Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

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

Introduction to theory of algorithms and basics of Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

These algorithms have a small theoretical drawback; namely, the number of arithmetic steps depends on the size of the input numbers. We present a polynomial linear programming algorithm whose number ...

Manuel S. Santos, , Analysis of a Numerical Dynamic Programming Algorithm Applied to Economic Models, Econometrica, Vol. 66, No. 2 (Mar., 1998), pp. 409-426 ...

Introduction to theory of algorithms and basics of Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

Algorithms are now responsible for about 70 per cent of all trades in U.S. equities. They execute trades at speeds and volumes that were, until recently, simply unimaginable.

Thinking about getting good at competitive programming, especially on a platform like CodeChef? It can seem like ...