEX. You should download it from the File Exchange (File ID: #8277). If you don't have fminsearchbnd, variogramfit uses fminsearch.

% Based on - A simple method for fitting of bounding rectangle to closed regions - D. Chaudhuri a , A. Samal b. % fit_rectangle - Function provides a least squares fit to the % given boundary points of an object of unknown shape. % % Inputs - Boundary elements that must be a Nx2 array. (atleast 3 required) % Output - % Bounding_points(4x2): % Function will return a struct consisting of the bounding points % equation_of_diagonals(2x2): % Function will return the equation of the diagonal in the form % y = mx +c (giving back m and c foreach diagonal).

  • Platform: Matlab, Scripts
  • Publisher: Onkar Raut
  • Date: 27-04-2013
  • Size: 10 KB

Among the considerations in the use of analysis of regression, outliers or bad values can seriously disturb the least-squares fit. They falls far from the line implied by the rest of the data. If these points are really outliers, then the estimate of the intercept may be incorrect and the residual mean square may be an inflated estimate of the true variance. There are methods for scaled residuals useful in finding observations that are outliers. One of them is the externally studentized residual, usually called R-student.

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

  • Platform: Matlab, Scripts
  • Publisher: Angshul Majumdar
  • Date: 07-05-2013
  • Size: 10 KB

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 a) global convergence is assured b) a solution is found even for a vertical line. The complete uncertainty matrix (i.e. variances AND covariance of the fitting parameters) is determined. For non-vertical straight lines the usual parameters (slope/y-axis intersect.

  • Platform: Matlab, Scripts
  • Publisher: Mathias Anton
  • Date: 13-02-2013
  • Size: 10 KB

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 Least Squares Rational Approximation, Electronic Transactions on Numerical Analysis, Volume 35, pp. 57-68, 2009..

  • Platform: Matlab, Scripts
  • Publisher: Carlos Borges
  • Date: 27-06-2013
  • Size: 10 KB

Like the finite difference method, the Taylor Series Least Squares method can be used to estimate derivatives. The TLS technique can be used to estimate derivatives from scattered or unstructured data. The Hermite Taylor Series Least Squares technique augments the TLS approach with information about the derivative of the function. The Constrained Hermite Taylor Series Least Squares technique augments the HTLS technique by constraining the least squares problem to match the derivative at the point of interest.

  • Platform: Matlab, Scripts
  • Publisher: Rob McDonald
  • Date: 23-04-2013
  • Size: 10 KB

The function LMFsolve.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago. LMFsolve is its essentially shortened version implemented in MATLAB and complemented by setting iteration parameters as options. This part of the code has been strongly influenced by Duane Hanselman's function mmfsolve.m. Next to it, a finite difference approximation of Jacobian matrix is appended to it as a nested subfunction as well as a function for dispaying of intermediate results.

  • Platform: Matlab, Scripts
  • Publisher: Miroslav Balda
  • Date: 01-02-2013
  • Size: 10 KB

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 algorithm was published in the paper "Image Deformation Using Moving Least Squares" by Scott Schaefer, Travis McPhail, Joe Warren.

  • Platform: Matlab, Scripts
  • Publisher: Gabriele Lombardi
  • Date: 03-03-2013
  • Size: 1157 KB

The function The LMFnlsq.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago (see the Reference). This version of LMFnlsq is its complete MATLAB implementation complemented by setting parameters of iterations as options. This part of the code has been strongly influenced by Duane Hanselman's function mmfsolve.m. Calling of the function is rather simple and is one of the following: LMFnlsq % for help output x = LMFnlsq(Eqns,X0); x = LMFnlsq(Eqns,X0); x = LMFnlsq(Eqns,X0); x = LMFnlsq(Eqns,X0,'Name',Value,.

  • Platform: Matlab, Scripts
  • Publisher: Miroslav Balda
  • Date: 05-06-2013
  • Size: 870 KB

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 a) global convergence is assured b) a solution is found even for a vertical line. The complete uncertainty matrix (i.e. variances AND covariance of the fitting parameters) is determined. For non-vertical straight lines the usual parameters (slope/y-axis intersect.

  • Platform: Matlab, Scripts
  • Publisher: Mathias Anton
  • Date: 01-01-2013
  • Size: 10 KB

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 dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package 'requireFEXpackage' included in TLS package.

  • Platform: Matlab, Scripts
  • Publisher: Ivo Petras
  • Date: 09-04-2013
  • Size: 10 KB

ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0 function 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 more general function called LINORTFITN has already been submitted to File Exchange (ID number: 16800) in October 2007 by Mr. F. Carr, my file is supposed to be used as a brief introduction to the analytical problem in an extremely simple case.

  • Platform: Matlab, Scripts
  • Publisher: Francesco Pozzi
  • Date: 12-06-2013
  • Size: 10 KB

POLYFIT_ROOTS Least-squares polynomial fit to data. [R,K] = POLYFIT_ROOTS(X, Y, N, TOL) finds the roots R and constant K so that the polynomial P(s) = K*(s-R(1))*(s-R(2))* ... *(s-R(N)) is the best least-squares fit to the data Y at points X. Argument TOL bounds the accuracy of the fit, and if ommited is taken to be 1e-14. A polynomial of degree n < N is returned if it fits the data with error less than TOL. See polyfit_roots_drv.m for examples..

