Companies have a new toolkit for solving complex problems in teams that borrows its approach from computer science, according to MIT Sloan. Getting started with a complex problem can seem daunting ...

Sheldon M. Belenson, Kailash C. Kapur, An Algorithm for Solving Multicriterion Linear Programming Problems with Examples, Operational Research Quarterly (1970-1977 ...

Algorithmic Optimization: Precision Problem-Solving Claude 3.7 Sonnet excels in algorithmic problem-solving, particularly in areas like recursive and dynamic programming.

Algorithms have become a buzzword in policy circles – but in many cases, using the term “algorithm” alone is akin to the common journalist errors of making every armored vehicle a tank or assault ...

With regulators increasingly focusing on algorithmic discrimination, human intervention in predictive model programming and artificial intelligence (AI) will be more important than ever. Although ...

The author presents a rapidly convergent algorithm to solve the general portfolio problem of maximizing concave utility functions subject to linear constraints. The algorithm is based on an iterative ...

Using this technique brought the solving time down to a day, three times the speed of earlier models. This type of algorithmic problem solving isn't just for puzzles.