'Approximate error' presentation slideshows

Applied Numerical Methods with MATLAB

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Error Analysis Part 1 The Basics

Error Analysis Part 1 The Basics. Key Concepts. Analytical vs. numerical Methods Representation of floating-point numbers Concept of significant digits Distinguishing different kinds of errors Round-off / chopping / truncation errors True/approximate absolute and relative errors

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Privacy of profile-based ad targeting

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Lecture 14

Lecture 14. Learning Inductive inference Probably approximately correct learning. What is learning?. Key point: all learning can be seen as learning the representation of a function. Will become clearer with more examples! Example representations: propositional if-then rules

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Approximations and Round-Off Errors Chapter 3

Approximations and Round-Off Errors Chapter 3. Significant Figures. Numerical methods yield approximate results that are close to the exact analytical solution. How confident we are in our approximate result ? In other words,

463 views • 14 slides

Central Divided Difference

Central Divided Difference. Major: All Engineering Majors Author: ???? ???????? ????? ???? http://numericalmethods.eng.usf.edu Numerical Methods for STEM undergraduates. Definition. y. Slope at. f(x). x. Central Divided Difference. Example. Example :

167 views • 14 slides