Gregory Valiant. The Modern Algorithmic Toolbox. Stanford
It covers hashing, dimension reduction, linear and convex programming, gradient descent and regression, sampling and estimation, compressive sensing, linear-algebraic techniques (principal components analysis, singular value decomposition, spectral techniques), and an intro to…
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Kelner. Topics in Theoretical Computer Science: An Algorithmist's Toolkit. MIT ocw.mit.edu
It covers a collection of geometric techniques that apply broadly in modern algorithm design.
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Advanced Algorithms courses.csail.mit.edu
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Atallah & Blanton. Algorithms and Theory of Computation Handbook: Special Topics and Techniques routledge.com
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Introduction to Algorithms mitpress.mit.edu
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Madhur Tulsiani. Mathematical Toolkit home.ttic.edu
Things prof. Madhur wish he knew in first year of grad school.
Theoretical Computer Science › TCS Toolkit > Lecture Notes: “It covers hashing, dimension reduction, linear and convex programming, gradient descent and regression, sampling and estimation, compressive sensing, linear-algebraic techniques (principal components analysis, singular value decomposition, spectral techniques), and an intro to…”