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The Best Approximation Method

  • Theodore V. HromadkaII

Abstract

Many important engineering problems fall into the category of being linear operators, with supporting boundary conditions. In this chapter, an inner-product and norm is used which enables the engineer to approximate such engineering problems by developing a generalized Fourier series. The resulting approximation is the “best” approximation in that a least-squares (L2) error is minimized simultaneously for fitting both the problem’s boundary conditions and satisfying the linear operator relationship (the governing equations) over the problem’s domain (both space and time). Because the numerical technique involves a well-defined inner product, error evaluation is readily available using Bessel’s inequality. Minimization of the approximation error is subsequently achieved with respect to a weighting of the inner product components, and the addition of basis functions used in the approximation.

Keywords

Evaluation Point Approximation Effort Unit Hydrograph Supporting Boundary Condition Linear Operator Equation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1993

Authors and Affiliations

  • Theodore V. HromadkaII
    • 1
  1. 1.Fullerton and Computational Hydrology InstituteCalifornia State UniversityIrvineUSA

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