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Tensor Numerical Methods in Quantum Chemistry

cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a smart;

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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 Tensor Network Methods

, programming skills, linear algebra, and differential calculus. It then presents more advanced numerical methods to tackle the quantum many-body;

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Algebraic Methods in Quantum Chemistry and Physics

Algebraic Methods in Quantum Chemistry and Physics provides straightforward presentations of selected topics in theoretical chemistry and;

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Tensors for Data Processing

, psychometric, chemometrics, biometric, quantum physics and quantum chemistry. Provides a complete reference on classical and state-of-the;

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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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Spins in Chemistry

in quantum mechanics to its assimilation into the field of chemistry. Author Roy McWeeny presents an in-depth illustration of the deductive methods;

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Tensor Numerical Methods in Scientific Computing

interaction potentials in multi-particle systems are considered. We also discuss the QTT numerical approach in many-particle dynamics, tensor;

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Elements of Statistical Mechanics

such as non-relativistic quantum field theory and numerical methods. After introducing classical analytical techniques, such as cluster;

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Elements of Statistical Mechanics

such as non-relativistic quantum field theory and numerical methods. After introducing classical analytical techniques, such as cluster;

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Multiconfigurational Quantum Chemistry

The first book to aid in the understanding of multiconfigurational quantum chemistry, Multiconfigurational Quantum Chemistry demystifies a;

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Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

of efficient numerical methods, for example algorithms for matrices with low-rank block structure, matrices with decay, and structured tensor;

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Tensor Computation for Data Analysis

, quantum physics, quantum chemistry, etc. The discussion begins with basic coverage of notations, preliminary operations in tensor;

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Organic Quantum Chemistry Problems

chemistry) arose from an arrangement of the ma terials used by the first of the authors in his lectures on organic quantum chemistry and chemical;

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Maths in Chemistry

which find a wide variety of use while solving complex Physical Chemistry problems. This book aims to aide in understanding of such numerical;

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Advances in Quantum Methods and Applications in Chemistry, Physics, and Biology

Advances in Quantum Methods and Applications in Chemistry, Physics, and Biology includes peer-reviewed contributions based on;

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Novel Electronic Structure Theory: General Innovations and Strongly Correlated Systems

in Quantum Chemistry series presents work and reviews of current work in quantum chemistry (molecules), but also includes scattering from atoms and;

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Molecular Physics and Quantum Chemistry Handbook

This book aims to report recent advances and applications in the field of the molecular physics and quantum chemistry. The molecular;

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Quantum Chemistry

Integrating many new computer-oriented examples and problems throughout, this modern introduction to quantum chemistry covers quantum;

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Introduction to Relativistic Quantum Chemistry

This book introduces relativistic methods in quantum chemistry to non-experts and students. Its five sections cover classically relativity;

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Advances in Methods and Applications of Quantum Systems in Chemistry, Physics, and Biology

, relativistic and correlation effects in quantum chemistry, topics of computational chemistry, physics and biology, as well as applications;

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Modelling Non-Markovian Quantum Systems Using Tensor Networks

represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and;

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Modelling Non-Markovian Quantum Systems Using Tensor Networks

represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and;

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Modern Quantum Chemistry

The branch of chemistry which focuses on the application of quantum mechanics in physical models is referred to as quantum chemistry. It;

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Tensor Fields on Orbits of Quantum States and Applications

On classical Lie groups, which act by means of a unitary representation on finite dimensional Hilbert spaces, quantum state dependent;

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Parallel Computing in Quantum Chemistry

programming from the perspective of quantum chemists, Parallel Computing in Quantum Chemistry thoroughly covers topics relevant to designing and;

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Quantum Chemical Methods in Main-Group Chemistry

Quantum Chemical Methods In Main-Group Chemistry Thomas M. Klap?tke Axel Schulz University of Munich, Germany With an invited chapter by;

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