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portada Deep Learning and Computational Physics
Type
Physical Book
Year
2025
Pages
152
Format
Paperback
Dimensions
23.50 x 15.50 cm
ISBN13
9783031593475

Deep Learning and Computational Physics

Assad A. Oberai;Orazio Pinti;Deep Ray (Author) · Springer International Publishing AG · Paperback

Deep Learning and Computational Physics - Assad A. Oberai;Orazio Pinti;Deep Ray

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Synopsis "Deep Learning and Computational Physics"

The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits 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 for solving challenging problems in computational physics, thereby offering someone who is interested 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. 

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