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This unique book on ordinary differential equations addresses practical issues of composing and solving differential equations by demonstrating the detailed solutions of more than 1,000 examples. The ...
Abstract: The technique of solving differential equations using Physics-Informed Neural Networks (PINNs) has received extensive attention and application. However, employing neural networks with ...
This work introduces a Python implementation of solution of non-liner PDEs arising in the process of arterial blood flow using DeepXDE. The proposed deep learning approach analyzes perturbations in ...
Abstract: In this paper, a novel approach leveraging artificial neural networks is introduced to approximate solutions for partial differential equations. The one ...
This is a twenty-first century book designed to meet the challenges of understanding and solving interdisciplinary problems. The book creatively incorporates “cutting-edge” research ideas and ...
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