Amortized Analysis Of Data Structures
Amortized Analysis of Data Structures is a formal analytical framework within the study of algorithms that characterizes the average time complexity of a sequence of operations on a data structure over time, distributing the cost of expensive operations across a series of cheaper ones to provide a more accurate long-term performance bound than worst-case analysis alone.
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1.8K
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41
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24
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2017–2026
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Amortized Computational Complexity
Robert E. Tarjan · SIAM Journal on Algebraic and Discrete Methods · 1985 · 525 citations
Two algorithms for maintaining order in a list
Paul F. Dietz, Daniel D. Sleator · 1987 · 324 citations · Full text
Daniel D. Sleator, Robert E. Tarjan · SIAM Journal on Computing · 1986 · 153 citations
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Sapienza University of Rome
Rome, Italy
2 h-index
2 publications
203 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
342 citations
Princeton University
Princeton, United States
2 h-index
5 publications
105 citations
Schlumberger (United States)
Houston, United States
1 h-index
1 publications
324 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
1 h-index
1 publications
12 citations
Stanford University
Stanford, United States
1 h-index
3 publications
63 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
57 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
1 h-index
1 publications
16 citations
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4 publications · 229 citations
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2 publications · 30 citations
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Repository · 1 publications · 12 citations
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Conference · 1 publications · 16 citations
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1 publications · 55 citations
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