gauss-newton-method

There are 1 repository under gauss-newton-method topic.

• clarkzinzow / Nonlinear-Optimization-Algorithms

  MATLAB implementations of a variety of nonlinear programming algorithms.

  nonlinear-programming-algorithmsnonlinear-optimization-algorithmswolfebfgsnewtonmatlab-implementationsalgorithmmatlabnonlinear-optimizationnonlinear-programmingnonlinearline-searchnewtons-methoddogleg-methodconjugate-gradientconjugate-gradient-descentgauss-newton-methodoptimizationoptimization-algorithms
  Language:MATLAB 172

• hahnec / torchimize

  numerical optimization in pytorch

  pytorchgauss-newtongauss-newton-methodlevenberg-marquardtlevenberg-marquardt-algorithmparallel-computingparallelgradient-descent
  Language:Python 139

• cashiwamochi / SimpleBundleAdjustment

  C++ implementation for Bundle Adjustment in 2-View

  computer-visionoptimizationbundle-adjustmentgauss-newton-method
  Language:C++ 51

• mcosovic / JuliaGrid.jl

  JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.

  power-systemsstate-estimationpower-flowmeasurementsdata-setgauss-newton-methodnewton-raphsonphasor-measurement-unitbad-dataoutlier-detectionweighted-least-squaresleast-absolute-valueobservability-analysissimulationsparseinvjuliajulia-languageoptimal-power-flowscadawams
  Language:Julia 39

• Avinash793 / object-tracking-software

  Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

  tracking-algorithmgauss-newton-methodaffine-transformationcomputer-visionlucas-kanade-algorithmlucas-kanade-trackerobject-trackingopencvopencv4python3video-object-tracking
  Language:Python 36

• cashiwamochi / LK20_ImageAlignment

  C++ implementation of Lucas-Kanade-Image-Alignment

  computer-visioncpphomography-matrixgauss-newton-methodlucas-kanadeimage-alignment
  Language:C++ 35

• mcosovic / MATGRID

  MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.

  power-systemsstate-estimationpower-flowmeasurementsdata-setgauss-newton-methodnewton-raphsonphasor-measurement-unitbad-dataoutlier-detectionweighted-least-squaresleast-absolute-valueobservability
  Language:MATLAB 32

• DhyeyR-007 / Pose-Graph-SLAM

  Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively

  2d-slam3d-slamgauss-newton-methodgtsammappingmobile-roboticsnavigationpose-graph-optimizationpose-graph-slamslam-algorithmstrajectory-optimizationfactor-graph
  Language:Python 8

• giusenso / 2d-bearing-only-slam-least-squares

  2D bearing-only SLAM with least squares

  slamleast-squaresbearing2dprobabilistic-roboticsgauss-newton-method
  Language:MATLAB 8

• hahnec / optimizay

  collection of numerical optimization methods

  newtonoptimizationminimizationroot-findinggradientipynblevenberg-marquardtstochasticconjugate-gradientdescentexpectation-maximizationgauss-newtongauss-newton-methodimplementationlevenberg-marquardt-algorithmminimization-algorithmnewton-raphsonnewton-raphson-algorithmoptimization-algorithmsroot-finding-methods
  Language:HTML 8

• fangq / redbird

  Redbird - A Model-Based Diffuse Optical Imaging Toolbox

  algorithmsdiffuse-optical-tomographyfinite-element-methodsfnirsforward-simulationgauss-newton-methodinverse-problemsmedical-imagingnear-infrared-spectroscopyphysics-simulationreconstruction-algorithmregularization
  Language:MATLAB 7

• saugatkandel / sopt

  Second order optimization with automatic differentiation

  tensorflowgauss-newton-methodlevenberg-marquardt-algorithmreverse-modephase-retrievalptychography
  Language:Jupyter Notebook 7

• gmatilde / SGN

  An efficient and easy-to-use Theano implementation of the stochastic Gauss-Newton method for training deep neural networks.

