.png){kind=icon}
返回
Automatic initial value generation with interval arithmetic for nonlinear process models
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compchemeng.2021.107342.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a novel approach for the initialization of nonlinear and non-convex algebraic equation sys-tems. The method reduces the solution space spanned by initial variable bounds through a box con-sistency test and removes its discontinuities. Subsequently, a numerical solver is started from the mid-point(s) of the reduced search space to find all problem solutions. The proposed approach is applied on three different examples related to chemical engineering processes with the dimensions of 3, 28 and 95. While the method already solves the smallest example, it provides good initial points for the other two in the order of a few minutes based on simple initial bound selections. (c) 2021 Elsevier Ltd. All rights reserved.
Keyword:
Interval arithmetic
Interval analysis
Initialization
Convergence
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。