When used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming environment.

Advanced study in models of computation, programming languages and algorithms with a specific focus on concurrent programming. The course includes models of computation, programming language paradigms ...

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.

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

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

Probabilistic Programming and Inference Algorithms Publication Trend The graph below shows the total number of publications each year in Probabilistic Programming and Inference Algorithms.

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, ...