A computational revolution unleashed the power of artificial neural networks. At the heart of that revolution is automatic differentiation, which calculates the derivative of a performance measure ...
Abstract: Cellular automata offered a promising modeling approach to simulate many complex systems. But researchers difficultly design suitable rules for models about real phenomena. And there is rich ...
The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging from mechanistic models grounded in biophysics, to phenomenological descriptions of neural ...
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Partial differential equations (PDEs) are among the most ubiquitous tools used in modeling problems in nature. However, solving high-dimensional PDEs has been notoriously difficult due to the “curse ...
Department of Mathematics, School of Secondary Education Science Programme, Cross River State College of Education, Akamkpa, Nigeria. equations are those which relate one on more functions and their ...
Abstract: The solution of partial differential equations (PDE) arises in a wide variety of engineering problems. Solutions to most practical problems use numerical analysis techniques such as ...
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