Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Beijing’s metro could quietly carry freight during off-peak hours without new tunnels, a joint timetable–rolling-stock model ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Solid oxide fuel cells can generate electrical energy with electrical efficiency exceeding 50% and reduce pollutant emissions, particularly, when the fuel is hydrogen. They have numerous applications, ...

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Abstract: This article focuses on the distributed optimization problem of heterogeneous nonlinear multiagent systems with coupling constraints. By decoupling the design, the problem is transformed ...