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Quasiparticle relativistic G-matrix interaction

Nuclear Physics A, 1987
Abstract A quasiparticle G -matrix interaction has been constructed from a three-dimensional integral equation which is a relativistic generalization of the conventional non-relativistic Bethe-Goldstone equation. Relativistic dynamical effects have been discussed by comparing the relativistic and the conventional non-relativistic G -matrices.
K. Nakayama   +3 more
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Effective quasiparticle G-matrix interaction

Nuclear Physics A, 1984
Abstract A derivation of the operator structure of the Brueckner G -matrix is presented. This method is used to extract¦an effective interaction based on a G -matrix in nuclear matter derived from a one-boson-exchange potential. Effects of Pauli blocking and short-range correlations have been analyzed, showing that they are essentially restricted ...
K. Nakayama   +3 more
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The G-Matrix in Finite Nuclei

1993
One of the central aims of nuclear structure theory is to derive the properties of nuclei from a realistic nucleon-nucleon (NN) interaction. Such a realistic NN interaction should be determined to describe the interaction of two nucleons in a vacuum, which means that it should reproduce the experimental data on NN scattering and the properties of the ...
H. Müther, P. U. Sauer
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ON PASLNETTI'S ‘G’ MATRIX

Metroeconomica, 1989
ABSTRACTPasinetti's vertically integrated H matrix has been much used in economic theory but his other vertically integrated matrix, G — which is of a quite different nature — has been little noticed. This paper considers the nature of the G matrix, its relationship to H, and varous issues — concerning consumption and growth, value added, sales revenue
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G-matrix stability in clinally diverging populations of an annual weed

Evolution, 2022
Abstract How phenotypic and genetic divergence among populations is influenced by the genetic architecture of those traits, and how microevolutionary changes in turn affect the within-population patterns of genetic variation, are of major interest to evolutionary biology. Work on Ipomoea hederacea
Georgia Alexandria Henry   +1 more
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On the redundant conditions in G-matrix

Journal of Molecular Structure, 1984
Abstract The Wilson GF-matrix method of solving the problem of vibrational eigenvalues sometimes leads to G-matrix with redundancies. The paper discusses, when Godnev-Oriova-Rigina's method is used, the problem of redundancy conditions among the internal coordinates and rows of G-matrix with zero eigenvalues.
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An Alternative Approach to the g‐Matrix: Theory and Applications

ChemPhysChem, 2006
AbstractStarting from the formula proposed by Gerloch and McMeeking in 1975, the electronic g‐matrix is expressed as a sum of two matrices called Λ and Σ describing the orbital and spin contributions respectively. This approach is applied on benchmark diatomic and triatomic molecules, and on TiF3 and Cu(NH3)42+ using either CASPT2 or CCSD(T) methods to
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Algebraically stable general linear methods and the G-matrix

BIT Numerical Mathematics, 2009
The authors discuss the algebraic stability of general linear methods, which governs long-time dynamics for dissipative systems and represents a stronger requirement than A-stability. The condition is reformulated in a modified form and connected to a branch of control theory concerned with the discrete algebraic Riccati equation.
Hewitt, L. L., Hill, A. T.
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G Matrix assembly and SCF iteration damping

Computers & Chemistry, 1983
Abstract Some simplifications to Duke's method for assembly of the G matrix are presented. These modifications make it more efficient and applicable on machines with word lengths shorter than 60 bits. Additionally an improvement to the SCF iterative damping scheme of de Montogolfier and Horeau is given.
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Gmat. A software tool for the computation of the rovibrational G matrix

Computer Physics Communications, 2009
Abstract Gmat is a C++ program able to compute the rovibrational G matrix in molecules of arbitrary size. This allows the building of arbitrary rovibrational Hamiltonians. In particular, the program is designed to work with the structural results of potential energy hypersurface mappings computed in computer clusters or computational Grid ...
María Eugenia Castro   +2 more
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