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linear-least-squares

Here are 9 public repositories matching this topic...

DynAdjust

icsm-au / DynAdjust

Least squares adjustment software

fast xsd multithreading generic-mapping-tools least-squares geodesy tbb geodesyml mkl surveying xercesc geoid reference-frame partial-least-squares nonlinear-least-squares linear-least-squares weighted-least-squares network-segmentation

Updated May 19, 2023
C++

lumeilevel / NNLS

Accelerated Proximal Gradient (APG) algorithm implementation for Nuclear Norm regularized linear Least Squares problem (NNLS).

linear-least-squares accelerated-proximal-gd nuclear-norm apg proximal-gradient-method

Updated May 14, 2023
MATLAB

diversen / simple-linear-regression

nodejs module for calculating a simple regression line from bivariate data using the 'linear least squares'

linear-regression linear-least-squares

Updated Jul 3, 2018
JavaScript

PouriaAzadehR / LA-Linear-Equation-Solver

LinearEquationsSolver provides a comprehensive solution for solving linear equations using the principles of linear algebra.

linear-algebra linear-least-squares linear-equation-solver

Updated Jun 25, 2023
Python

rogerfraser / DynAdjust

Least squares adjustment software

fast xsd multithreading generic-mapping-tools least-squares geodesy tbb geodesyml mkl surveying xercesc geoid reference-frame partial-least-squares nonlinear-least-squares linear-least-squares weighted-least-squares network-segmentation

Updated May 8, 2024
C++

RohanKarthikeyan / Bjorck-Duff

Code scripts for implementing Bjorck-Duff's algorithm.

suitesparse sparse-matrices linear-least-squares

Updated Aug 4, 2023
MATLAB

emreyilmaztr / Numerical-Optimization

Some numerical optimization method in Python

line-search unconstrained-optimization linear-least-squares trust-region-methods quasi-newton-method preconditioned-gradient-descent

Updated Sep 4, 2021
Jupyter Notebook

HighlyCaffeinatedSloth / CS417-CPU-Semester-Project

CPU temperature data computation project

eigen linear-interpolation linear-least-squares

Updated Oct 30, 2021
C++

devosmitachatterjee2018 / Statistical_Inference

The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

bayesian-inference maximum-likelihood-estimation categorical-data nonparametric-statistics analysis-of-variance linear-least-squares bootstrap-sampling parametric-inference sampling-designs

Updated Nov 22, 2021
R

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