Static program analysis is a cornerstone in verifying, optimising, and debugging modern software systems. By evaluating code without executing it, these techniques enable early detection of ...

Algorithm design strategies such as divide and conquer. Elementary techniques for analysis; asymptotic analysis, recursion equations, estimation methods, elementary combinatorial arguments.

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

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 ...

This paper presents convergence analysis of some algorithms for solving systems of nonlinear equations defined by locally Lipschitzian functions. For the directional derivative-based and 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 ...