ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

Neuronal oscillations play a crucial role in brain function, regulating processes such as perception, cognition, and motor control. These oscillations are characterized by frequencies that define ...

ABSTRACT: State-of-the-art antenna design and optimization (D/O) is increasingly being done using Global Search and Optimization (GSO) algorithms such as Ant Colony Optimization (ACO), Particle Swarm ...

Abstract: The Stochastic Nelder-Mead, a recently developed variant of the classic Nelder-Mead algorithm, is a direct search method for derivative-free, nonlinear and black-box stochastic optimization ...

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Abstract: The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Evolution ...

The latest revision to a technical specification introduced earlier this year defines an open mathematics semantics standard for numerical algorithm development. This update includes newly ratified ...