A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

Breakthroughs in artificial intelligence are continuously reshaping the way we tackle complex challenges, and a newly ...

The Simplex algorithm is a well known method to solve linear programming (LP) problems. In this paper, we propose a parallel implementation of the Simplex on a CPU-GPU systems via CUDA. Double ...

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and decision analysis theory. There were a few of the more theoretical learnings that ...

Features Solve linear programming problems using the Simplex method. Intuitive GUI for inputting objective functions and constraints. Visualize results and optimization steps.

Examples were found on which simplex ran in exponential time. Eventually, polynomial-time algorithms for linear programming were found, but the simplex method continued to be used — and in many ...

In this paper, we propose a new heuristic strategy to solve linear integer mathematical problems. The strategy begins by finding the optimal solution of the continuous associated problem and the ...