Leon Q. Brin’s "Tea Time Numerical Analysis" #numerical-methods #ebook home page (CC-BY-SA). Very good coverage, including historical documents. Starts a bit more basic than the other alternatives. Covers root finding (bisection, fixed-point iteration, Steffensen’s method for accelerating it, Newton’s method, synthetic division, Müller’s method), interpolation (Lagrange polynomials, Neville’s method, Newton polynomials, divided differences, Bèzier curves, splines), quadrature, ordinary differential equations (Taylor methods, #Runge-Kutta, adaptive Runge-Kutta). Includes proofs and error bounds, with more of a mathematical orientation than the alternatives. #math 375 pp.
on 02021-12-05review of #Tea-Time-Numerical-Analysis #numerical-methods textbook #math
on 02021-12-05