Introduction to numerical analysis: 2nd edition
By B. Hildebrand. 1987
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Citations in the corpus
- On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions (2015, background): “Gaussian quadrature is another class of methods for one-dimensional integrals: it is based on a basis of orthogonal polynomials for L 2 ( dρ ) where dρ is a probability measure supported in an interval, and their zeros (Hildebrand, 1987, Chap.”
- Approximate Crank-Nicolson schemes for the 2-D finite-difference time-domain method for TE/sub z/ waves (2004, methodology): “The CN scheme is a well-known implicit algorithm in numerical computation [7], [8].”
- Lines and Points in Three Views and the Trifocal Tensor (1997, methodology): “We may solve these equations using linear least-squares methods (Press et al., 1988; Atkinson, 1989) to find M ′ = [aij ] and M ′′ = [bij ].”