Matches pairs of reference and move points with a transformation matrix in a Autodesk Maya DG node.
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Updated
Apr 10, 2017 - C++
Matches pairs of reference and move points with a transformation matrix in a Autodesk Maya DG node.
Code for tutorial on how to use Eigen's LM optimization
A Comprehensive AX = XB Calibration Solvers in Matlab
Match sparse to dense animCurves in Autodesk Maya
Gaussfitter! Fitting 2D gaussians. Used to be on agpy
Low level Haskell bindings to the C levmar (Levenberg-Marquardt) library
An R Package for Fitting Functional Models to 2-Dimensional Data
A collection of python implementations using SWIG, Instant, F2PY... Optimization like Least Squares Levenberg-Marquardt. Boundary Value problem solvers. Integration Simpson/Trapezoidal. Interpolation like Cubic spline. Tridiagonal/pentadiagonal system of equations solver. Linear algebra like Matrix inversion (Gauss-Jordan) and much more
A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training
Finding the Projection matrix of a camera using Zhang's algorithm and optimizing using LM
Package lm solves non-linear least squares problems using the Levenberg-Marquardt method.
A malloc-free Levenberg-Marquardt optimizer for nonlinear least squares regression
Gauss-Newton solver for EXOTica. This is now part of upstream EXOTica as LevenbergMarquardtSolver. You may use this to experiment with Newtonian like solvers or as blueprint for your own solver implementation.
Python implementation of general nonlinear optimizer.
An implementation of the Levenberg-Marquardt algorithm
Conan recipe for the levmar library: http://users.ics.forth.gr/~lourakis/levmar/
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