雜志介紹

Applied Mathematics In Science And Engineering雜志介紹

《Applied Mathematics In Science And Engineering》是一本以English為主的開放獲取國際優秀期刊，中文名稱科學與工程中的應用數學，本刊主要出版、報道數學-ENGINEERING, MULTIDISCIPLINARY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.9，

本刊近期中國學者發表的論文主要有：

• Existence and uniqueness of the solution to a second-order nonlinear dynamical system model with an unbounded variable and a discontinuous input

  Author: Xu, Jing; Zhu, Qiuguo; Wu, Jun; Xiong, Rong

• A theoretical view of existence results by using fixed point theory for quasi-variational inequalities

  Author: Wang, Min; Karaca, Yeliz; Ur Rahman, Mati; Zhou, Mi

• An efficient one-step proximal method for EIT sparse reconstruction based on nonstationary iterated Tikhonov regularization

  Author: Wang, Jing

• Disturbance observer-based fuzzy adaptive optimal finite-time control for nonlinear systems

  Author: Sun, Zidong; Liang, Li; Gao, Wei

英文介紹

Applied Mathematics In Science And Engineering雜志英文介紹

《Applied Mathematics In Science And Engineering》 is an international research journal that focuses on the application of mathematics in different fields. This journal is dedicated to publishing cutting-edge research results in various fields of mathematical methods, especially those applications that are of great significance to science and engineering. These fields include but are not limited to biology, medicine, finance, economics, computer science, physics, and engineering. In the field of biology, applied mathematics helps scientists understand complex biological systems and processes, such as simulating cellular signaling or disease transmission through mathematical models. In the field of medicine, mathematical methods are used to optimize treatment plans and drug doses, as well as provide quantitative analysis in disease diagnosis.

The application of mathematics in the financial field involves aspects such as risk management, investment strategies, and market analysis. In economics, mathematical models are used to predict market trends, evaluate the effectiveness of economic policies, and validate economic theories. In the field of computer science, mathematics is the foundation of techniques such as algorithm design, data encryption, and machine learning. In physics, mathematical tools are used to describe the fundamental laws of nature, such as quantum mechanics and relativity. In engineering, mathematical methods are applied to design, optimize, and control various engineering projects.