COMBINED FAST MULTIPOLE-QR COMPRESSION TECHNIQUE FOR SOLVING ELECTRICALLY SMALL TO LARGE STRUCTURES FOR BROADBAND APPLICATIONS

Patent №

US 7,933,944

Granted

2011-04-26

Filed 2007

Owner

UNIVERSITY OF WASHINGTON

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11778369

An approach that efficiently solves for a desired parameter of a system or device that can include both electrically large fast multipole method (FMM) elements, and electrically small QR elements. The system or device is setup as an oct-tree structure that can include regions of both the FMM type and the QR type. An iterative solver is then used to determine a first matrix vector product for any electrically large elements, and a second matrix vector product for any electrically small elements that are included in the structure. These matrix vector products for the electrically large elements and the electrically small elements are combined, and a net delta for a combination of the matrix vector products is determined. The iteration continues until a net delta is obtained that is within predefined limits. The matrix vector products that were last obtained are used to solve for the desired parameter.

AI hardwareG06F 17/16G06F 30/20G06F 2111/10

AI classification

AI hardware0.92
Knowledge representation0.02
Evolutionary computation0.02
Planning0.02
Vision0.00
Natural language0.00
Machine learning0.00
Speech0.00

Ownership

UNIVERSITY OF WASHINGTON

assignment · 196270014

Assignors

JANDHYALA, VIKRAM, CHOWDHURY, INDRANIL

On an employer assignment, the assignors are typically the inventors.

From the same owner

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