隨機(jī)矩陣?yán)碚?RMT)有著悠久而豐富的歷史,特別是近年來(lái),在數(shù)學(xué)、科學(xué)和工程的許多不同領(lǐng)域都有重要的應(yīng)用。RMT的范圍和應(yīng)用包括經(jīng)典分析、概率論、大數(shù)據(jù)統(tǒng)計(jì)分析,以及與圖論、數(shù)論、表示論的聯(lián)系,以及數(shù)學(xué)物理的許多領(lǐng)域。隨機(jī)矩陣?yán)碚摰膽?yīng)用不斷涌現(xiàn),歡迎新應(yīng)用。一些例子是正交多項(xiàng)式理論、自由概率、可積系統(tǒng)、增長(zhǎng)模型、無(wú)線(xiàn)通信、信號(hào)處理、數(shù)值計(jì)算、復(fù)雜網(wǎng)絡(luò)、經(jīng)濟(jì)學(xué)、統(tǒng)計(jì)力學(xué)和量子理論。本刊還將考慮和出版專(zhuān)門(mén)討論當(dāng)前感興趣的單一主題的特刊。
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.
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