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 ...

We will formally cover divide and conquer algorithms as a design scheme and look at some divide and conquer algorithms we have encountered in the past. We will learn some divide and conquer algorithms ...

Graph cover problems form a critical area within discrete optimisation and theoretical computer science, ... leveraging linear programming and greedy algorithms to refine performance guarantees.

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. MG4C6.1 ...

GCSE Computer Science Computational thinking, algorithms and programming learning resources for adults, children, parents and teachers. BBC Homepage Skip to content ...

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 ...

Jeremy Johnson: Computer algebra, design and analysis of algorithms, programming languages and compilers, automated performance tuning, algorithms for DSP, parallel processing, and high-performance ...