Lift, Drag, Computational Fluid Dynamics, Energy Analysis, L/D Efficiency Share and Cite: Suppes, A. and Suppes, G. (2025) ...
Abstract: This paper proposes a novel iterative gradient-based optimization approach aimed at achieving more precise and streamlined approximations for the Gaussian Q function—an essential element in ...
Abstract: Operation optimization of industrial processes is essential for high-quality industrial development, which involves production, quality, cost, safety, and sustainability. However, the ...
Without internal work ( u = 0), convergence of automatic operations to controlled standards occurs only if the memory parameter λ is sufficiently high and the sensitivity parameter g' g ′ is moderate.
Efficiently solving constrained optimization problems is crucial for numerous real-world applications, yet traditional solvers are often computationally prohibitive for real-time use. Machine learning ...