中文簡介

該期刊的目的是為出版高質(zhì)量的計(jì)算數(shù)學(xué)研究和教程論文提供一個(gè)論壇。除了傳統(tǒng)的數(shù)值分析問題外，該雜志還發(fā)表了一些論文，描述了物理、流體動(dòng)力學(xué)、工程和其他應(yīng)用科學(xué)分支領(lǐng)域的相關(guān)應(yīng)用，其中包含計(jì)算數(shù)學(xué)部分。《華爾街日?qǐng)?bào)》力求在發(fā)表論文的類型和格式上保持靈活性。同樣令人滿意的是:(i)整篇論文，應(yīng)是完整和相對(duì)獨(dú)立的原始貢獻(xiàn)，并有一個(gè)可為廣大計(jì)算數(shù)學(xué)界所理解的導(dǎo)言。嚴(yán)格的和啟發(fā)式的風(fēng)格都是可以接受的。特別令人感興趣的是關(guān)于新研究領(lǐng)域的論文，在這些領(lǐng)域中，除了嚴(yán)格的數(shù)學(xué)論證外，在為進(jìn)一步發(fā)展奠定基礎(chǔ)方面可能是重要的。(ii)課程檢討文件，包括一些重要的問題，在數(shù)值數(shù)學(xué)，科學(xué)計(jì)算及其應(yīng)用。該期刊偶爾會(huì)發(fā)表比普通論文通常格式更大的稿件。簡短的說明，在簡短的交流中提出具體的新結(jié)果和新技術(shù)。該雜志努力為作者的作品提供一個(gè)可參考的出口，受到盡可能少的出版延誤。

　　英文簡介

The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are:(i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments.(ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers.(iii) Short notes, which present specific new results and techniques in a brief communication.The journal strives to provide authors with a refereed outlet for their work which is subject to the least possible publication delay.

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