This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

On August 27, 2025, Lee Robinson, the head of AI education at Cursor, released a programming tutorial aimed at beginners. This tutorial is designed to help developers leverage AI tools to improve ...

1 Describe key models of computation and associated programming language paradigms based on them. 2 Evaluate the advantages and disadvantages of various programming languages for different ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

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

GCSE Computer Science Computational thinking, algorithms and programming learning resources for adults, children, parents and teachers.

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

If you are doing X11, for example, you can go low-level or pick any of a number of high-level libraries. The tutorial assumes you understand C and basic Linux programming. It has two sections, really.

Interfaces, Vol. 20, No. 4, The Practice of Mathematical Programming (Jul. - Aug., 1990), pp. 133-149 (17 pages) The auction algorithm is an intuitive method for solving the classical assignment ...