Fourier regularization for a backward heat equation
By C. Fu, X. Xiong, Zhi Qian. 2007
154 citations recorded by the source corpus.
Abstract In this paper a simple and convenient new regularization method for solving backward heat equation—Fourier regularization method is given. Meanwhile, some quite sharp error estimates between the approximate solution and exact solution are provided. A numerical example also shows that the method works effectively.
Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/48189c76edeff5a999a49f9b413f668fe4734f9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Computer Vision and Pattern Recognition
- A. Gholami
- Kurt Keutzer
- George Biros
- Michael W. Mahoney
- Zi-Mei Yao
- Zhen Dong
- Jitendra Malik
- Luc Van Gool
Citations in the corpus
- ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs (2019, background): “For example, the linear heat equation can result in much larger λ values and is not reversible [13].”