Quadrature formulas for matrix measures --- a geometric approach
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Publication:1870062
DOI10.1016/S0024-3795(02)00532-3zbMath1019.41020OpenAlexW3021213911MaRDI QIDQ1870062
William J. Studden, Dette, Holger
Publication date: 4 May 2003
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0024-3795(02)00532-3
numerical integrationquadrature formulasorthogonal matrix polynomialsmatrix measuresmoment spacesinterpolation quadrature formulas
Approximate quadratures (41A55) Numerical quadrature and cubature formulas (65D32) Basic linear algebra (15A99)
Related Items (3)
Relative asymptotics of matrix orthogonal polynomials for Uvarov perturbations: the degenerate case ⋮ Operator-valued spectral measures and large deviations ⋮ The maximization of determinants of block Toeplitz matrices with applications in optimal design theory
Cites Work
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- Principal representations and canonical moment sequences for distributions on an interval
- Polynomial interpolation and Gaussian quadrature for matrix-valued functions
- Orthogonal matrix polynomials and quadrature formulas
- Matrix measures, moment spaces and Favard's theorem for the interval \([0,1\) and \([0,\infty)\)]
- A note on the matrix valued q-d algorithm and matrix orthogonal polynomials on \([0,1\) and \([0,\infty)\)]
- Weak convergence of orthogonal polynomials
- Orthogonal matrix polynomials: zeros and Blumenthal's theorem
- Quadrature formulae
- Markov's Theorem for Orthogonal Matrix Polynomials
- Matrix Stieltjes Series and Network Models
- Some Striking Properties of Binomial and Beta Moments
- The range of the (n + 1)th moment for distributions on [0, 1]
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