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) .

Goal programming is a very powerful technique for solving multiple objective optimisation problems. It has been successfully applied to numerous diverse real life problems. In this paper a Taboo ...

In a companion paper (Godfrey and Powell 2002) we introduced an adaptive dynamic programming algorithm for stochastic dynamic resource allocation problems, which arise in the context of logistics and ...

We will focus on studying basic algorithms at a finer level of detail and more advanced algorithms and data structures “Concrete” Mathematics: Solving Recurrences, Basic Combinatorics (review) and ...

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

A 2-qubit chip put online will allow anyone with a web browser to practise quantum programming and run basic algorithms in the nascent quantum cloud ...