Journal Title：Optimization Methods & Software

Optimization Methods and Software

publishes 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.

优化方法和软件

发表关于优化方法理论和实现的最新进展的参考论文，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。这尤其包括通过确定性或非确定性算法进行的圆锥、半定、混合整数、网络、非光滑、多目标和全局优化。

互补性、变分不等式和平衡问题的算法和软件，以及求解逆问题、非线性方程组和参数相关算子的数值研究。

高效且用户友好的实现的各个方面：例如自动微分、大规模并行优化、分布式计算、在线算法、错误敏感性和有效性分析、问题缩放、停止标准和符号数字接口。

在工程、机器学习、数据挖掘、经济学、金融、生物学或医学等领域具有明显应用和成功应用潜力的理论研究。这些提交不应仅包含直接使用标准优化技术。