在基于RBF拼接方法的二维变量问题的极端的确定
Ahmad Golbabai1, Nima Safaei1, Mahboubeh Molavi-Arabshahi1
1School of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.
Entropy (Basel, Switzerland)
|July 8, 2023
概括
本研究介绍了直接射线基函数 (RBF) 的插值方法,用于解决变量问题. 该技术将这些问题转化为受约束优化,显示出高效率和准确性.
科学领域:
- 应用数学 应用数学 应用数学
- 数字分析 数字分析
背景情况:
- 变量问题是各种科学领域的基本问题.
- 解决这些问题往往需要复杂的数值方法.
研究的目的:
- 引入一种直接方法来解决使用辐射基函数 (RBF) 插值的变量问题.
- 参数化解决方案,并将变量问题转化为受约束的优化问题.
主要方法:
- 全球辐射基函数 (RBF) 在任意的拼接节点上进行插值.
- 使用任意RBFs的解决方案的参数化.
- 将二维变量问题 (2DVP) 转换为受约束的优化问题.
- 应用拉格朗奇乘法技术将优化问题转换为代数方程系统.
主要成果:
- 拟议的方法在选择RBF和参数化节点方面提供了灵活性.
- 它有效地将受约束变异问题减少到受约束优化.
- 数字示例证实了该技术的高效率和准确性.
结论:
- 直接RBF插值方法为解决变量问题提供了一种高效和准确的方法.
- 在RBF和节点选择的灵活性提高了它的适用性.
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