Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and ...

Add a description, image, and links to the lagrange-polynomial-interpolation topic page so that developers can more easily learn about it ...

The advantages of bar centric interpolation formulations in computation are small number of floating points operations and good numerical stability. Adding a new data pair, the bar centric ...

During the constructing of the interpolation polynomial, we infer a sufficient condition such that Nonlinear System has limited L 2 -gain. The sufficient condition is a group of linear matrix ...