A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations.

CS 52500 - Parallel Computing Parallel computing for science and engineering applications: parallel programming and performance evaluation, parallel libraries and problem-solving environments, models ...

There are two main approaches to problem-solving: vertical thinking and horizontal thinking. Let's look at case studies to understand the benefits of these approaches.

Discover how fuzzy programming methods, such as Chandra Sen's and statistical averaging, can convert multi-objective linear programming problems into single objective functions. Explore numerical and ...

Leaders face more complex decisions than ever in today’s volitile world. So how can they get them right? The answer lies in using AI as a problem-solving too say experts ...

Many practical problems can be formulated using integer programming. An Integer Linear Program (ILP) can be written as (1). In Richard et al. (2003), the authors present a simplex-based algorithm for ...

Introducing the Pivot Adaptive Method (PAM) - a faster variant of Gabasov's Adaptive Method (AM) for minimizing computation time. Explore the resolution of problems through successive tables and ...

This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy linear ...