数学与计算应用专题论文集——2022

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Mathematical & Computational Applications Pub Date : 2023-01-28 DOI:10.3390/mca28010016
G. Rozza, O. Schütze, N. Fantuzzi
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引用次数: 0

摘要

本期特刊收录了《数学与计算应用》(MCA)杂志编委会成员以及MCA核心研究领域的杰出学者提交的第一批论文集〔…〕
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Feature Paper Collection of Mathematical and Computational Applications—2022
This Special Issue comprises the first collection of papers submitted by the Editorial Board Members (EBMs) of the journal Mathematical and Computational Applications (MCA), as well as outstanding scholars working in the core research fields of MCA [...]
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来源期刊
Mathematical & Computational Applications
Mathematical & Computational Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
10.50%
发文量
86
审稿时长
12 weeks
期刊介绍: Mathematical and Computational Applications (MCA) is devoted to original research in the field of engineering, natural sciences or social sciences where mathematical and/or computational techniques are necessary for solving specific problems. The aim of the journal is to provide a medium by which a wide range of experience can be exchanged among researchers from diverse fields such as engineering (electrical, mechanical, civil, industrial, aeronautical, nuclear etc.), natural sciences (physics, mathematics, chemistry, biology etc.) or social sciences (administrative sciences, economics, political sciences etc.). The papers may be theoretical where mathematics is used in a nontrivial way or computational or combination of both. Each paper submitted will be reviewed and only papers of highest quality that contain original ideas and research will be published. Papers containing only experimental techniques and abstract mathematics without any sign of application are discouraged.
期刊最新文献
Asymptotic Behavior of Solutions to a Nonlinear Swelling Soil System with Time Delay and Variable Exponents Exploring the Potential of Mixed Fourier Series in Signal Processing Applications Using One-Dimensional Smooth Closed-Form Functions with Compact Support: A Comprehensive Tutorial Conservation Laws and Symmetry Reductions of the Hunter–Saxton Equation via the Double Reduction Method FE2 Computations with Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation A Computational Fluid Dynamics-Based Model for Assessing Rupture Risk in Cerebral Arteries with Varying Aneurysm Sizes
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