This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor n

Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness

This monograph provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates their pro

Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy

This volume of lecture notes briefly introduces the basic concepts needed in any computational physics course: software and hardware, programming skills, linear