"Multiconductor transmission line, time-domain analysis, sensitivity, Wendroff formula"@en . "RIV/00216305:26220/10:PU87860!RIV11-MSM-26220___" . "Time-Domain Analysis of Multiconductor Transmission Lines per Implicit Wendroff Method" . "Brno" . "1"^^ . "Vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Brn\u011B" . "Brno" . . "S, Z(MSM0021630503)" . "1"^^ . . . . . "978-80-214-4138-5" . "26220" . "292925" . "Time-Domain Analysis of Multiconductor Transmission Lines per Implicit Wendroff Method"@en . . "2010-09-01+02:00"^^ . "Bran\u010D\u00EDk, Lubom\u00EDr" . "RIV/00216305:26220/10:PU87860" . "Time-Domain Analysis of Multiconductor Transmission Lines per Implicit Wendroff Method"@en . . . . . . . "Time-Domain Analysis of Multiconductor Transmission Lines per Implicit Wendroff Method" . . . . "Electronic Devices and Systems EDS10 IMAPS CS International Conference 2010, Proceedings" . "The paper elaborates techniques for the time-domain analysis of multiconductor transmission lines (MTL) on a basis of an implicit Wendroff method. This method falls into a class of finite-difference time-domain (FDTD) ones useful to solve several electromagnetic systems. Its basic version is extended to handle both voltage and/or current distributions along the MTLs wires and their sensitivities with respect to lumped and distributed parameters. Besides uniform MTLs, also nonuniform ones are enabled, and some experiments to analyse nonlinear MTLs are done as well. All computations have been performed in the Matlab language while utilizing sparse matrix notations to enable solution with a limited RAM and save CPU time." . . . . "[FF78243F10A2]" . "6"^^ . "The paper elaborates techniques for the time-domain analysis of multiconductor transmission lines (MTL) on a basis of an implicit Wendroff method. This method falls into a class of finite-difference time-domain (FDTD) ones useful to solve several electromagnetic systems. Its basic version is extended to handle both voltage and/or current distributions along the MTLs wires and their sensitivities with respect to lumped and distributed parameters. Besides uniform MTLs, also nonuniform ones are enabled, and some experiments to analyse nonlinear MTLs are done as well. All computations have been performed in the Matlab language while utilizing sparse matrix notations to enable solution with a limited RAM and save CPU time."@en .