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INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

國際計(jì)算機(jī)數(shù)學(xué)雜志

期刊周期:Bimonthly
研究方向:數(shù)學(xué)
影響因子:1.196
通訊地址:TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON, ENGLAND, OXON, OX14 4RN
官網(wǎng):http://www.tandf.co.uk/journals/titles/00207160.asp
投稿地址:http://mc.manuscriptcentral.com/gcom
審稿速度:約6.0個月

  中文簡介

國際計(jì)算機(jī)數(shù)學(xué)雜志(IJCM)是一份世界領(lǐng)先的期刊,服務(wù)于從學(xué)術(shù)界到工業(yè)界的數(shù)字分析和科學(xué)計(jì)算領(lǐng)域的研究人員。IJCM在計(jì)算數(shù)學(xué)領(lǐng)域發(fā)表具有較高科學(xué)價(jià)值的原創(chuàng)研究論文,在科學(xué)和工程領(lǐng)域有著廣泛的應(yīng)用。IJCM歡迎關(guān)于創(chuàng)新計(jì)算策略的分析和應(yīng)用的論文,以及那些在計(jì)算數(shù)學(xué)中對前沿技術(shù)和關(guān)注點(diǎn)進(jìn)行嚴(yán)格探索的論文。IJCM考慮的主題包括:?偏微分方程組的數(shù)值解?系統(tǒng)或多維偏微分方程的數(shù)值解?非局部建模和分?jǐn)?shù)偏微分方程的理論和計(jì)算?新穎的多尺度建模和計(jì)算策略?并行計(jì)算?數(shù)值優(yōu)化和控制?成像算法和視覺配置?計(jì)算隨機(jī)過程和逆問題?隨機(jī)偏微分方程,蒙特卡羅模擬和不確定性量化?計(jì)算金融和應(yīng)用?高度活躍和健壯的算法,以及在現(xiàn)代工業(yè)中的應(yīng)用,包括但不限于多物理、經(jīng)濟(jì)學(xué)和生物醫(yī)學(xué)。

  英文簡介

International Journal of Computer Mathematics (IJCM) is a world-leading journal serving the community of researchers in numerical analysis and scientific computing from academia to industry. IJCM publishes original research papers of high scientific value in fields of computational mathematics with profound applications to science and engineering. IJCM welcomes papers on the analysis and applications of innovative computational strategies as well as those with rigorous explorations of cutting-edge techniques and concerns in computational mathematics. Topics IJCM considers include: ? Numerical solutions of systems of partial differential equations ? Numerical solution of systems or of multi-dimensional partial differential equations ? Theory and computations of nonlocal modelling and fractional partial differential equations ? Novel multi-scale modelling and computational strategies ? Parallel computations ? Numerical optimization and controls ? Imaging algorithms and vision configurations ? Computational stochastic processes and inverse problems ? Stochastic partial differential equations, Monte Carlo simulations and uncertainty quantification ? Computational finance and applications ? Highly vibrant and robust algorithms, and applications in modern industries, including but not limited to multi-physics, economics and biomedicine.

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