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) .

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume.

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 ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

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 ...

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 techniq ...