<--- Back to Details
First PageDocument Content
Theoretical computer science / Mathematics / Mathematical logic / Logic in computer science / Programming language semantics / Measure theory / Boolean algebra / Probability theory / Denotational semantics / Predicate transformer semantics / Sigma-algebra / PP
Date: 2007-10-18 09:43:37
Theoretical computer science
Mathematics
Mathematical logic
Logic in computer science
Programming language semantics
Measure theory
Boolean algebra
Probability theory
Denotational semantics
Predicate transformer semantics
Sigma-algebra
PP

Abstract interpretation of probabilistic semantics David Monniaux http://www.di.ens.fr/~monniaux LIENS, 45 rue d’UlmParis cedex 5, France

Add to Reading List

Source URL: www-verimag.imag.fr

Download Document from Source Website

File Size: 390,79 KB

Share Document on Facebook

Similar Documents

A Result of Vapnik with Applications Martin Anthony Department of Statistical and Mathematical Sciences London School of Economics Houghton Street London WC2A 2AE, U.K.

A Result of Vapnik with Applications Martin Anthony Department of Statistical and Mathematical Sciences London School of Economics Houghton Street London WC2A 2AE, U.K.

DocID: 1rr7l - View Document

Improved approximation for Fr´echet distance on c-packed curves matching conditional lower bounds (extended abstract) Karl Bringmann∗  Marvin K¨

Improved approximation for Fr´echet distance on c-packed curves matching conditional lower bounds (extended abstract) Karl Bringmann∗ Marvin K¨

DocID: 1rqIU - View Document

Microsoft PowerPoint - Presentationshaheen1.pptx

Microsoft PowerPoint - Presentationshaheen1.pptx

DocID: 1rn3C - View Document

Drift Analysis A Tool for Analysing Randomised Search Heuristics1 Per Kristian Lehre ASAP Research Group School of Computer Science

Drift Analysis A Tool for Analysing Randomised Search Heuristics1 Per Kristian Lehre ASAP Research Group School of Computer Science

DocID: 1rjXB - View Document

Contents  Formaliz. MathModelling Real World Using Stochastic Processes and Filtration By Peter Jaeger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Contents Formaliz. MathModelling Real World Using Stochastic Processes and Filtration By Peter Jaeger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

DocID: 1rh7d - View Document