Book summarySummary of the book… Book coverContentsCh. 1 Keywordskeyword1, PDFpdf file Referencessee the expanding block below Cite this book as:Author,…
AbstractAuthorsKeywordsReferencesPDF(pdf file here) Cite this paper as:Anisiu M.C., PDES in the inverse problem of dynamics, Analysis and Optimization of Differential Systems,…
AbstractThe convergence of Mann iteration is equivalent to the convergence of Ishikawa iterations, when T is an asymptotically nonexpansive and asymptotically pseudocontractive…
Book summarySummary of the book… Book coverContentsCh. 1 Keywordskeyword1, PDFpdf file Referencessee the expanding block below Cite this book as:M.-C.…
AbstractAuthorsC.V.L. Pop I. Turcu C. Vamoș -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy KeywordsCite this paper as:C.V.L. Pop, I. Turcu, C.Vamoş, Simulation…
AbstractAuthorsN. Suciu -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy C. Vamoș -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy H. Vereecken J.…
AbstractAuthorsC. Vamoș -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy N. Suciu -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy H. Hardelauf J. Vanderborght…
AbstractAuthorsC. Vamoș -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy N. Suciu -Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy KeywordsCite this…
AbstractWe comparatively use some classical spectral collocation methods as well as highly performing Chebfun algorithms in order to compute the eigenpairs of second order singular Sturm-Liouville problems with separated self-adjoint…
AbstractWe are concerned with the study of some classical spectral collocation methods as well as with the new software system Chebfun in computing high order eigenpairs of singular and regular…
AbstractWe solve by Chebyshev spectral collocation some genuinely nonlinear Liouville-Bratu-Gelfand type, 1D and a 2D boundary value problems. The problems are formulated on the square domain [−1, 1] × [−1,…