Numerical Tensor Methods: Tensor Trains in Mathematics and Computer Science (de Gruyter Textbook) (Paperback)

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Description


Covering both theoretical foundations and applications in mathematics and engineering, this graduate textbook introduces numerical, tensor-based methods for tackling high-dimensional problems. Concepts known as tensor trains, matrix product states or hierarchical tensor networks have a range of applications in differential equations, multidimensional integration, machine learning, condensed matter physics, and theoretical chemistry.

About the Author


Ivan Oseledets, Skolkovo Institute of Science and Technology and Institute of Numerical Mathematics RAS, Russia.
Product Details
ISBN: 9783110461626
ISBN-10: 3110461625
Publisher: de Gruyter
Publication Date: June 30th, 2025
Pages: 216
Language: English
Series: de Gruyter Textbook