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 ...

Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems.

Ever wondered how computers multiply huge numbers with hundreds or even thousands of digits? The process may seem simple, but it gets incredibly complex as numbers grow. In this video, we explore the ...

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 ...

Second, the conversion to a single-objective optimization problem involves additional constraints. Third, since most real-world goal programming problems involve nonlinear criterion functions, the ...