Abstract: Analytically solving complex or large-scale differential equations is often difficult or even impossible, making numerical integration methods indispensable. However, as all numerical ...
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Introduction: Approximate numerical comparison is often influenced by various non-numerical sensory cues, yet whether they act via uniform inhibition (inhibitory control theory) or cue-weighted ...
Abstract: In electromagnetic transient (EMT) simulations of electrical and electronic circuits, the compact scheme (CS) is one of the numerical integration methods that can suppress numerical ...
What if you could automate your most tedious tasks, integrate innovative AI, and design workflows that practically run themselves, all without writing a single line of code? Enter n8n, a platform that ...
ABSTRACT: A system of ordinary differential equations (ODEs) is produced by the semi-discretize method of discretizing the advection diffusion equation (ADE). Runge-Kutta methods of the second and ...
Biophysical modeling serves as a valuable tool for understanding brain function by linking neural dynamics at the cellular level with large-scale brain activity. These models are governed by ...
ABSTRACT: This work focuses on the development and analysis of a financial system using advanced mathematical modeling techniques. Starting from an ordinary financial system, we extend it to a ...
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