Journal Of Complexity

杂志介绍

Journal Of Complexity杂志介绍

《Journal Of Complexity》是一本以English为主的未开放获取国际优秀期刊，中文名称复杂性杂志，本刊主要出版、报道数学-MATHEMATICS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1.8，最新CiteScore 指数为3.1。

本刊近期中国学者发表的论文主要有：

• Optimal subsampling for least absolute relative error estimators with massive data

  Author: Ren, Min; Zhao, Shengli; Wang, Mingqiu

• Nonasymptotic analysis of robust regression with modified Huber?s loss

  Author: Tong, Hongzhi

• Average case tractability of non-homogeneous tensor product problems with the absolute error criterion

  Author: Xu, Guiqiao

• On Huber?s contaminated model

  Author: Mu, Weiyan; Xiong, Shifeng

英文介绍

Journal Of Complexity杂志英文介绍

The multidisciplinary Journal of Complexity publishes original research papers that contain substantial mathematical results on complexity as broadly conceived. Outstanding review papers will also be published. In the area of computational complexity, the focus is on complexity over the reals, with the emphasis on lower bounds and optimal algorithms. The Journal of Complexity also publishes articles that provide major new algorithms or make important progress on upper bounds. Other models of computation, such as the Turing machine model, are also of interest. Computational complexity results in a wide variety of areas are solicited.

Areas Include:

• Approximation theory

• Biomedical computing

• Compressed computing and sensing

• Computational finance

• Computational number theory

• Computational stochastics

• Control theory

• Cryptography

• Design of experiments

• Differential equations

• Discrete problems

• Distributed and parallel computation

• High and infinite-dimensional problems

• Information-based complexity

• Inverse and ill-posed problems

• Machine learning

• Markov chain Monte Carlo

• Monte Carlo and quasi-Monte Carlo

• Multivariate integration and approximation

• Noisy data

• Nonlinear and algebraic equations

• Numerical analysis

• Operator equations

• Optimization

• Quantum computing

• Scientific computation

• Tractability of multivariate problems

• Vision and image understanding.