Numerical Tensor Methods
pCovering 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. /p
| Autor: | Oseledets, Ivan |
|---|---|
| EAN: | 9783110461626 |
| Sprache: | Englisch |
| Seitenzahl: | 200 |
| Produktart: | kartoniert, broschiert |
| Verlag: | De Gruyter |
| Untertitel: | Tensor Trains in Mathematics and Computer Science |
| Schlagworte: | Numerische Mathematik Tensorrechnung Lineare Algebra Tensor Festkörperphysik Maschinelles Lernen Differentialgleichung |
| Größe: | 170 × 240 |