  neural-networksoptimizationoptimization-algorithmsconvolutional-neural-networksnumerical-methodsstochastic-gradient-descentstochastic-optimizationsecond-order-optimizationgauss-newton-method
  Language:Jupyter Notebook 6

• omyllymaki / solvers

  Different type of solvers to solve systems of nonlinear equations

  optimizationalgorithmsfittinggradient-descentgauss-newtonevolutionary-algorithmslinear-algebrasolverssolve-equationsransacrobust-regressiongauss-newton-methodnumerical-optimizationregressionarmadillo
  Language:C++ 4

• cor3bit / somax

  Stochastic Second-Order Methods in JAX

  jaxmachine-learningsecond-order-optimizationgauss-newton-methodhessian-freenatural-gradientquasi-newtonstochastic-optimization
  Language:Python 3

• Reza219 / Incremental_SLAM

  MATLAB/Octave code and data for implementing the algorithms and reproducing the results of the paper: "Efficient Incremental SLAM via Information-Guided and Selective Optimization"

  gauss-newton-methodnonlinear-least-squaresslam-algorithmsincremental-optimization
  Language:MATLAB 3

• joelbengs / gauss_newton_optimization

  [Optimization Algorithms] Implementation of Nonlinear least square curve fitting using the Gauss-Newton method and Armijio’s line search.

  armijoconvex-optimizationgauss-newton-method
  Language:MATLAB 1

• marios2019 / Visual_Tracking

  model-basedobject-trackinggauss-newton-methoddistance-transform
  Language:C++ 1

• ParkerBarrett959 / NonlinearLeastSquares

  A C++ library for solving nonlinear least squares problems using Gradient Descent, Gauss-Newton and Levenberg-Marquardt solvers

  gauss-newton-methodgradient-descentleast-squareslevenberg-marquardtnonlinear-optimization
  Language:C++ 1

• neyudin / AcceleratedGNMethodEquations

  Code to conduct experiments for the paper Regularization and acceleration of Gauss-Newton method.

  optimizersnonlinear-equationsgauss-newton-methodpaper
  Language:Python 0

• neyudin / AdaptiveGNMethodEquations

  Code to conduct experiments for the paper Adaptive Gauss-Newton Method for Solving Systems of Nonlinear Equations.

  gauss-newton-methodnonlinear-equationsoptimizerspaper
  Language:Python 0

• neyudin / ModifiedGNMethodEquations

  Code to conduct experiments for the paper Modified Gauss-Newton method for solving a smooth system of nonlinear equations.

  optimizerspapernonlinear-equationsgauss-newton-method
  Language:Python 0

• pkhamchuai / Optimization

  Codes for optimization stuffs, i.e., parameter estimation using Gauss-Newton method, multiple shooting method

  gauss-newton-methodmultiple-shootingoptimizationparameter-estimation
  Language:Jupyter Notebook 0

• Lucca-Rodrigues-main / Unconstrained-Optimization-Classical-Methods-Search-and-Gradient

  This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for unconstrained optimization models: Steepest-Descent, Newton method, Gauss-Newton, Conjugate Gradient method, Fibonacci search, Golden-section search, Dichotomous search and Exhaustive search.

  conjugate-gradientdichotomic-serachexhaustive-searchfibonacci-searchgauss-newtongauss-newton-methodgolden-section-searchgradient-methodmatlabmatthews-and-daviesnewton-methodnonlinear-optimizationoptimizationprogrammingsteepest-descentunconstrained-optimization
  Language:MATLAB

• RamiroCope / OptimizationandDataFitting

  Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.

  optimization-algorithmsoverfittingleast-squaresautocorrelationnewtons-methodgauss-newton-methodnonlinear-optimization-algorithmsquadporgquadratic-programmingdata-fittingunconstrained-optimization
  Language:TeX

• robert-juang / Optimization

  Code related to Optimization Techniques

  basis-pursuitgauss-newton-methodjupyter-notebooklinear-programmingoptimizationquadratic-programming
  Language:Jupyter Notebook