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Conditioning

Conditioning measures sensitivity of a problem's exact solution to perturbations in its data.

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  • Floating-point arithmetic

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

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    A stable algorithm controls amplification of rounding and data errors relative to the problem.

  • Bisection method

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

  • Euler method

    Euler's method advances an ODE solution using its current derivative and a step size.

  • Finite differences

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

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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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