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Introduction to Tensor Network Methods

problem: it reviews the numerical renormalization group and then focuses on tensor network methods, from basic concepts to gauge invariant ones;

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Tensor Network Contractions

physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches;

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An Introduction to Differential Geometry

A solid introduction to the methods of differential geometry and tensor calculus, this volume is suitable for advanced undergraduate and;

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Tensor Numerical Methods in Scientific Computing

The most difficult computational problems nowadays are those of higher dimensions. This research monograph offers an introduction to tensor;

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Theory and Computation of Complex Tensors and its Applications

authors design the neural network model for the computation of the rank-one approximation of real tensors, a normalization algorithm to convert;

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Theory and Computation of Complex Tensors and its Applications

authors design the neural network model for the computation of the rank-one approximation of real tensors, a normalization algorithm to convert;

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Introduction To Diffusion Tensor Imaging

of DTI. In Introduction to Diffusion Tensor Imaging: And Higher Order Models, these concepts are explained through extensive use of illustrations;

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Tensor Network Contractions

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Introduction to Computational Chemistry

Introduction to Computational Chemistry 3rd Edition provides a comprehensive account of the fundamental principles underlying different;

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Tensor Numerical Methods in Quantum Chemistry

multidimensional integral-differential equations to 1D calculations. We explain basic tensor formats and algorithms and show how the orthogonal Tucker;

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Introduction to Diffusion Tensor Imaging

The concept of Diffusion Tensor Imaging (DTI) is often difficult to grasp, even for Magnetic Resonance physicists. Introduction to;

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An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases

This book introduces the reader to solving partial differential equations (PDEs) numerically using element-based Galerkin methods. Although;

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An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases

This book introduces the reader to solving partial differential equations (PDEs) numerically using element-based Galerkin methods. Although;

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Tensor Calculus

Tensor Calculus while presenting the concepts and techniques begins with a brief introduction and history of tensors, followed by the study;

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

and valuable for the multidisciplinary machine learning and data analytic communities to review tensor decompositions and tensor networks as;

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Introduction to Tensor Calculus and Continuum Mechanics

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Tensor Computation for Data Analysis

, technical and experimental details. It presents a systematic and up-to-date overview of tensor decompositions from the engineer's point of view, and;

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Tensors for Data Processing

techniques for data processing. This reference is ideal for students, researchers and industry developers who want to understand and use tensor-based;

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An Introduction to Mining Seismology

An Introduction to Mining Seismology describes comprehensively the modern methods and techniques used to monitor and study seismicity and;

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Matrix and Tensor Decompositions in Signal Processing

very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the;

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An Introduction To Differential Geometry - With The Use Of Tensor Calculus

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Tensor Properties of Solids, Part One

: Part I on equilibrium tensor properties and Part II on transport tensor properties. Part I begins with an introduction to tensor notation;

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Vector and Tensor Analysis

can well be recommended." NatureHere is a clear introduction to classic vector and tensor analysis for students of engineering and;

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An Introduction to Neural Network Methods for Differential Equations

comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their;

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Network Psychometrics with R

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social;

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Tensor Spaces and Numerical Tensor Calculus

Special numerical techniques are already needed to deal with n x n matrices for large n. Tensor data are of size n x n x...x n=nd, where nd;

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Introduction to Biological Networks

Networks provides a thorough introduction to genomics-inspired network biology for physical scientists and biologists involved in interdisciplinary;

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