Unlock 16 creative solutions crafted to inspire and elevate your daily life in this thrilling video! Whether you're aiming to boost productivity, refine your organization skills, or simply inject ...
The Alaafin of Oyo, Oba Abimbola Akeem Owoade, has called on politicians to be pragmatic in finding solution to myriads of problems confronting the country. Oba Owoade said national growth and ...
Researchers from the Institute of Industrial Science, The University of Tokyo have applied stochastic optimal control theory to biological systems, studying how these systems behave. By using concepts ...
CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.
NOTE The rtc-tools repository has been migrated from gitlab to here; see migration from gitlab. RTC-Tools is an open-source Python package for simulation and optimization of cyber-physical systems. It ...
The global optimization of integer and mixed integer non-linear problems has a lot of applications in engineering. In this paper a heuristic algorithm is developed using line-up competition and ...
MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
Abstract: This paper presents a prediction-correction proximal method (PCPM) for the general non-smooth convex optimization problem with linear equality and inequality constraints. The proposed ...
The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...
DOWNERS GROVE, IL - Feb. 11, 2025 - Thomson Industries, Inc., a leading manufacturer of linear motion control solutions, has upgraded its online sizing and selection tool, making it easier than ever ...
Abstract: The quadratic multiple knapsack problem (QMKP) is a well-studied problem in operations research. This problem involves selecting a subset of items that maximizes the linear and quadratic ...