共轭梯度法
反问题
数学
拉普拉斯方程
应用数学
拉普拉斯变换
趋同(经济学)
边界(拓扑)
水准点(测量)
非线性共轭梯度法
计算
有限元法
边值问题
数学优化
数学分析
算法
计算机科学
梯度下降
人工神经网络
物理
大地测量学
机器学习
地理
经济
热力学
经济增长
摘要
Abstract This paper studies a non‐linear inverse problem associated with the Laplace equation of identifying the Robin coefficient from boundary measurements. A variational formulation of the problem is suggested, thereby transforming it into an optimization problem. Mathematical properties relevant to its numerical computation are established. The optimization problem is solved using the conjugate gradient method in conjunction with the discrepancy principle, and the algorithm is implemented using the boundary element method. Numerical results are presented for several benchmark problems with both exact and noisy data, and the convergence of the algorithm with respect to mesh refinement and decreasing the amount of noise in the data is investigated. Copyright © 2006 John Wiley & Sons, Ltd.
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