《應(yīng)用科學(xué)中的數(shù)學(xué)方法》發(fā)表論文，討論在一定的初始、邊界、過(guò)渡條件等條件下，物理相關(guān)過(guò)程隨時(shí)間和空間變化的線性和非線性、直接和反問(wèn)題的新數(shù)學(xué)方法。歡迎發(fā)表有關(guān)生物數(shù)學(xué)內(nèi)容、種群動(dòng)態(tài)和網(wǎng)絡(luò)問(wèn)題的論文。《應(yīng)用科學(xué)中的數(shù)學(xué)方法》是一份跨學(xué)科的期刊:因此，所有的手稿都必須被廣泛的科學(xué)但數(shù)學(xué)水平較高的讀者所閱讀。所有的論文都必須包含精心編寫(xiě)的引言和結(jié)論部分，其中應(yīng)該包括對(duì)基本科學(xué)問(wèn)題的清晰闡述，對(duì)數(shù)學(xué)結(jié)果的總結(jié)以及推導(dǎo)結(jié)果時(shí)使用的工具。此外，應(yīng)該明確手稿的科學(xué)重要性及其結(jié)論。處理數(shù)值過(guò)程或只包含已建立的方法的應(yīng)用的論文將不被接受。由于期刊的范圍廣泛，作者應(yīng)該盡量減少使用他們的子領(lǐng)域的技術(shù)術(shù)語(yǔ)，以增加他們的論文的可訪問(wèn)性，并吸引更廣泛的讀者。如果技術(shù)術(shù)語(yǔ)是必要的，那么作者應(yīng)該清楚地定義它們，這樣就可以讓不在同一子領(lǐng)域工作的讀者也能理解其主要思想。

Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome.Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted.Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.