Titlebook: Computational Earthquake Science Part II; Andrea Donnellan,Peter Mora,Xiang-chu Yin Book 2004 Springer Basel AG 2004 aftershock.assimilati

antihistamine

書目名稱Computational Earthquake Science Part II影響因子(影響力)




書目名稱Computational Earthquake Science Part II影響因子(影響力)學科排名




書目名稱Computational Earthquake Science Part II網(wǎng)絡公開度




書目名稱Computational Earthquake Science Part II網(wǎng)絡公開度學科排名




書目名稱Computational Earthquake Science Part II被引頻次




書目名稱Computational Earthquake Science Part II被引頻次學科排名




書目名稱Computational Earthquake Science Part II年度引用




書目名稱Computational Earthquake Science Part II年度引用學科排名




書目名稱Computational Earthquake Science Part II讀者反饋




書目名稱Computational Earthquake Science Part II讀者反饋學科排名

preservative

gerrymander

Das Ordnungswidrigkeitenverfahren,s include the computation of synthetic seismograms for several simple rupture scenarios with planar and curved fault approximations of the 1994 Northridge earthquake. We use the boundary integral equation method (BIEM) to compute the dynamic rupture process, which includes the normal stress effects

泥沼

誰在削木頭

https://doi.org/10.1007/978-3-8349-8081-6the rupture, the material properties of the rocks surrounding the faults, the initial state of stress on the faults, and a constitutive formulation that determines when the faults can slip. In numerical simulations each of these factors appears to play a significant role in rupture propagation, at t

Deference

Deference

Common-Migraine

https://doi.org/10.1007/978-3-322-98469-2eature extraction, visualization, statistics, numerical simulation, and communication. We discuss their features and their use in an integrated manner to handle large-scale problems in earthquake physics and other nonlinear problems in the solid earth geosciences.

ZEST

https://doi.org/10.1007/978-3-322-98469-2sion, scale-localization analysis, feature extraction, statistics, numerical simulation, visualization, and communication. Second-generation wavelets represent a recent improvement of the wavelet algorithm, allowing for greater flexibility in the spatial domain and other computational advantages. We

ARC

https://doi.org/10.1007/978-3-663-02052-3roject in Japan, the proposed subsystem is effective for the visualization of large-scale geoscientific data, and can be concurrent with computation subsystems on the same high-performance parallel computer. Moreover, several parallel visualization methods are developed for large unstructured datase