Gram–Schmidt procedure
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1: 3.11 Approximation Techniques
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►A more efficient procedure is as follows.
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►A general procedure is to approximate by a rational function (vanishing at infinity) and then approximate by .
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►A set of functions that is linearly independent on the set (compare (3.11.36)) can always be orthogonalized in the sense given in the preceding paragraph by the Gram–Schmidt procedure; see Gautschi (1997a).
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2: Gerhard Wolf
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► Schmidt) of the Chapter Double Confluent Heun
Equation in the book Heun’s Differential Equations (A.
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3: Hans Volkmer
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►Subsequently, he spent eleven years at the University of Essen as an assistant to Professor Dieter Schmidt, and then in 1990 joined the faculty at the University of Wisconsin–Milwaukee.
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4: 28.36 Software
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►See also Clemm (1969), Delft Numerical Analysis Group (1973), Rengarajan and Lewis (1980), and Schäfke and Schmidt (1966).
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5: 17.18 Methods of Computation
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►Method (1) can sometimes be improved by application of convergence acceleration procedures; see §3.9.
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6: 8.25 Methods of Computation
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►A numerical inversion procedure is also given for calculating the value of (with 10S accuracy), when and are specified, based on Newton’s rule (§3.8(ii)).
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►An efficient procedure, based partly on the recurrence relations (8.8.5) and (8.8.6), is described in Gautschi (1979b, 1999).
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7: 31.6 Path-Multiplicative Solutions
8: 27.18 Methods of Computation: Primes
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►An alternative procedure is the binary quadratic sieve of Atkin and Bernstein (Crandall and Pomerance (2005, p. 170)).
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9: 27.16 Cryptography
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►Procedures for finding such primes require very little computer time.
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10: Bille C. Carlson
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►In theoretical physics he is known for the “Carlson-Keller Orthogonalization”, published in 1957, Orthogonalization Procedures and the Localization of Wannier Functions, and the “Carlson-Keller Theorem”, published in 1961, Eigenvalues of Density Matrices.
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