Learning C makes it easier to learn other programming languages, since many other languages share the same “roots.” Best for a taste of the Ivy League: Harvard’s CS50 ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

Nicholas A. Johnson, A Dynamic Programming Algorithm for the Fused Lasso and L₀-Segmentation, Journal of Computational and Graphical Statistics, Vol. 22, No. 2 (June 2013), pp. 246-260 ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

Technical Terms Probabilistic Programming: A programming paradigm that incorporates probabilistic models within code, enabling the direct representation and manipulation of uncertainty.