随机矩阵-理论与应用 SCIE

期刊简介预计审稿时间：

Random Matrix Theory (RMT) has a long and rich history and has, especially in recent years, shown to have important applications in many diverse areas of mathematics, science, and engineering. The scope of RMT and its applications include the areas of classical analysis, probability theory, statistical analysis of big data, as well as connections to graph theory, number theory, representation theory, and many areas of mathematical physics.

Applications of Random Matrix Theory continue to present themselves and new applications are welcome in this journal. Some examples are orthogonal polynomial theory, free probability, integrable systems, growth models, wireless communications, signal processing, numerical computing, complex networks, economics, statistical mechanics, and quantum theory.

Special issues devoted to single topic of current interest will also be considered and published in this journal.

随机矩阵理论 (RMT) 有着悠久而丰富的历史，尤其是近年来，已显示出在数学、科学和工程等许多不同领域的重要应用。RMT 及其应用的范围包括经典分析、概率论、大数据统计分析等领域，以及与图论、数论、表示论和许多数学物理领域的联系。

随机矩阵理论的应用不断涌现，本期刊欢迎新的应用。一些例子是正交多项式理论、自由概率、可积系统、增长模型、无线通信、信号处理、数值计算、复杂网络、经济学、统计力学和量子理论。

本期刊还将考虑并发表专门针对当前感兴趣的单一主题的特刊。

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