Mathematical and Computer Modelling of Dynamical Systems《动力系统数学与计算机建模》 (官网投稿) 简介 期刊简称MATH COMP MODEL DYN 参考译名《动力系统数学与计算机建模》 核心类别 高质量科技期刊(T3), SCIE(2024版), 目次收录(维普), 知网外文库,外文期刊, IF影响因子 自引率 主要研究方向数学-COMPUTER ...
期刊简称 MATH COMPUT MODEL 期刊出版周期 Monthly 期刊出版社/管理机构 杂志由 Elsevier Science 出版或管理。 ISSN号:0895-7177 期刊主页 mathematical and computer modelling主页 期刊评价 您选择的mathematical and computer modelling的指数解析如下: 简介:MATH COMPUT MODEL 杂志属于数学行业,“计算机:跨学科应用”...
Aims and scope Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The jou...
Mathematical and Computer Modelling of Dynamical Systems (MCMDS)publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings togethe...
1.期刊简介 MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS期刊的出版商是Taylor & Francis。该期刊每年出版12期,创刊于1995年。 MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS的国际标准连续出版物编号(Issn号)是1387-3954。 MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS目前的主编是Pro...
《动力系统的数学和计算机建模》(Mathematical And Computer Modelling Of Dynamical Systems)是一本以数学-计算机:跨学科应用综合研究为特色的国际期刊。该刊由Taylor and Francis Ltd.出版商创刊于1998年,刊期Bimonthly。该刊已被国际重要权威数据库SCIE收录。期刊聚焦数学-计算机:跨学科应用领域的重点研究和前沿进展,及...
大类:Mathematics 小类:Control and Systems Engineering Q2 138 / 321 57% 大类:Mathematics 小类:Computer Science Applications Q3 411 / 817 49% 大类:Mathematics 小类:Software Q3 224 / 407 45% 名词解释: CiteScore:由Elsevier集团开发,类似影响因子用来评估杂志期刊学术影响力的一个指标。CiteSc...
1387-3954MATH COMP MODEL DYNMATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS应用数学MATHEMATICS, APPLIED4数学4详情 注:本目录分类来源于中国科学院,参考“期刊印证报告”(JCR),所收集信息仅供科学研究使用。
Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings toget...