A set of codes in MATLAB for ODE reconstruction using least-square method
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Updated
Nov 30, 2023 - MATLAB
A set of codes in MATLAB for ODE reconstruction using least-square method
implementation of least squares method and power method for finding dominant eigenvalue and eigenvector
Regularized least-squares algorithm over the empirical risk minimization
Analysis of income inequality and pollution (water and air) in India.
Fitting data using a polynomial obtained by the Least Squares Method
Programming assignment code of Computational Statistics taught at IIT Kharagpur by Prof. Swanand Ravindra Khare
it's a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in which there are more equations than unknowns)
Projects for Systems Modeling & Simulation Course / Aristotle University of Thessaloniki / Summer Semester 2021
Source Code for 'Robust Supervised and Semisupervised Least Squares Regression Using ℓ $$_{2,p}$ -Norm Minimization' (T-NNLS)
Transdimensional Predictive Least Squares for Online Feature Selection
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
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