This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

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) .

Ever wondered how computers multiply huge numbers with hundreds or even thousands of digits? The process may seem simple, but ...

An algorithm is presented for the solution of mixed integer programming problems. The method was developed to solve primarily those programming problems which contain a large number of continuous ...

At CppCon 2014, Herb Sutter gave a talk about lock-free programming in C++ where he provided the fundamental concepts of lock-free programming, and presented three algorithms to show lock-free ...

We propose a dynamic programming algorithm for the one-dimensional Fused Lasso Signal Approximator (FLSA). The proposed algorithm has a linear running time in the worst case. A similar approach is ...