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Titlebook: Computational Mathematics and Applications; Dia Zeidan,Seshadev Padhi,Peer Ueberholz Book 2020 The Editor(s) (if applicable) and The Autho

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發(fā)表于 2025-3-21 19:52:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Mathematics and Applications
編輯Dia Zeidan,Seshadev Padhi,Peer Ueberholz
視頻videohttp://file.papertrans.cn/233/232666/232666.mp4
概述Offers the latest research developments in areas of theoretical, applied, and computational mathematics.Presents interdisciplinary topics from areas such as computer science, fluid mechanics, and nume
叢書名稱Forum for Interdisciplinary Mathematics
圖書封面Titlebook: Computational Mathematics and Applications;  Dia Zeidan,Seshadev Padhi,Peer Ueberholz Book 2020 The Editor(s) (if applicable) and The Autho
描述.This book is a collection of invited and reviewed chapters on state-of-the-art developments in interdisciplinary mathematics. The book discusses recent developments in the fields of theoretical and applied mathematics, covering areas of interest to mathematicians, scientists, engineers, industrialists, researchers, faculty, and students. Readers will be exposed to topics chosen from a wide range of areas including differential equations, integral reforms, operational calculus, numerical analysis, fluid mechanics, and computer science. The aim of the book is to provide brief and reliably expressed research topics that will enable those new or not aware of mathematical sciences in this part of the world. . .While the book has not been precisely planned to address any branch of mathematics, it presents contributions of the relevant topics to do so. The topics chosen for the book are those that we have found of significant interest to many researchers in the world. These also are topics that are applicable in many fields of computational and applied mathematics. This book constitutes the first attempt in Jordanian literature to scientifically consider the extensive need of research de
出版日期Book 2020
關(guān)鍵詞modelling and analysis; differential equations; numerical methods; probability and statistics; industria
版次1
doihttps://doi.org/10.1007/978-981-15-8498-5
isbn_softcover978-981-15-8500-5
isbn_ebook978-981-15-8498-5Series ISSN 2364-6748 Series E-ISSN 2364-6756
issn_series 2364-6748
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-22 09:16:18 | 只看該作者
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An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimisation,alues. One of the common efficient techniques to solve large-scale unconstrained optimisation issues is the conjugate gradient method, because of its simplicity, low memory consumptions and global convergence properties. This method embeds the n-step to attain a minimum point, where convergence prop
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