Learn how to apply, practice, and enhance the graphical method of linear programming with tips and tricks for instructors and students.

A step-by-step guide to get started with Applied Machine Learning - khanhnamle1994/applied-machine-learning ...

This repository contains examples of implementing linear regression using gradient descent and the method of least squares with Singular Value Decomposition (SVD) pseudoinverse. Both methods are ...

Some New Iterative Algorithms for Solving One-Dimensional Non-Linear Equations and Their Graphical Representation Solving non-linear equation is perhaps one of the most difficult problems in all of ...

This paper focuses on using the Newton-Raphson method to solve the power-flow problems. Since the most computationally demanding part of the Newton-Raphson method is to solve the linear equations at ...

Gobet, E., Lemor, J.-P. and Warin, X. (2005) A Regression-Based Monte Carlo Method to Solve Backward Stochastic Differential Equations. The Annals of Applied ...