Numerical calculations of internal impedance of solid and tubular cylindrical conductors under large parameters

2004 ◽  
Vol 151 (1) ◽  
pp. 67 ◽  
Author(s):  
W. Mingli ◽  
F. Yu
Keyword(s):  
Numerical Calculations ◽  
Internal Impedance ◽  
Cylindrical Conductors

scholarly journals On the numerical computation of cylindrical conductor internal impedance for complex arguments of large magnitude

2017 ◽  
Vol 30 (1) ◽  
pp. 81-91 ◽  
Author(s):  
Slavko Vujevic ◽  
Dino Lovric
Keyword(s):  
Numerical Computation ◽  
Numerical Algorithm ◽  
Bessel Functions ◽  
Unit Length ◽  
Exact Formula ◽  
Asymptotic Approximations ◽  
Modified Bessel Functions ◽  
Large Magnitude ◽  
Internal Impedance ◽  
Cylindrical Conductors

In this paper a numerical algorithm for computation of per-unit-length internal impedance of cylindrical conductors under complex arguments of large magnitude is presented. The presented algorithm either numerically solves the scaled exact formula for internal impedance or employs asymptotic approximations of modified Bessel functions when applicable. The formulas presented can be used for computation of per-unit-length internal impedance of solid cylindrical conductors as well as tubular cylindrical conductors.

COMPARISON BETWEEN EXPERIMENTS AND NUMERICAL CALCULATIONS ON S = 1/2 HEISENBERG-XY FERROMAGNETIC CHAINS

1988 ◽  
Vol 49 (C8) ◽  
pp. C8-1451-C8-1452 ◽  
Author(s):  
K. Kopinga ◽  
J. Emmen ◽  
G. C. de Vries ◽  
L. F. Lemmens ◽  
G. Kamieniarz
Keyword(s):  
Numerical Calculations

Internal impedance characterization for black box signal source

1997 ◽  
Author(s):  
K. C. Cheok ◽  
G. E. Smid ◽  
K. Kobayashi ◽  
F. Miesterfeld ◽  
R. Hormel
Keyword(s):  
Black Box ◽  
Signal Source ◽  
Internal Impedance ◽  
Impedance Characterization

The Feasibility of Numerical Calculations of Vias Using the Matrix-Penciled Moment Method

PIERS Online ◽  
2010 ◽  
Vol 6 (1) ◽  
pp. 36-40 ◽  
Author(s):  
Hailiang Li ◽  
Yu Tian ◽  
Tong Ling
Keyword(s):  
Moment Method ◽  
Numerical Calculations ◽  
The Matrix
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