Results 11 to 20 of about 17,969,489 (257)
Generalized Reich-Moore R-matrix approximation
EPJ Web of Conferences, 2017 A conventional Reich-Moore approximation (RMA) of R-matrix is generalized into a manifestly unitary form by introducing a set of resonant capture channels treated explicitly in a generalized, reduced R-matrix.
Arbanas Goran +5 more
doaj +2 more sources
Electron-molecule collisions at low and intermediate energies using the R-matrix method [PDF]
, 2005 We present the latest developments of the R-matrix method as applied to electron-molecule collisions. A variety of calculations for H2O are presented including the study of rotational excitation and preliminary data for dissociative electron attachment ...
Tennyson, J. +15 more
core +1 more source
Relativistic B-Spline R-Matrix Calculations for Electron Collisions with Ytterbium
, 2021 We have applied the full-relativistic Dirac B-Spline R-matrix method to obtain cross sections for electron scattering from ytterbium atoms. The results are compared with those obtained from a semi-relativistic (Breit-Pauli) model-potential approach and ...
Bartschat, K +6 more
core +1 more source
On Eisenbud’s and Wigner’s R-matrix: A general approach [PDF]
, 2007 The main objective of this paper is to give a rigorous treatment of Wigner’s and Eisenbud’s R-matrix method for scattering matrices of scattering systems consisting of two selfadjoint extensions of the same symmetric operator with finite deficiency ...
U. Wulf +13 more
core +1 more source
, 2021 In this thesis, we extend the numerical S-matrix bootstrap program to 1+1d theories with a boundary, where we bootstrap the 1-to-1 reflection matrix (R-matrix).
Murali, Harish
core +1 more source
matrix-profile-foundation/tsmp: Fixed clang-UBSAN errors
, 2022 R Functions implementing UCR Matrix Profile ...
Francisco Bischoff +2 more
core +1 more source
Randomized Matrix Decompositions Using R
Journal of Statistical Software, 2019 Matrix decompositions are fundamental tools in the area of applied mathematics, statistical computing, and machine learning. In particular, low-rank matrix decompositions are vital, and widely used for data analysis, dimensionality reduction, and data ...
N. Benjamin Erichson +3 more
doaj +1 more source
R-plot of our example APT matrix game.
, 2017 R-plot of our example APT matrix game.
Stefan Schauer (161851) +2 more
core +1 more source