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Polynomial interpolation

Distinct nodes determine a unique polynomial of bounded degree passing through their data.

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  • Finite differences

    Differences of nearby samples approximate derivatives, balancing truncation and roundoff errors.

  • Floating-point arithmetic

    Finite-precision arithmetic introduces rounding and has bounded representable ranges.

  • LU factorization

    With appropriate pivoting, triangular factors reduce linear-system solution to substitution.

  • Splines

    Piecewise polynomials joined with specified smoothness approximate data and curves.

  • Bisection method

    Continuity and opposite endpoint signs allow repeated halving to bracket a root.

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Numerical Analysis and Scientific Computing

Explore errors and equation solving; approximation and quadrature; linear systems and differential equations. Concepts and connections are available independently of video coverage.

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