雜志介紹

Journal Of Applied Mathematics Statistics And Informatics雜志介紹

《Journal Of Applied Mathematics Statistics And Informatics》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱應(yīng)用數(shù)學(xué)統(tǒng)計與信息學(xué)雜志，本刊主要出版、報道領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為0.3，

英文介紹

Journal Of Applied Mathematics Statistics And Informatics雜志英文介紹

Journal of Applied Mathematics Statistics and Informatics is a multidisciplinary academic journal aimed at publishing high-quality research results in the fields of applied mathematics, statistics, and informatics. The journal covers multiple aspects of applied mathematics, statistics, and informatics, including but not limited to numerical analysis, discrete optimization, linear and nonlinear programming, computational theory, control theory, algorithm theory, computational logic, applied combinatorics, coding theory, cryptography, fuzzy theory and its applications, differential equations and their applications, etc. Meanwhile, papers on the application of algebra, analysis, geometry, probability and statistics in scientific problems are also welcome.

Goal and significance: To provide a platform for researchers, scholars, and professionals in related fields to exchange and share research results, promote the development of these disciplines and their application in practical problems, and facilitate cross disciplinary integration and collaborative innovation between different disciplines. For example, by publishing research on applying mathematical models to solve practical engineering problems, new ideas and methods can be provided for the engineering field; The achievements in statistics can be used for data analysis and decision support, which is of great significance to industries such as business and healthcare; The research of informatics helps to improve the efficiency and quality of information processing and management.