Matches in SemOpenAlex for { <https://semopenalex.org/work/W2933359675> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2933359675 endingPage "5" @default.
- W2933359675 startingPage "1" @default.
- W2933359675 abstract "This paper describes the effectiveness of a geometric multi-grid (GMG) method in current density analysis using numerical human body models. The scalar potential finite difference (SPFD) method is used as a current analysis method inside a human body in the low-frequency domain, and studies have been conducted to solve faster large-scale linear equations made by the SPFD method. In the previous research, the block incomplete Cholesky conjugate gradients (ICCG) method is proposed as an effective method to solve linear equations faster. However, even though the block ICCG method is applied, many iterations are still needed. Therefore, in this research, the GMG method is considered as an effective solver for the problem. GMG method is developed and evaluated performances comparing with the block ICCG method with multi-color (MC) ordering in terms of computation time and the number of iterations. The results show that the number of iterations needed for GMG method is much smaller than that for the block ICCG and the ICCG with MC ordering. In addition, computation times are much shorter, depending on the number of threads and the number of coarse grids. Also, by using MC ordering, the scalability of the GMG method can be greatly improved." @default.
- W2933359675 created "2019-04-11" @default.
- W2933359675 creator A5021004135 @default.
- W2933359675 creator A5026314730 @default.
- W2933359675 creator A5054914297 @default.
- W2933359675 date "2019-06-01" @default.
- W2933359675 modified "2023-09-23" @default.
- W2933359675 title "Analysis of Current Density Inside Human Body Using Geometric Multi-Grid Method" @default.
- W2933359675 cites W1970197886 @default.
- W2933359675 cites W1994943748 @default.
- W2933359675 cites W2006268511 @default.
- W2933359675 cites W2088373111 @default.
- W2933359675 cites W2090525705 @default.
- W2933359675 cites W2094752444 @default.
- W2933359675 cites W2280942590 @default.
- W2933359675 cites W2395378132 @default.
- W2933359675 cites W2963241937 @default.
- W2933359675 cites W4230055019 @default.
- W2933359675 doi "https://doi.org/10.1109/tmag.2019.2903320" @default.
- W2933359675 hasPublicationYear "2019" @default.
- W2933359675 type Work @default.
- W2933359675 sameAs 2933359675 @default.
- W2933359675 citedByCount "2" @default.
- W2933359675 countsByYear W29333596752021 @default.
- W2933359675 countsByYear W29333596752022 @default.
- W2933359675 crossrefType "journal-article" @default.
- W2933359675 hasAuthorship W2933359675A5021004135 @default.
- W2933359675 hasAuthorship W2933359675A5026314730 @default.
- W2933359675 hasAuthorship W2933359675A5054914297 @default.
- W2933359675 hasConcept C11413529 @default.
- W2933359675 hasConcept C121332964 @default.
- W2933359675 hasConcept C126255220 @default.
- W2933359675 hasConcept C158693339 @default.
- W2933359675 hasConcept C187691185 @default.
- W2933359675 hasConcept C199360897 @default.
- W2933359675 hasConcept C2524010 @default.
- W2933359675 hasConcept C2777210771 @default.
- W2933359675 hasConcept C2778770139 @default.
- W2933359675 hasConcept C28826006 @default.
- W2933359675 hasConcept C33923547 @default.
- W2933359675 hasConcept C34727166 @default.
- W2933359675 hasConcept C41008148 @default.
- W2933359675 hasConcept C45374587 @default.
- W2933359675 hasConcept C48044578 @default.
- W2933359675 hasConcept C62520636 @default.
- W2933359675 hasConcept C77088390 @default.
- W2933359675 hasConcept C81184566 @default.
- W2933359675 hasConceptScore W2933359675C11413529 @default.
- W2933359675 hasConceptScore W2933359675C121332964 @default.
- W2933359675 hasConceptScore W2933359675C126255220 @default.
- W2933359675 hasConceptScore W2933359675C158693339 @default.
- W2933359675 hasConceptScore W2933359675C187691185 @default.
- W2933359675 hasConceptScore W2933359675C199360897 @default.
- W2933359675 hasConceptScore W2933359675C2524010 @default.
- W2933359675 hasConceptScore W2933359675C2777210771 @default.
- W2933359675 hasConceptScore W2933359675C2778770139 @default.
- W2933359675 hasConceptScore W2933359675C28826006 @default.
- W2933359675 hasConceptScore W2933359675C33923547 @default.
- W2933359675 hasConceptScore W2933359675C34727166 @default.
- W2933359675 hasConceptScore W2933359675C41008148 @default.
- W2933359675 hasConceptScore W2933359675C45374587 @default.
- W2933359675 hasConceptScore W2933359675C48044578 @default.
- W2933359675 hasConceptScore W2933359675C62520636 @default.
- W2933359675 hasConceptScore W2933359675C77088390 @default.
- W2933359675 hasConceptScore W2933359675C81184566 @default.
- W2933359675 hasFunder F4320334764 @default.
- W2933359675 hasIssue "6" @default.
- W2933359675 hasLocation W29333596751 @default.
- W2933359675 hasOpenAccess W2933359675 @default.
- W2933359675 hasPrimaryLocation W29333596751 @default.
- W2933359675 hasRelatedWork W1488865567 @default.
- W2933359675 hasRelatedWork W1568703913 @default.
- W2933359675 hasRelatedWork W1821385444 @default.
- W2933359675 hasRelatedWork W2089611640 @default.
- W2933359675 hasRelatedWork W2135330947 @default.
- W2933359675 hasRelatedWork W2137199334 @default.
- W2933359675 hasRelatedWork W2146278451 @default.
- W2933359675 hasRelatedWork W2163457938 @default.
- W2933359675 hasRelatedWork W2389170999 @default.
- W2933359675 hasRelatedWork W4246539386 @default.
- W2933359675 hasVolume "55" @default.
- W2933359675 isParatext "false" @default.
- W2933359675 isRetracted "false" @default.
- W2933359675 magId "2933359675" @default.
- W2933359675 workType "article" @default.