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Oseledets, Ivan

Numerical Tensor Methods

Tensor Trains in Mathematics and Computer Science

Series:De Gruyter Textbook

    600,00 € / $690.99 / £545.50*

    eBook (PDF)
    Publication Date:
    Copyright year:
    To be published:
    February 2021
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    • The first textbook in this vibrant field of numerics.
    • Methods enabling numerical solutions to notoriously difficult high-dimensional problems.
    • Numerics examples are available as a Jupyter notebook online.

    Aims and Scope

    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.


    24.0 x 17.0 cm
    xvi, 200 pages
    20 Fig.
    Type of Publication:
    Professional Book

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    Ivan Oseledets, Skolkovo Institute of Science and Technology and Institute of Numerical Mathematics RAS, Russia.

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