MathWorks - Curve Fitting Toolbox
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The Curve Fitting Toolbox is a collection of MATLABŪ functions that provides a central access point for curve fitting applications. The toolbox provides routines for preprocessing data, as well as creating, comparing, analyzing, and managing models. The functionality in the Curve Fitting Toolbox is available through an intuitive visual interface or at the command line. In addition, toolbox functions are implemented in the open MATLAB language. This gives you access to the source code, which allows you to learn from and customize existing algorithms or develop your own.
Submitted May 06, 2001
Updated Aug 12, 2004
by udyant
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| MathWorks - Spline Toolbox
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The Spline Toolbox is a collection of MATLABŪ functions for data fitting, interpolation, extrapolation, and visualization. (Splines are smooth piecewise polynomials that can be used to represent functions over large intervals, where it would be impractical to use a single approximating polynomial.) All Spline Toolbox functions, including algorithms available through the GUI, are implemented in the open MATLAB language.
Submitted May 06, 2001
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| ENTOOL
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ENTOOL is a MATLAB Toolbox for ensemble regression modelling. Various models have been implemented so far, including neural networks, radial basis functions, k-nearest neighbour models, multivariate adaptive regression splines, polynomial- and linear regression models, etc.
Submitted Feb 10, 2003
Updated Jul 11, 2006
by Felix
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| fitplane.m
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Fitting of a plane or hyperplane to a set of points.
Submitted Jul 22, 1999
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| interpl.m
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1-D linear interpolation. YI = INTERPL(X,Y,XI) returns vector YI containing elements corresponding to the elements of XI and determined by linear interpolation within vectors X and Y. INTERPL is much faster than TABLE1 and INTERP1 as it uses a mex-file for the actual computation.
Submitted Aug 13, 1999
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| Ezyfit Toolbox - A free curve fitting toolbox for Matlab
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The Ezyfit toolbox for Matlab enables you to perform simple curve fitting of one-dimensional data using arbitrary (non linear) fitting functions. It adds a new menu to your figure windows, which allows you to easily fit your data with predefined or user-defined fit equations, including interactive selection of your data (outliers removing). This toolbox also provides a set of command-line functions to perform 'programmatically' curve fitting: you just have to type something like showfit('c+a/x^n') and EzyFit gives you the values for c, a and n and shows you the curve!
Submitted Oct 06, 2005
by F. Moisy
Updated Oct 27, 2006
by F Moisy
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| interpm.m
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Interpolation between rows and columns of a matrix.
Submitted Jul 19, 1999
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| Fitting Polynomial Models to Data
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It is common engineering practice to "fit a line" to a set of data in order to determine some useful parameter in a mathematical model or perhaps to generate a calibration curve. . .
Submitted Jun 08, 2005
by MATLAB Central Admin
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| fillmiss.m
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Interpolates missing values of matrix M (marked by NaN) from a set of nearest available elements.
Submitted Jul 19, 1999
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| Sparse Grid Interpolation Toolbox
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The Sparse Grid Interpolation Toolbox is a Matlab
toolbox for recovering (approximating) expensive,
possibly high-dimensional multivariate functions. It
includes hierarchical sparse grid interpolation
algorithms based on both piecewise multilinear and
polynomial basis functions. Sparse grids are
superior to conventional (full) tensor-product grids
due to a significant reduction of the support nodes.
The asymptotic error decay of full grid interpolation
is preserved up to a logarithmic factor provided
that the objective function is smooth enough.
The toolbox also includes efficient dimension-
adaptive algorithms that automatically detect full
or partial separability of the objective model,
thereby performing well even for large problem
dimensions d > 10 (up to several hundreds,
depending on the
problem).
Treatment of models with multiple
output parameters (possibly several hundreds) is
also possible.
Since version 3.5, accurate gradients can be
computed at very low additional cost.
Since version 4.0, efficient algorithms are provided
to search the interpolant for minima/maxima.
Since version 5.0, numerical integration using
sparse grids is supported (including Gauss-
Patterson sparse grid).
Submitted Jan 17, 2006
by Andreas Klimke
Updated Jan 29, 2008
by Andreas Klimke
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| fitline.m
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Fitting a straight line through data points specified by vectors X and Y.
Submitted Jul 22, 1999
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| ZipInterp - Multidimensional Interpolator
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ZipInterp provides general-purpose and advanced capabilities for N-dimensional interpolation. In its most basic usage mode, it allows multidimensional array indexing with fractional indices. Advanced capabilities include bias compensation, gradient calculation, inverse function evaluation, and interpolation on non-uniform ("non-plaid") coordinate maps. A demo package and product documentation can be freely downloaded.
Submitted Apr 14, 2006
by Ken Johnson
Updated Apr 17, 2006
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| LibLip multivariate scattered data approximation toolbox
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LibLip is a Matlabtoolbox, which provides many methods to interpolate scattered data (with or without preprocessing) by using only the data itself and one additional parameter - the Lipschitz constant (which is basically the upper bound on the slope of the function). The Lipschitz constant can be automatically estimated from the data.
LibLip also provides approximation methods using locally Lipschitz functions.
If the data contains noise, it can be smoothened using special techniques which rely on linear programming. Lipschitz constant can
also be estimated from noisy data by using sample splitting and cross-validation.
In addition LibLip also accommodates monotonicity and range constraints. It is useful for approximation of functions that are known to be monotone with respect to all or a subset of variables, as well as monotone only on parts of the domain. Range constraints accommodate non-constant bounds on the values of the data and the interpolant.
Submitted Jan 08, 2007
by Gleb Beliakov
Updated Jan 09, 2007
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| Recursive Zonal Equal Area Sphere Partitioning Toolbox
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The Recursive Zonal Equal Area (EQ) Sphere Partitioning Toolbox is a suite of Matlab functions for use in exploring different aspects of EQ sphere partitioning.
The functions are grouped into the following groups of tasks:
1. Create EQ partitions
2. Find properties of EQ partitions
3. Find properties of EQ point sets
4. Produce illustrations
5. Test the toolbox
6. Perform some utility function
Submitted Dec 13, 2006
by Paul Leopardi
Updated Dec 15, 2006
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DACE Toolbox
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From DTU - IMM:
DACE, Design and Analysis of Computer Experiments, is a Matlab toolbox for working with kriging approximations to computer models.
Typical use of this software is to construct a kriging approximation model based on data from a computer experiment, and to use this approximation model as a surrogate for the computer model.
The software also addresses the design of experiment problem, that is choosing the inputs at which to evaluate the computer model for constructing the kriging approximation.
Submitted May 09, 2008
by Thierry Dalon
Updated May 12, 2008
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