Hierarchical LU Direct Solver Based on Higher Order Basis Function

Mapping Intimacies ◽

10.23919/aces-china52398.2021.9581757 ◽

2021 ◽

Author(s):

Ningning Zhang ◽

Zhi Rong ◽

Yongpin Chen ◽

Sheng Sun ◽

Jun Hu

Keyword(s):

Basis Function ◽

Higher Order ◽

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The Numerical Analysis of an Antenna near a Dielectric Object Using the Higher-Order Characteristic Basis Function Method Combined with a Volume Integral Equation

IEICE Transactions on Communications ◽

10.1587/transcom.e97.b.2066 ◽

2014 ◽

Vol E97.B (10) ◽

pp. 2066-2073 ◽

Author(s):

Keisuke KONNO ◽

Qiang CHEN

Keyword(s):

Integral Equation ◽

Numerical Analysis ◽

Basis Function ◽

Function Method ◽

Higher Order ◽

Volume Integral ◽

Volume Integral Equation

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A novel grid-robust higher order vector basis function for the method of moments

IEEE Transactions on Antennas and Propagation ◽

10.1109/8.931148 ◽

2001 ◽

Vol 49 (6) ◽

pp. 908-915 ◽

Author(s):

Gang Kang ◽

Jiming Song ◽

Weng Cho Chew ◽

K.C. Donepudi ◽

Jian-Ming Jin

Keyword(s):

Method Of Moments ◽

Basis Function ◽

Higher Order ◽

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An Optimized Shape Parameter Radial Basis Function Formulation for Composite and Sandwich Plates using Higher Order Formulations

Journal of Sandwich Structures & Materials ◽

10.1177/1099636209104516 ◽

2009 ◽

Vol 12 (3) ◽

pp. 279-306 ◽

Author(s):

C.M.C. Roque ◽

A.J.M. Ferreira ◽

R.M.N. Jorge

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Shape Parameter ◽

Higher Order ◽

Sandwich Plates ◽

Function Formulation ◽

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Accelerated Direct Solver With Multiscale Compressed Block Decomposition and Multilevel Characteristic Basis Function Method

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2020.3028069 ◽

2020 ◽

Vol 19 (12) ◽

pp. 2226-2229

Author(s):

Xiaoxing Fang ◽

Qunsheng Cao ◽

Yi Wang

Keyword(s):

Basis Function ◽

Function Method ◽

Block Decomposition ◽

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Numerical calculation of AC substation grounding systems buried in a vertical multilayered earth model by higher-order basis function

International Journal of Numerical Modelling Electronic Networks Devices and Fields ◽

10.1002/jnm.830 ◽

2011 ◽

Vol 25 (3) ◽

pp. 258-274 ◽

Author(s):

Zhong-Xin Li ◽

Jian-Bin Fan ◽

Yu Yin

Keyword(s):

Numerical Calculation ◽

Basis Function ◽

Higher Order ◽

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Blind equalization using higher order statistics and neural networks: a comparison between multilayer feedforward network and radial basis function network

Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99 ◽

10.1109/host.1999.778700 ◽

2003 ◽

Author(s):

Li Rui ◽

P. Saratchandran ◽

N. Sundararajan

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Order Statistics ◽

Basis Function ◽

Radial Basis Function Network ◽

Higher Order ◽

Higher Order Statistics ◽

Feedforward Network ◽

Multilayer Feedforward Network ◽

Function Network

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Hierarchical support vector machine based heartbeat classification using higher order statistics and hermite basis function

2008 Computers in Cardiology ◽

10.1109/cic.2008.4749019 ◽

2008 ◽

Author(s):

K.S. Park ◽

B.H. Cho ◽

D.H. Lee ◽

S.H. Song ◽

J.S. Lee ◽

...

Keyword(s):

Support Vector Machine ◽

Order Statistics ◽

Basis Function ◽

Higher Order ◽

Support Vector ◽

Higher Order Statistics ◽

Heartbeat Classification

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Higher Order Statistics-Based Radial Basis Function Network for Evoked Potentials

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2008.2002124 ◽

2009 ◽

Vol 56 (1) ◽

pp. 93-100 ◽

Author(s):

Bor-Shyh Lin ◽

Bor-Shing Lin ◽

Fok-Ching Chong ◽

Feipei Lai

Keyword(s):

Evoked Potentials ◽

Radial Basis Function ◽

Order Statistics ◽

Basis Function ◽

Radial Basis Function Network ◽

Higher Order ◽

Higher Order Statistics ◽

Radial Basis ◽

Function Network

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A CBF calculation of 1S0 Superfluidity in the Inner Crust of Neutron Stars

HNPS Proceedings ◽

10.12681/hnps.2567 ◽

2019 ◽

Vol 17 ◽

pp. 23

Author(s):

G. Pavlou ◽

E. Mavrommatis ◽

Ch. C. Moustakidis ◽

J. W. Clark

Keyword(s):

Equation Of State ◽

Neutron Stars ◽

Basis Function ◽

Correlation Functions ◽

Short Range ◽

Higher Order ◽

Neutron Matter ◽

S Wave ◽

Short Range Correlations

Singlet S-wave superfluidity of dilute neutron matter in the inner crust of neutron stars is studied within the correlated BCS (Bardeen, Cooper, Schrieffer) method, taking into account both pairing and short-range correlations. First, the equation of state (EOS) of normal neutron matter is calculated within the correlated-basis-function (CBF) method in lowest cluster order using the Argonne V18 and V4′ potentials and Jastrow-type correlation functions. The 1S0 superfluid gap is then calculated with these potentials and correlation functions. The dependence of our results on the choice of the correlation functions is ana- lyzed and the role of higher-order cluster corrections is considered. The values obtained for the 1S0 gap within this simplified scheme are comparable to those from other, more elaborate, methods.

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Improved Primary-Characteristic Basis Function Method Considering Higher-Order Multiple Scattering

IEICE Transactions on Electronics ◽

10.1587/transele.e100.c.45 ◽

2017 ◽

Vol E100.C (1) ◽

pp. 45-51 ◽

Author(s):

Tai TANAKA ◽

Yoshio INASAWA ◽

Yasuhiro NISHIOKA ◽

Hiroaki MIYASHITA

Keyword(s):

Multiple Scattering ◽

Basis Function ◽

Function Method ◽

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