Titlebook: Computational Science – ICCS 2020; 20th International C Valeria V. Krzhizhanovskaya,Gábor Závodszky,Jo?o T Conference proceedings 2020 Spri

引起極大興趣

書目名稱Computational Science – ICCS 2020影響因子(影響力)




書目名稱Computational Science – ICCS 2020影響因子(影響力)學(xué)科排名




書目名稱Computational Science – ICCS 2020網(wǎng)絡(luò)公開度




書目名稱Computational Science – ICCS 2020網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Science – ICCS 2020被引頻次




書目名稱Computational Science – ICCS 2020被引頻次學(xué)科排名




書目名稱Computational Science – ICCS 2020年度引用




書目名稱Computational Science – ICCS 2020年度引用學(xué)科排名




書目名稱Computational Science – ICCS 2020讀者反饋




書目名稱Computational Science – ICCS 2020讀者反饋學(xué)科排名

矛盾心理

Amadou Thierno Diallo,Ahmet Suayb Gundogdutral step of the Data Assimilation approach and, in general, in several data analysis procedures. In particular, we propose a parallel algorithm, based on the use of Recursive Filters to approximate the Gaussian convolution in a very fast way. Tests and experiments confirm the efficiency of the proposed implementation.

違反

CRUMB

Accelerated Gaussian Convolution in a Data Assimilation Scenariotral step of the Data Assimilation approach and, in general, in several data analysis procedures. In particular, we propose a parallel algorithm, based on the use of Recursive Filters to approximate the Gaussian convolution in a very fast way. Tests and experiments confirm the efficiency of the proposed implementation.

hyperuricemia

松緊帶

松緊帶

裂口

Consensus

不來

https://doi.org/10.1007/978-1-4020-6598-9eriodic monitoring of the fire spread prediction error . estimated by the normalized symmetric difference for each simulation run. Our new strategy avoid wasting too much computing time running unfit individuals thanks to an early adaptive evaluation.