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

Algorithms are turning up in the most unlikely places, promising to assert mathematical probability into corners of our lives where intuition, instinct and hunches have long held sway.

When an algorithm is displayed in a program, it is difficult to imagine the program of the algorithm to be executed because the concept of the algorithm itself is complicated and partly because of ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

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 ...

DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...

The basic algorithm used to make a matching between applicants and programs is fairly straightforward. An applicant — Alice — starts by applying to her first-choice program.

Dandelion has developed this program under a patient privacy-first, open access model, to make it accessible to as many algorithm developers as possible at no cost.

The program, known in Jordan as Takaful, is meant to solve a real problem: The World Bank provided the Jordanian state with a multibillion-dollar poverty relief loan, but it’s impossible for the ...