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Automatic Derivation of the Irrationality of e

โœ Scribed by Michael Beeson


Book ID
104445655
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
868 KB
Volume
23
Category
Article
ISSN
1571-0661

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๐Ÿ“œ SIMILAR VOLUMES


Automatic Derivation of the Irrationalit
โœ Michael Beeson ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 375 KB

As part of a project on automatic generation of proofs involving both logic and computation, we have automatically generated a proof of the irrationality of e. The proof involves inequalities, bounds on infinite series, type distinctions (between real numbers and natural numbers), a subproof by math

The Irrationality of e4: A Simple Proof
โœ Michael Eastham ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› The Mathematical Association ๐ŸŒ English โš– 275 KB
Automatic derivation of probabilistic in
โœ Manfred Jaeger ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 229 KB

A probabilistic inference rule is a general rule that provides bounds on a target probability given constraints on a number of input probabilities. Example: from P AjB T r infer P XAjB P 1 ร€ r; 1. Rules of this kind have been studied extensively as a deduction method for propositional probabilistic