Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

If supply chain leaders fail to leverage geodesic AI models, they’ll be less prepared to weather the storm whenever disruptions hit.

We identify a novel class of distributed optimization problems, namely a networked version of abstract linear programming. For such problems we propose distributed algorithms for networks with various ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

This paper presents a new method for solving a linear programming problem, which is an extended version of the one previously presented by the author. The optimal solution of a linear programming ...

With NP-complete problems you could discover a fast algorithm to solve Sudoku puzzles that could also break the encryption schemes that protect our digital economy.

Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

Mathematician Tom Crawford explains what P versus NP means – and what makes the problem so fiendishly difficult to solve ...