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Tensor Numerical Methods in Quantum Chemistry (Hardcover)
Loot Price: R4,792
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Tensor Numerical Methods in Quantum Chemistry (Hardcover)
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The conventional numerical methods when applied to multidimensional
problems suffer from the so-called "curse of dimensionality", that
cannot be eliminated by using parallel architectures and high
performance computing. The novel tensor numerical methods are based
on a "smart" rank-structured tensor representation of the
multivariate functions and operators discretized on Cartesian grids
thus reducing solution of the multidimensional
integral-differential equations to 1D calculations. We explain
basic tensor formats and algorithms and show how the orthogonal
Tucker tensor decomposition originating from chemometrics made a
revolution in numerical analysis, relying on rigorous results from
approximation theory. Benefits of tensor approach are demonstrated
in ab-initio electronic structure calculations. Computation of the
3D convolution integrals for functions with multiple singularities
is replaced by a sequence of 1D operations, thus enabling accurate
MATLAB calculations on a laptop using 3D uniform tensor grids of
the size up to 1015. Fast tensor-based Hartree-Fock solver,
incorporating the grid-based low-rank factorization of the
two-electron integrals, serves as a prerequisite for economical
calculation of the excitation energies of molecules. Tensor
approach suggests efficient grid-based numerical treatment of the
long-range electrostatic potentials on large 3D finite lattices
with defects.The novel range-separated tensor format applies to
interaction potentials of multi-particle systems of general type
opening the new prospects for tensor methods in scientific
computing. This research monograph presenting the modern tensor
techniques applied to problems in quantum chemistry may be
interesting for a wide audience of students and scientists working
in computational chemistry, material science and scientific
computing.
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