A recursive aggregation method for the computation of electromagnetic scattering by randomly distributed particles

Cai‐Cheng ‐C Lu; Weng Cho Chew

doi:10.1002/mop.4650061315

A recursive aggregation method for the computation of electromagnetic scattering by randomly distributed particles

Cai‐Cheng ‐C Lu, Weng Cho Chew

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

We develop a new algorithm to expedite the matrix‐vector multiplication in using the conjugate gradient method to solve the linear algebraic equation of scattering by a cluster of particles. We compare this method of solving the scattering problem with two other methods. One is our previously developed method, called recursive aggregate T‐matrix method. The second one is the direct use of the conjugate gradient method. Our new method is shown to have reduced computational complexity as well as memory requirement compared to the use of the conjugate gradient directly to solve the linear algebraic equation of scattering. © 1993 John Wiley & Sons, Inc.

Original language	English
Pages (from-to)	774-777
Number of pages	4
Journal	Microwave and Optical Technology Letters
Volume	6
Issue number	13
DOIs	https://doi.org/10.1002/mop.4650061315
State	Published - Oct 1993

Keywords

Electromagnetic scattering
numerical method
remote sensing

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1002/mop.4650061315

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abstract = "We develop a new algorithm to expedite the matrix‐vector multiplication in using the conjugate gradient method to solve the linear algebraic equation of scattering by a cluster of particles. We compare this method of solving the scattering problem with two other methods. One is our previously developed method, called recursive aggregate T‐matrix method. The second one is the direct use of the conjugate gradient method. Our new method is shown to have reduced computational complexity as well as memory requirement compared to the use of the conjugate gradient directly to solve the linear algebraic equation of scattering. {\textcopyright} 1993 John Wiley & Sons, Inc.",

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AU - Chew, Weng Cho

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N2 - We develop a new algorithm to expedite the matrix‐vector multiplication in using the conjugate gradient method to solve the linear algebraic equation of scattering by a cluster of particles. We compare this method of solving the scattering problem with two other methods. One is our previously developed method, called recursive aggregate T‐matrix method. The second one is the direct use of the conjugate gradient method. Our new method is shown to have reduced computational complexity as well as memory requirement compared to the use of the conjugate gradient directly to solve the linear algebraic equation of scattering. © 1993 John Wiley & Sons, Inc.

AB - We develop a new algorithm to expedite the matrix‐vector multiplication in using the conjugate gradient method to solve the linear algebraic equation of scattering by a cluster of particles. We compare this method of solving the scattering problem with two other methods. One is our previously developed method, called recursive aggregate T‐matrix method. The second one is the direct use of the conjugate gradient method. Our new method is shown to have reduced computational complexity as well as memory requirement compared to the use of the conjugate gradient directly to solve the linear algebraic equation of scattering. © 1993 John Wiley & Sons, Inc.

KW - Electromagnetic scattering

KW - numerical method

KW - remote sensing

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JO - Microwave and Optical Technology Letters

JF - Microwave and Optical Technology Letters

IS - 13

ER -

A recursive aggregation method for the computation of electromagnetic scattering by randomly distributed particles

Abstract

Keywords

ASJC Scopus subject areas

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