Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

DotNetExercises is a collection focused on programming techniques in C#/.NET/.NET Core, covering commonly used syntax, algorithms, techniques, middleware, libraries, and real-world case studies.

Computers can be used to help solve problems. However, before a problem can be tackled, it must first be understood. Computational thinking helps us to solve problems. Designing, creating and refining ...

Over at Dr. Dobbs, Rob Farber writes that, when used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming ...

We present an O(√n L)-iteration homogeneous and self-dual linear programming (LP) algorithm. The algorithm possesses the following features: • It solves the linear programming problem without any ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

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, ...