Titlebook: Deep Learning and Computational Physics; Deep Ray,Orazio Pinti,Assad A. Oberai Textbook 2024 The Editor(s) (if applicable) and The Author(

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書(shū)目名稱Deep Learning and Computational Physics影響因子(影響力)




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Textbook 2024y set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students.?.

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https://doi.org/10.1007/978-3-030-23541-3tion and natural language processing. But the last few years have also witnessed the emergence of machine learning (in particular deep learning) algorithms to solve physics-driven problems, such as approximating solutions to partial differential equations and inverse problems.

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Introduction,tion and natural language processing. But the last few years have also witnessed the emergence of machine learning (in particular deep learning) algorithms to solve physics-driven problems, such as approximating solutions to partial differential equations and inverse problems.

生來(lái)

Textbook 2024s strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms fo

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Siddhartha Asthana,Pushpendra Singhly used methods include finite difference/volume methods, finite element methods, spectral Galerkin methods, and also deep neural networks! To better appreciate some of these methods, especially deep neural networks, let us consider a simple model problem describing the scalar advection-diffusion problem in one-dimension.

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nterested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students.?.978-3-031-59347-5978-3-031-59345-1