About the Project

error measures

AdvancedHelp

(0.001 seconds)

5 matching pages

1: 3.1 Arithmetics and Error Measures
§3.1 Arithmetics and Error Measures
§3.1(v) Error Measures
The relative precision is … The mollified error is …
2: 3.2 Linear Algebra
Because of rounding errors, the residual vector 𝐫 = 𝐛 𝐀 𝐱 is nonzero as a rule. … The sensitivity of the solution vector 𝐱 in (3.2.1) to small perturbations in the matrix 𝐀 and the vector 𝐛 is measured by the condition numberThen we have the a posteriori error bound … If 𝐀 is nondefective and λ is a simple zero of p n ( λ ) , then the sensitivity of λ to small perturbations in the matrix 𝐀 is measured by the condition number
3: Errata
For confirmed errors, the Editors have made the corrections listed here. … This especially included updated information on matrix analysis, measure theory, spectral analysis, and a new section on linear second order differential operators and eigenfunction expansions. … The specific updates to Chapter 18 include some results for general orthogonal polynomials including quadratic transformations, uniqueness of orthogonality measure and completeness, moments, continued fractions, and some special classes of orthogonal polynomials. … The spectral theory of these operators, based on Sturm-Liouville and Liouville normal forms, distribution theory, is now discussed more completely, including linear algebra, matrices, matrices as linear operators, orthonormal expansions, Stieltjes integrals/measures, generating functions. …
  • Subsection 18.28(iv)

    At the end of the subsection the text which originally stated “then the measure in (18.28.10) is uniquely determined” has been updated to be “then the measure in (18.28.10) is the unique orthogonality measure”.

  • 4: DLMF Project News
    error generating summary
    5: Bibliography M
  • P. Martín, R. Pérez, and A. L. Guerrero (1992) Two-point quasi-fractional approximations to the Airy function Ai ( x ) . J. Comput. Phys. 99 (2), pp. 337–340.
  • A. Máté, P. Nevai, and W. Van Assche (1991) The supports of measures associated with orthogonal polynomials and the spectra of the related selfadjoint operators. Rocky Mountain J. Math. 21 (1), pp. 501–527.
  • F. Matta and A. Reichel (1971) Uniform computation of the error function and other related functions. Math. Comp. 25 (114), pp. 339–344.
  • J. P. McClure and R. Wong (1978) Explicit error terms for asymptotic expansions of Stieltjes transforms. J. Inst. Math. Appl. 22 (2), pp. 129–145.