linear-least-squares

There are 0 repository under linear-least-squares topic.

DynAdjust
icsm-au / DynAdjust
Least squares adjustment software
least-squares partial-least-squares nonlinear-least-squares weighted-least-squares linear-least-squares xsd geodesy geodesyml reference-frame surveying geoid generic-mapping-tools network-segmentation fast tbb multithreading mkl xercesc
Language:C++ 68
lumeilevel / NNLS
Accelerated Proximal Gradient (APG) algorithm implementation for Nuclear Norm regularized linear Least Squares problem (NNLS).
accelerated-proximal-gd apg linear-least-squares nuclear-norm proximal-gradient-method
Language:MATLAB 2
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
Language:JavaScript 1
PouriaAzadehR / LA-Linear-Equation-Solver
LinearEquationsSolver provides a comprehensive solution for solving linear equations using the principles of linear algebra.
linear-algebra linear-equation-solver linear-least-squares
Language:Python 1
rogerfraser / DynAdjust
Least squares adjustment software
least-squares partial-least-squares nonlinear-least-squares weighted-least-squares linear-least-squares xsd geodesy geodesyml reference-frame surveying geoid generic-mapping-tools network-segmentation fast tbb multithreading mkl xercesc
Language:C++ 1
emreyilmaztr / Numerical-Optimization
Some numerical optimization method in Python
line-search linear-least-squares preconditioned-gradient-descent quasi-newton-method trust-region-methods unconstrained-optimization
Language:Jupyter Notebook 0
HighlyCaffeinatedSloth / CS417-CPU-Semester-Project
CPU temperature data computation project
eigen linear-interpolation linear-least-squares
Language:C++ 0
RohanKarthikeyan / Bjorck-Duff
Code scripts for implementing Bjorck-Duff's algorithm.
linear-least-squares sparse-matrices suitesparse
Language:MATLAB 0
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.
sampling-designs maximum-likelihood-estimation bootstrap-sampling parametric-inference nonparametric-statistics analysis-of-variance linear-least-squares categorical-data bayesian-inference
Language:R