Computational Methods and Optimization for Numerical Analysis

Dear Colleagues,

Computational methods and optimization are widely used in science and engineering, such as physics, environment, mechanics, biology, data science, economics, finance, and so on. These problems are complex and highly nonlinear and difficult to predict. Over the last decade, computational problems have become popular and gained much attention due to the improved computer performance, computing methods, and the rapid development of data science technology. However, these developments also raise various issues and challenges, such as highly non-linearity, the curse of dimensionality, uncertainty, complexity, and so on. Therefore, it is urgent to respond to those challenges by developing new computational methods such as graph theory, optimization methods, algebra, uncertainty, data science or analysis, new differential equations solving methods, probability, and statistics methods.

This Special Issue deals with various computational methods in both science and engineering.

Prof. Dr. Dunhui Xiao
Prof. Dr. Shuai Li
Guest Editors

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