Exploring highly dispersive optical solitons and modulation instability in nonlinear Schrödinger equations with nonlocal self phase modulation and polarization dispersion. [PDF]
Hasan WM +4 more
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Novel Soliton and Periodic Wave Solutions of the (3+1)-Dimensional Shallow Water Wave Equation with Bifurcation Analysis. [PDF]
Hasan WM +4 more
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Quasistationarity and extinction for population processes under asymptotic reversibility conditions. [PDF]
Clancy D.
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An Implicit Registration Framework Integrating Kolmogorov-Arnold Networks with Velocity Regularization for Image-Guided Radiation Therapy. [PDF]
Sun P, Zhang C, Yang Z, Yin FF, Liu M.
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Design parallel and sequential quantum algorithms via spectral element method on distributed quantum architectures. [PDF]
Shayegan AHS.
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Controlling inner iterations in the Jacobi-Davidson method
Michiel E. Hochstenbach, Yvan Notay
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AbstractThe Jacobi–Davidson method is a popular technique to compute a few eigenpairs of large sparse matrices. Its introduction, about a decade ago, was motivated by the fact that standard eigensolvers often require an expensive factorization of the matrix to compute interior eigenvalues.
Notay, Yvan, Hochstenbach, Michiel
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Rankin’s method and jacobi forms
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg, 1997In the case of elliptic modular forms \textit{D. Zagier} [Modular functions of one variable VI, Lect. Notes Math. 627, 105-169 (1977; Zbl 0372.10017)] intensively investigated Rankin-Cohen differential operators. In the paper under review the authors study the analogous problem for Jacobi forms. They consider certain bilinear bracket operators \([ , ]_\
Choie, Y, Kohnen, W
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Accelerating the CBFM-enhanced jacobi method
2017 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2017The Characteristic Basis Function Method (CBFM)-enhanced Jacobi method has been introduced as an improvement to the standard iterative Jacobi method for finite array analysis. This technique is a domain decomposition approach based on the Method of Moments (MoM) formulation. In some cases, e.g.
Ludick, D. +3 more
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