Therefore, you may want to enhance your skills and learn other methods of linear programming, such as the simplex method, the dual problem, or the branch-and-bound method.

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

Gradient Descent: This method involves iteratively updating the parameters of the regression model to minimize the cost function, which measures the difference between predicted and actual values.

Solving non-linear equation is perhaps one of the most difficult problems in all of numerical computations, especially in a diverse range of engineering applications. The convergence and performance ...

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 Probability, 15, 2172-2202. https: ...