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The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Geometric Approximation Algorithms

Open access
Har-Peled, Sariel·2011·Mathematical Surveys and Monographs

Abstract

Exact algorithms for dealing with geometric objects are complicated, hard to implement in practice, and slow. Over the last 20 years a theory of geometric approximation algorithms has emerged. These algorithms tend to be simple, fast, and more robust than their exact counterparts. This book is the first to cover geometric approximation algorithms in detail. In addition, more traditional computational geometry techniques that are widely used in developing such algorithms, like sampling, linear programming, etc., are also surveyed. Other topics covered include approximate nearest-neighbor search, shape approximation, coresets, dimension reduction, and embeddings. The topics covered are relatively independent and are supplemented by exercises. Close to 200 color figures are included in the text to illustrate proofs and ideas.

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Metadata

Authors
Har-Peled, S.
Venue
Mathematical Surveys and Monographs
Published
2011-06-15
ISSN
  • 0885-4653 (ISSN-L)
  • 0076-5376
  • 2331-7159
OpenAlex
W596522316
Cited by
315
References
48
FWCI
50.13
Type
book
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Geometric Approximation Algorithms. https://app.cochat.ai/papers/10.1090/surv/173
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Har-Peled, S. (2011). Geometric Approximation Algorithms. Mathematical Surveys and Monographs. https://doi.org/10.1090/surv/173

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.