OPTIMIZATION METHODS & SOFTWARE Q1区

期刊简介

Optimization Methods and Softwarepublishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis on the interface between software development and algorithm design.Topics include:Theory, implementation and performance evaluation of algorithms and computer codes for linear, nonlinear, discrete, stochastic optimization and optimal control. This includes in particular conic, semi-definite, mixed integer, network, non-smooth, multi-objective and global optimization by deterministic or nondeterministic algorithms.Algorithms and software for complementarity, variational inequalities and equilibrium problems, and also for solving inverse problems, systems of nonlinear equations and the numerical study of parameter dependent operators.Various aspects of efficient and user-friendly implementations: e.g. automatic differentiation, massively parallel optimization, distributed computing, on-line algorithms, error sensitivity and validity analysis, problem scaling, stopping criteria and symbolic numeric interfaces.Theoretical studies with clear potential for applications and successful applications of specially adapted optimization methods and software to fields like engineering, machine learning, data mining, economics, finance, biology, or medicine. These submissions should not consist solely of the straightforward use of standard optimization techniques.

最优化方法和软件出版关于最优化方法的理论和实现的最新发展的参考论文，特别强调软件开发和算法设计之间的接口。主题包括：线性、非线性、离散、随机最优化和最优控制的算法和计算机代码的理论、实现和性能评估。这包括特别是圆锥曲线，半定，混合整数，网络，非光滑，多目标和全局优化的确定性或非确定性算法。算法和软件的互补性，变分不等式和平衡问题，也为解决反问题，系统的非线性方程和数值研究的参数相关的算子。各方面的有效和用户友好的实施：例如自动微分、大规模并行优化、分布式计算、联机算法、误差敏感性和有效性分析、问题规模、停止准则和符号数值接口。在工程、机器学习、数据挖掘、经济学、金融学、生物学或医学等领域具有明显应用潜力和成功应用专门优化方法和软件的理论研究。这些提交不应仅包括标准优化技术的直接使用。

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