Algebra Etc. (@algebrafact) 's Twitter Profile
Algebra Etc.

@algebrafact

Tweets about algebra, number theory, and miscellaneous math by @JohnDCook.

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linkhttp://JohnDCook.com calendar_today30-01-2010 21:11:41

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The perpetually undervalued least-squares: minₓ‖y−Ax‖² can teach a lot about some complex ideas in modern machine learning including overfitting & double-descent. Let's assume A is n-by-p. So we have n data points and p parameters 1/10

The perpetually undervalued least-squares:

minₓ‖y−Ax‖²

can teach a lot about some complex ideas in modern machine learning including overfitting & double-descent.

Let's assume A is n-by-p. So we have n data points and p parameters

1/10
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Demystifying points at infinity in projective planes and enumerating the elements of a finite projective plane. johndcook.com/blog/2022/04/2…

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The Lucas numbers satisfy the same recurrence relation as the Fibonacci numbers, but start with 2 and 1 rather 0 and 1. Here's an equation relating Lucas and Fibonacci numbers.

The Lucas numbers satisfy the same recurrence relation as the Fibonacci numbers, but start with 2 and 1 rather 0 and 1.

Here's an equation relating Lucas and Fibonacci numbers.
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Euler: If m and n are relatively prime, n^{φ(m)} is congruent to 1 modulo m. Definition of φ(n) en.wikipedia.org/wiki/Euler%27s…

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Hadamard's inequality: if H is a positive semidefinite Hermitian matrix, the determinant of H is bounded by the product of its diagonal elements.

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Hadamard's inequality The absolute value of the determinant of a complex matrix is bounded by the product of the lengths of its column vectors.