Numerical Tensor Methods

Tensor Trains in Mathematics and Computer Science

Ivan Oseledets (Autor)

Buch | Softcover

XVI, 200 Seiten

2025
De Gruyter (Verlag)
978-3-11-046162-6 (ISBN)

Infos

lt;p>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.

Autor

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

Produkt-Details

• Erscheinungsdatum: 10.05.2022
• Reihe/Serie: De Gruyter Textbook
• Zusatzinfo: 20 b/w and 15 col. ill.
• Verlagsort: Berlin/Boston
• Sprache: englisch
• Maße: 170 x 240 mm
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Schlagworte: Differentialgleichung • Festkörperphysik • Lineare Algebra • Maschinelles Lernen • nicht rabattbeschränkt/Sortimentstitel • Numerische Mathematik • Tensor • Tensorrechnung
• ISBN-10: 3-11-046162-5 / 3110461625
• ISBN-13: 978-3-11-046162-6 / 9783110461626
• Zustand: Neuware