Algorithms, Approximation, Optimization
The focus of these notebooks is the text Foundations of Applied Mathematics: Algorithms, Approximation, Optimization. Topics covered include dynamic programming, approximation, probability, optimization, and algorithm analysis, all essential to preparing the reader to work with mathematical computation.
Available Chapters
Chapter 1: Intro to Algorithms
Chapter 2: Asymptotic Integrals
Chapter 6: Probabilistic Sampling and Estimation
Chapter 9: Polynomial Approximation and Interpolation
Chapter 11: Fundamentals of Numerical Computation
Chapter 12: Fundamentals of Unconstrained Optimization