Daily Log
Daily topics and PDFs (handouts and worksheets) will appear here as they occur. Note that our textbook by Trefethen and Bau (=T&B) is organized by Lectures. See also the Schedule. You do not have to turn-in any handout or worksheet!
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    Friday 31 October: 
 machine epsilon meaning
 worksheet: floating-point practice (PDF)
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    Wednesday 29 October: 
 axioms for floating point
 handout: summary of the IEEE 754 floating-point standard (PDF)
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    Monday 27 October: 
 floating point (Lecture 13 in T&B)
 worksheet: condition numbers practice (PDF)
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    Friday 24 October: 
 computing condition numbers
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    Wednesday 22 October: 
 cont.
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    Monday 20 October: 
 defining conditioning (Lecture 12 in T&B)
 is the stuff we are learning relevant to modern AI? oh yes!
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    Friday 17 October: 
 algorithms for linear least squares
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    Wednesday 15 October: 
 linear least squares (Lecture 11 in T&B)
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    Monday 13 October: 
 cont.
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    Friday 10 October: 
 Householder reflections for QR (Lecture 10 in T&B)
 handout: the 4-page paper by Householder in 1958 (PDF)
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    Wednesday 8 October: 
 Midterm Quiz 1
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    Monday 6 October: 
 review-by-worksheet, more MGS
 worksheet: recalling and using matrix factorizations (PDF)
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    Friday 3 October: 
 modified Gram-Schmidt (Lecture 8 in T&B)
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    Wednesday 1 October: 
 cont.
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    Monday 29 September: 
 classical Gram-Schmidt as QR (Lecture 7 in T&B)
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    Friday 26 September: 
 orthogonal projectors
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    Wednesday 24 September: 
 projectors (Lecture 6 in T&B)
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    Monday 22 September: 
 applications of SVD
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    Friday 19 September: 
 existence of SVD
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    Wednesday 17 September: 
 computing SVD by hand and code (Lecture 5 in T&B)
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    Monday 15 September: 
 singular value decomposition (SVD)! (Lecture 4 in T&B)
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    Friday 12 September: 
 class cancelled
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    Wednesday 10 September: 
 induced matrix norms
 handout: matrix norm essentials (PDF)
 article in Danish on Piet Hein, including Sergels plaza in Stockholm
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    Monday 8 September: 
 vector norms (Lecture 3 in T&B)
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    Friday 5 September: 
 unitary matrices
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    Wednesday 3 September: 
 inner products, orthogonality, adjoints (Lecture 2 in T&B)
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    Friday 29 Aug: 
 matrix multiplication, invertible matrices, Matlab intro
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    Wednesday 27 Aug: 
 thinking matrix multiplication (Lecture 1 in T&B)
 example Matlab/Octave, Python, Julia codes, and PDF documentation (in .zip)
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    Monday 25 Aug: 
 getting started
 worksheet: visualize vectors and matrices (PDF)