Design and Analysis of Parametric Query Optimization Algorithms
Summary: Parametric query optimization algorithms generate multiple plans, each optimal over a convex region of parameter space for linear cost functions. The approach extends to nonlinear costs and analyzes the expected size of the parametric-optimal set and the number of plans produced by Cole–Graefe's algorithm. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sumit Ganguly (Indian Institute of Technology Kanpur)
BibTeX Citation
@article{ganguly_vldb98,
title = {{Design and Analysis of Parametric Query Optimization Algorithms}},
author = {Ganguly, Sumit},
journal = {PVLDB},
series = {{VLDB} '98},
pages = {228--239},
year = {1998}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 289 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.00022278876 |
| 474 | Dynamic Query Evaluation Plans | 1989 | SIGMOD | 0.00017894953 |
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