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Gaussian Uncorrelated Manually (no grad.) MAP No No No OpenTURNS; UQLab [17] Proprietary: MATLAB: Yes No No ND No Gaussian Correlated No MAP No No No UQLab; ooDACE [18] Proprietary: MATLAB: Yes No No ND No Gaussian Correlated No MAP No No No ooDACE; DACE: Proprietary: MATLAB: Yes No No ND No Gaussian No No MAP No No No DACE; GpGp: MIT: R: No No ...
GPOPS-II (pronounced "GPOPS 2") is a general-purpose MATLAB software for solving continuous optimal control problems using hp-adaptive Gaussian quadrature collocation and sparse nonlinear programming.
PottersWheel is a MATLAB toolbox for mathematical modeling of time-dependent dynamical systems that can be expressed as chemical reaction networks or ordinary differential equations (ODEs). [1] It allows the automatic calibration of model parameters by fitting the model to experimental measurements.
Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...
We consider estimating the density of the Gaussian mixture (4π) −1 exp(− 1 ⁄ 2 (x 1 2 + x 2 2)) + (4π) −1 exp(− 1 ⁄ 2 ((x 1 - 3.5) 2 + x 2 2)), from 500 randomly generated points. We employ the Matlab routine for 2-dimensional data. The routine is an automatic bandwidth selection method specifically designed for a second order ...
The primary application of the Levenberg–Marquardt algorithm is in the least-squares curve fitting problem: given a set of empirical pairs (,) of independent and dependent variables, find the parameters of the model curve (,) so that the sum of the squares of the deviations () is minimized:
GPML: A comprehensive Matlab toolbox for GP regression and classification; STK: a Small (Matlab/Octave) Toolbox for Kriging and GP modeling; Kriging module in UQLab framework (Matlab) CODES Toolbox: implementations of Kriging, variational kriging and multi-fidelity models (Matlab) Matlab/Octave function for stationary Gaussian fields
BuTools a MATLAB and Mathematica script for fitting phase-type distributions to 3 specified moments; momentmatching a MATLAB script to fit a minimal phase-type distribution to 3 specified moments [6] KPC-toolbox a library of MATLAB scripts to fit empirical datasets to Markovian arrival processes and phase-type distributions. [7]