To address this problem, we are working with leading graph analytics experts and high-performance computing experts in the GraphBLAS Forum to derive an “interface” that represents a separation of ...

A revision of an earlier DI using three-discrete solution interface a PWM to switching regulator and a method to decrease settling time.

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 ...

Graphene is considered one of the most important breakthroughs in material science since its discovery. This “wonder material” was widely overhyped, and still hasn’t lived up to its ...

OpenAI on Friday unveiled a new artificial intelligence system, OpenAI o3, which is designed to “reason” through problems involving math, science and computer programming.

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

A study says that engineers who use the popular AI programming assistant GitHub Copilot don't experience any significant gains in efficiency.

They solve industrial-scale problems all the time,” sometimes with tens of thousands of variables, he said. Integer [Linear] Programming Algorithms for integer programming often take a first stab at a ...

Yet, while coding as we know it is indeed facing disruption, the creative, problem-solving essence of computer programming is likely to remain a largely human endeavor for the foreseeable future.

We assume that the k -linear factors of the upper level problem and the l -linear factors of the lower level problem to be non-negative. In this paper, we propose an algorithm based on branch-and-cut ...