Applied Mathematics In Science And Engineering

杂志介绍

Applied Mathematics In Science And Engineering杂志介绍

《Applied Mathematics In Science And Engineering》是一本以English为主的开放获取国际优秀期刊，中文名称科学与工程中的应用数学，本刊主要出版、报道数学-ENGINEERING, MULTIDISCIPLINARY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.9，

本刊近期中国学者发表的论文主要有：

• 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

英文介绍

Applied Mathematics In Science And Engineering杂志英文介绍

《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.