Numerical Tensor Methods: Tensor Trains in Mathematics and Computer Science

By Ivan Oseledets

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.

• Format: Paperback
• Language: English
• ISBN: 3110461625
• ISBN13: 9783110461626
• Release Date: July 2025
• Publisher: de Gruyter
• Length: 216 Pages
• Grade Range: Postsecondary