Engineering math course in the first year of undergraduate would cover vector calculus.
Jacobian and Hessian matrices are naturally covered. Jacobian matrix of a vector-valued
function \(\mathbf{f}:\mathbb{R}^n\to\mathbb{R}^m\) is
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Linear regression and confidence
Linear regression assumes a set of coordinates \((x_i, y_i),\ i=1,\cdots,N\) fits
the relation
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Knuth (2000) Dancing Link
A paper that is easy to read, summarizing the development of algorithm to set
cover problem. The name “dancing link” is how Knuth called his implementation of
depth-first-search. Wikipedia has an article about that, named Knuth’s
Algorithm X.
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Using Intel Intrinsics
Intel intrinsics is available in many compliers (VC++, gcc, clang, icc) to
allow SIMD programming using vector instruction sets from MMX to AVX2/3.
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Using C++17
Watched on YouTube the video of How to Adopt Modern C++17 into Your C++
Code and below are the notes.
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