Computational Optimization And Applications SCIE
国际简称：COMPUT OPTIM APPL 参考译名：计算优化与应用
主要研究方向：数学-应用数学 非预警期刊 审稿周期： 约10.0个月
《计算优化与应用》(Computational Optimization And Applications)是一本由Springer US出版的以数学-应用数学为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。
Computational Optimization and Applications is a peer reviewed journal that is committed to timely publication of research and tutorial papers on the analysis and development of computational algorithms and modeling technology for optimization. Algorithms either for general classes of optimization problems or for more specific applied problems are of interest. Stochastic algorithms as well as deterministic algorithms will be considered. Papers that can provide both theoretical analysis, along with carefully designed computational experiments, are particularly welcome.
Topics of interest include, but are not limited to the following:
Large Scale Optimization,
Unconstrained Optimization,
Linear Programming,
Quadratic Programming Complementarity Problems, and Variational Inequalities,
Constrained Optimization,
Nondifferentiable Optimization,
Integer Programming,
Combinatorial Optimization,
Stochastic Optimization,
Multiobjective Optimization,
Network Optimization,
Complexity Theory,
Approximations and Error Analysis,
Parametric Programming and Sensitivity Analysis,
Parallel Computing, Distributed Computing, and Vector Processing,
Software, Benchmarks, Numerical Experimentation and Comparisons,
Modelling Languages and Systems for Optimization,
Automatic Differentiation,
Applications in Engineering, Finance, Optimal Control, Optimal Design, Operations Research,
Transportation, Economics, Communications, Manufacturing, and Management Science.
Computational Optimization And Applications期刊信息
- ISSN：0926-6003
- 出版语言：English
- 是否OA：未开放
- E-ISSN：1573-2894
- 出版地区：UNITED STATES
- 是否预警：否
- 出版商：Springer US
- 出版周期：Monthly
- 创刊时间：1992
- 开源占比：0.2359
- Gold OA文章占比：31.58%
- OA被引用占比：0.0653...
- 出版国人文章占比：0.18
- 出版撤稿占比：0
- 研究类文章占比：100.00%
Computational Optimization And Applications CiteScore评价数据（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||||||||||
| 3.7 | 1.322 | 1.576 |
|
名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。
Computational Optimization And Applications中科院评价数据
中科院 2023年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 数学 | 2区 | MATHEMATICS, APPLIED 应用数学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 2区 3区 |
中科院 2022年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 数学 | 3区 | MATHEMATICS, APPLIED 应用数学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2021年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 数学 | 3区 | MATHEMATICS, APPLIED 应用数学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2021年12月基础版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 数学 | 2区 | MATHEMATICS, APPLIED 应用数学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 2区 4区 |
中科院 2021年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 数学 | 3区 | MATHEMATICS, APPLIED 应用数学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2020年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 数学 | 2区 | MATHEMATICS, APPLIED 应用数学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 2区 3区 |
Computational Optimization And Applications JCR评价数据（2023-2024年最新版）
| 按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：MATHEMATICS, APPLIED | SCIE | Q2 | 89 / 331 |
73.3% |
| 学科：OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SCIE | Q3 | 65 / 106 |
39.2% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：MATHEMATICS, APPLIED | SCIE | Q2 | 133 / 331 |
59.97% |
| 学科：OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SCIE | Q2 | 32 / 106 |
70.28% |
Computational Optimization And Applications历年数据统计
影响因子
中科院分区
Computational Optimization And Applications中国学者发文选摘
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1、On global convergence of alternating least squares for tensor approximation
Author: Yang, Yuning
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 2, pp. 509-529. DOI: 10.1007/s10589-022-00428-1
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2、A global exact penalty for rank-constrained optimization problem and applications
Author: Yang, Zhikai; Han, Le
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 2, pp. 477-508. DOI: 10.1007/s10589-022-00427-2
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3、Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
Author: Gao, Juan; Liu, Xin-Wei; Dai, Yu-Hong; Huang, Yakui; Gu, Junhua
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 2, pp. 531-572. DOI: 10.1007/s10589-022-00432-5
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4、T-product factorization based method for matrix and tensor completion problems
Author: Yu, Quan; Zhang, Xinzhen
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 3, pp. 761-788. DOI: 10.1007/s10589-022-00439-y
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5、Lifted stationary points of sparse optimization with complementarity constraints
Author: Liu, Shisen; Chen, Xiaojun
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 3, pp. 973-1003. DOI: 10.1007/s10589-022-00444-1
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6、A matrix nonconvex relaxation approach to unconstrained binary polynomial programs
Author: Qian, Yitian; Pan, Shaohua; Bi, Shujun
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 3, pp. 875-919. DOI: 10.1007/s10589-022-00443-2
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7、A smoothing Newton method based on the modulus equation for a class of weakly nonlinear complementarity problems
Author: Huang, Baohua; Li, Wen
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s10589-023-00482-3
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8、A sequential adaptive regularisation using cubics algorithm for solving nonlinear equality constrained optimization
Author: Pei, Yonggang; Song, Shaofang; Zhu, Detong
Journal: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 2023; Vol. 84, Issue 3, pp. 1005-1033. DOI: 10.1007/s10589-022-00449-w
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