Large-Scale Nonlinear Programming

大规模非线性规划大规模非线性优化问题出现在许多重要的应用领域，如气候建模，天气预报，网络设计和金融。一个重要的开放性问题是如何可靠和快速地解决这些问题。该提案描述了各种新的算法，基于障碍技术，promisetto是有效的问题前所未有的规模和复杂性，以确保新的方法是强大的，即使在高病态的情况下，提出了新的正则化技术。一个基于互联网的求解器实现新的算法将bedevelop作为这个项目的一部分。它将允许工程和科学界使用基于网络的界面自动解决大型优化问题。

Large-Scale Nonlinear Programming Large nonlinear optimization problems arise in many importantareas of application such as climate modeling, weather forecasting,network design, and finance. An important open problem is how tosolve these problems reliably and quickly. The proposal describes a variety of new algorithms, based on barrier techniques, that promiseto be effective on problems of unprecedented size and complexity.To ensure that the new methods are robust even in the case of highill-conditioning, novel regularization techniques are proposed. AnInternet-based solver implementing the new algorithms will bedeveloped as part of this project. It will allow the engineeringand scientific communities to solve large optimization problemsautomatically using a web-based interface.