J. N. Lyness
Argonne National Laboratory
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by J. N. Lyness.
Mathematics of Computation | 1989
Ian H. Sloan; J. N. Lyness
We provide a classification of lattice rules. Applying elementary group theory, we assign to each s-dimensional lattice rule a rank m and a set of positive integer invariants n/sub 1/ n/sub 2/....,n/sub s/. The number ..nu..(Q) of abscissas required by the rule is the product n/sub 1/n/sub 2/...n/sub s/, and the rule may be expressed in a canonical form with m independent summations. Under this classification an N-point number-theoretic rule in the sense of Korobov and Conroy is a rank m = 1 rule having invariants N, 1,1,...,1, and the product trapezoidal rule using n/sup s/ points in rank m = s rule having invariants n,n...,n. Besides providing a canonical form, we give some of the properties of copy rules and of projections into lower dimensions.
Mathematics of Computation | 1993
Terje O. Espelid; Alan Genz; J. N. Lyness
Numerical integration rules numerical integration error analysis numerical integration applications numerical integration algorithms and software. Appendix: Final program.
ACM Transactions on Mathematical Software | 1988
Burton S. Garbow; Giulio Giunta; J. N. Lyness; Almerico Murli
Here we present a brief documentation of the software package WEEKS written in FORTRAN 77. The mathematical background and general information about its performance are described in the accompanying paper on pages 163-170 of this issue. Further information of a theoretical nature may be found in [3]. Some of the design characteristics of this package are described in detail in a preliminary report [2]. However, there are minor differences between the implementation described there and that described here.
Numerische Mathematik | 1986
Bruno Gabutti; J. N. Lyness
SummaryThe purpose of this paper is to construct a generalization of the Euler-Knopp transformation. Using this, one may recover previously known transformations, derive new transformations useful for numerical calculations and derive generating functions and other formulas of theoretical interest involving well-known functions.
Numerische Mathematik | 1998
Giovanni Monegato; J. N. Lyness
Abstract. In this paper we compare G(p), the Mellin transform (together with its analytic continuation), and
Numerische Mathematik | 1985
J. N. Lyness
\overline{\overline{G}}(p)
SIAM Journal on Numerical Analysis | 1977
J. N. Lyness; G. Monegato
, the related Hadamard finite-part integral of a function g(x), which decays exponentially at infinity and has specified singular behavior at the origin. Except when p is a nonpositive integer, these coincide. When p is a nonpositive integer,
Computing | 1991
J. N. Lyness; Tor Sørevik
\overline{\overline{G}}(p)
Numerische Mathematik | 1970
J. N. Lyness; J. B. B. McHugh
is well defined, but G(p) has a pole. We show that the terms in the Laurent expansion about this pole can be simply expressed in terms of the Hadamard finite-part integral of a related function. This circumstance is exploited to provide a conceptually uniform proof of the various generalizations of the Euler-Maclaurin expansion for the quadrature error functional.
Mathematics of Computation | 1991
J. N. Lyness; Tor Sørevik; P. Keast
SummaryThe classical Euler Maclaurin Summation Formula expresses the difference between a definite integral over [0, 1] and its approximation using the trapezoidal rule with step lengthh=1/m as an asymptotic expansion in powers ofh together with a remainder term. Many variants of this exist some of which form the basis of extrapolation methods such as Romberg Integration. in this paper a variant in which the integral is a Cauchy Principal Value integral is derived. The corresponding variant of the Fourier Coefficient Asymptotic Expansion is also derived. The possible role of the former in numerical quadrature is discussed.