  • Platform: Matlab, Scripts
  • Publisher: Amit Hochman
  • Date: 20-06-2013
  • Size: 82 KB

This function calculates the minimum-norm solution of the least squares problem A*X = B. Where A is low-rank matrix. The function LSMIN is faster then the matlab alternative X = pinv(A)*B. Uses the LAPACK functions (S,C,D,Z)EGLSS or (S,C,D,Z)EGLSD..

  • Platform: Matlab, Scripts
  • Publisher: Ivo Houtzager
  • Date: 12-01-2013
  • Size: 10 KB

Demonstration of least squares data fitting using both inverse and backslash operators. This example was developed for use in teaching modeling, simulation, and optimization in graduate engineering courses. A corresponding video is available at:.

  • Platform: Matlab, Scripts
  • Publisher: James Allison
  • Date: 26-06-2013
  • Size: 10 KB

Calculate a least squares arc fitted solution to a set of points stored on your device's storage. App scans for, and displays only PNEZD (comma delimited file - Point Number, Northing, Easting, Elevation, Description) formatted text files placed on your device. Each file should contain only those points to be least squares arc fitted. After initial calculation, select point from list to change weight of any point, or choose to include / exclude any point, and recalculate. List shows perpendicular offsets to calculated arc, weighting of each point, and if the point has been included in the solution.

This application calculates the angular and linear coefficients of a linear regression considering the Linear Least Squares methodology..

  • Platform: Android 2.x, Android 3.x, Android 4.4, Android 4.x
  • Publisher: Prof. Braga
  • Date: 22-03-2014
  • Size: 282 KB
New Reviews


Safe In Cloud

It is quite difficult to find any computer users nowadays who do not need to use the web, for any purpose. Whether it is for education or entertainment, the web is your best resource. You also need to use various online services for banking, ...


PictBear

Nowadays, a majority of PC users resort to digital image editing once in a while. It may be required for retouching image captured in smart phones or for creating an album in Facebook. For some people, tinkering with digital images is a pastime too. ...


Panda Cloud Cleaner

PC security has become a tricky and complicated subject both for home users and network supervisors, with complexity and risk factors multiplying over the years. Using a single antivirus app may not be enough anymore. That explains why many users ...


SnapCrab

Nearly every PC users need to take screenshots from time to time, whether it is for personal or professional needs. While using the basic Windows screenshot capture method is available, it is not adequate for everyone. When you want to capture ...


BitKiller

Dealing with various types of data efficiently holds the key to success in any computing task. Apart from generating new data and modifying existing files, it becomes necessary to delete existing files at times. While most users resort to using ...


SeaMonkey, Portable Edition

Using the Internet has become a necessity for a majority of people, including those who do not use a PC regularly. To browse web, stream video or download online content, people often resort to using various third party apps. For example, using ...


TuckAway Intelligent Email Organizer Pro

Using an email software allow you to do a number of things including managing your address lists, emails and even ending memos, documents and even virtual letters. You can also use it to manage your tasks easily. The email software comes in ...


WebAcappella

Web design sector has witnessed several trends and technological innovations affect website development in big ways. With time, designing websites has become easier. Nowadays, you can find web design software that nearly eliminates the need to ...


Zoolz

No serious PC user needs introduction about the need to backup data, both at home and workplace. There was a time when majority of people used external HDD or storage media to backup important data. However, local data backup has its limitations and ...


Driver Fusion

To keep your laptop and desktop running smoothly and get the best performance out of it, it is important to pay attention to some aspects. It is quite important to ensure your PC device drivers are updated. Components like motherboards, GPU and ...


New Downloads

extra1x2

if you like playing toto 1x2
games, eXtra1x2 software is a
a powerfull and efficinet tool
which will maximize your ...

Project Timer

Project Timer, a project timer
for the Windows taskbar
notification area. Project
Timer is a simple but powerful
windows ...

SmartVizor Variable Data
Batch Publishing Software

An advanced,stand
alone,powerful and extremely
easy to use printing tool that
allows you to create templates
with ...

Task Organizer

Useful tool that would not
just show how balanced your
life is, but also help you
make it more harmonious.

Devart ODBC Driver for
Firebird

Devart ODBC Driver for
Firebird provides
high-performance and
feature-rich connectivity
solution for ODBC-based ...

PDF Content Split SA

This is an ideal product if
you had for example a PDF
statement that needed
splitting up on account
number, PDF Content ...

Handy Backup Small Server

Handy Backup Small Server is a
full-featured backup solution
for Windows Server
2016/2012/2008. Provides
backup of files, ...

Metadata++

Edit, display, modify, add
metadata to any file by
creating sidecars.

Altova MobileTogether
Designer

MobileTogether Designer is a
unique development tool for
building data-centric apps for
all platforms. Native apps are
...

Convert XLS

Fast, accurate and powerful,
'Convert XLS' is the
comprehensive Excel/CSV/TXT
conversion tool. Convert
to/from Excel, ...