'Approximate computation' diaporamas de présentation

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Proving Programs Robust

Proving Programs Robust

Proving Programs Robust. Swarat Chaudhuri 1,3 Sumit Gulwani 2 Roberto Lublinerman 1 Sara Navidpour 1. 1 Pennsylvania State University 2 Microsoft Research 3 Rice University. Uncertainty. Uncertainty: stale satellite data, erroneous sensor measurements, �

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Approximate computation and implicit regularization in large-scale data analysis

Approximate computation and implicit regularization in large-scale data analysis

Approximate computation and implicit regularization in large-scale data analysis. Michael W. Mahoney Stanford University Sept 2011 (For more info, see: http://cs.stanford.edu/people/mmahoney). Motivating observation . Theory of NP-completeness is a very useful theory

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338 views • 19 slides
Approximate computation and implicit regularization in large-scale data analysis

Approximate computation and implicit regularization in large-scale data analysis

Approximate computation and implicit regularization in large-scale data analysis. Michael W. Mahoney Stanford University Sept 2011 (For more info, see: http://cs.stanford.edu/people/mmahoney). Motivating observation . Theory of NP-completeness is a very useful theory

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372 views • 19 slides
2.Geometric meaning of the differential

2.Geometric meaning of the differential

2.4 The differential. 1.Concept of the differential. 2.Geometric meaning of the differential. 3.Rules of operations on differentials. 4.Appliction of the differential in approximate computation. 1.Concept of the differential. and is called. Definition 2.4.1.

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517 views • 14 slides

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