OPTIMIZATION METHODS & SOFTWARE

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优化方法及软件发表有关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算法和计算机代码的理论、实现和性能评估。具体包括二次曲线、半定、混合整数、网络、非光滑、多目标和确定性或非确定性算法的全局优化。用于互补、变分不等式和平衡问题的算法和软件，也用于求解反问题、非线性方程组和参数相关算子的数值研究。高效和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。具有明显应用潜力的理论研究，以及在工程、机器学习、数据挖掘、经济学、金融学、生物学或医学等领域成功应用经过特别调整的优化方法和软件。这些提交不应该仅仅包括直接使用标准优化技术。

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.