Curve Fitting Linux

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...


Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...


Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...


Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...


Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...


Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular...


Platforms: Windows, Other

peak-o-mat is a curve fitting program aimed at the fast and easy fitting of spectroscopic data, especially if you face a large amount of similar spectra.


Platforms: Windows, Mac, Linux

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

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned.clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the...


Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of...


Platforms: Matlab

Censoring / clipping exampleOutlier detection exampleOrthogonal regression exampleGLM (Poisson regression / logistic regression) exampleRobust regression exampleFeature selection exampleCommon slope problem example


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

Least Square method is common curve fitting approch. But for special some function, the tradiational Least Square method is hard to get enough accurancy dueo to gobal approximation. Moving Least Square(MLS) can fit any differentiable function through local approximation.


Platforms: Matlab

Least Square method is common curve fitting approch. But for special some function, the tradiational Least Square method is hard to get enough accurancy dueo to gobal approximation. Moving Least Square(MLS) can fit any differentiable function through local approximation.Here I share MLS2D...


Platforms: Matlab

LABEL is a generalization of BWLABEL: BWLABEL works with 2-D binary images only, whereas LABEL works with 2-D arrays of any class. L = LABEL(I,N) returns a matrix L, of the same size as I, containing labels for the connected components in I. Two adjacent components (pixels), of respective indexes...


Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques.


Platforms: Matlab

CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you...


Platforms: Windows, Windows 7, Other

CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you...


Platforms: Windows, Windows 7, Other