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cross-entropy method

Monte Carlo method for importance sampling and optimization
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cross-entropy method

Summary

cross-entropy method ranks in the top 2% of general entities by monthly Wikipedia readership (103 views/month).[1]

Key Facts

  • cross-entropy method's Freebase ID is recorded as /m/0f3m1g[2].
  • cross-entropy method's Microsoft Academic ID is recorded as 75782508[3].
  • cross-entropy method's GitHub topic is recorded as cross-entropy-method[4].
  • cross-entropy method's OpenAlex ID is recorded as C75782508[5].

Why It Matters

cross-entropy method ranks in the top 2% of general entities by monthly Wikipedia readership (103 views/month).[1]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . Freebase Data Dumps. wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . OpenAlex. Retrieved . docs.openalex.org. Provenance: wikidata.org.

Aggregate / graph-position facts

  1. [1] ↑ . Wikimedia Foundation. dumps.wikimedia.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). cross-entropy method. Retrieved April 10, 2026, from https://4ort.xyz/entity/cross-entropy-method
MLA “cross-entropy method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 10 Apr. 2026, https://4ort.xyz/entity/cross-entropy-method.
BibTeX @misc{4ortxyz_cross-entropy-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{cross-entropy method}}, year = {2026}, url = {https://4ort.xyz/entity/cross-entropy-method}, note = {Accessed: 2026-04-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): cross-entropy method — https://4ort.xyz/entity/cross-entropy-method (retrieved 2026-04-10)

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