Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and ...

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

1 Describe key models of computation and associated programming language paradigms based on them. 2 Evaluate the advantages and disadvantages of various programming languages for different ...

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

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 ...

When used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming environment.

Interfaces, Vol. 20, No. 4, The Practice of Mathematical Programming (Jul. - Aug., 1990), pp. 133-149 (17 pages) The auction algorithm is an intuitive method for solving the classical assignment ...

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 ...