Hierarchical Error Estimation
Hierarchical Error Estimation is an error estimation method that leverages a nested sequence of discretizations or model refinements to systematically assess and quantify the discrepancy between approximate solutions at different levels of resolution, thereby distinguishing itself from non-hierarchical estimation techniques by exploiting the structured, multi-level relationships inherent in the solution space.
38
Publications
1.6K
Citations
90
Authors
57
Institutions
Publications per year
2017–2026
7
Parents
38
Hierarchical bases and the finite element method
Randolph E. Bank · Acta Numerica · 1996 · 188 citations
Computing, Computational Engineering, Finite Element Analysis +15
Hierarchical error processing: Different errors, different systems
Olav Krigolson, Clay B. Holroyd · Brain Research · 2007 · 104 citations
1–5 of 38
90
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 90
57
Guangzhou University
Guangzhou, China
2 h-index
8 publications
191 citations
University of Münster
Münster, Germany
2 h-index
2 publications
34 citations

University of Minnesota
Minneapolis, United States
2 h-index
4 publications
62 citations
Freie Universität Berlin
Berlin, Germany
2 h-index
5 publications
140 citations
New York University
New York, United States
2 h-index
2 publications
136 citations
Numerical Method (China)
Tsuen Wan, China
1 h-index
3 publications
30 citations

University of Zagreb
Zagreb, Croatia
1 h-index
1 publications
44 citations
Stanford University
Stanford, United States
1 h-index
2 publications
102 citations
1–8 of 57
5 publications · 412 citations
5
h-index
3 publications · 150 citations
3
h-index
3 publications · 69 citations
3
h-index
MCOM · 2 publications · 60 citations
2
h-index
2 publications · 39 citations
2
h-index
1–5