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

Another strand of research has revisited the max-vertex-cover problem, leveraging linear programming and greedy algorithms to refine performance guarantees.

In this module, you will learn about dynamic programming as a design principle for algorithms. We will provide a step-by-step approach to formulating a problem as a dynamic program and solving these ...

Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

To cover the use of mathematical programming models in practice, and an introduction to the theory and computational methods, as described under the headings of the lecture courses below.

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

They have helped us to understand the theoretical foundations of algorithms and to chart the course for research and practice in compilers and programming language design.

Programming Systems & Software Engineering research at Drexel University's College of Computing & Informatics (CCI) focuses on improving the design, construction, and maintenance of software systems, ...

Design-build firm Cover, which uses algorithms to create customised backyard dwellings, has completed its first project: a small studio in Los Angeles.