About: Gaussian integral is a research topic. Over the lifetime, 564 publications have been published within this topic receiving 11356 citations. The topic is also known as: Euler–Poisson integral.
TL;DR: In this paper, the authors present a model of many-chain systems with Fourier series and transforms, which they call Fourier Series and Transforms (FST) and Gaussian Integrals and Probability Theory.
Abstract: 1. Introduction 2. Ideal Chain Models 3. Single Chains in External Fields 4. Models of Many-Chain Systems 5. Self-Consistent Field Theory 6. Beyond Mean-Field Theory A. Fourier Series and Transforms B. Gaussian Integrals and Probability Theory C. Calculus of Functionals D. Complex Langevin Theory
TL;DR: This method is computationally simple and numerically well behaved, and has been incorporated into a new molecular SCF program HONDO, and preliminary tests indicate that it is competitive with existing methods especially for highly angularly dependent functions.
Abstract: This paper is concerned with the efficient computation of the ubiquitous electron repulsion integral in molecular quantum mechanics. Differences and similarities in organization of existing Gaussian integral programs are discussed, and a new strategy is developed. An analysis based on the theory of orthogonal polynomials yields a general formula for basis functions of arbitrarily high angular momentum. (ηiηj∥ηkηl) = Σα=1,nIx(uα) Iy(uα) I*z(uα) By computing a large block of integrals concurrently, the same I factors may be used for many different integrals. This method is computationally simple and numerically well behaved. It has been incorporated into a new molecular SCF program HONDO. Preliminary tests indicate that it is competitive with existing methods especially for highly angularly dependent functions.
TL;DR: In this article, an approximate numerical linear dependence among the columns of the two-electron integral matrix and the positiveness of the Coulomb operator are exploited in order to reduce the number of integrals that need to be calculated when a numerical accuracy is given by the machine in use or by the choice of the investigator.
Abstract: Approximate numerical linear dependence among the columns of the two-electron integral matrix and the positiveness of the Coulomb operator are exploited in order to reduce the number of integrals that need to be calculated when a numerical accuracy is given by the machine in use or by the choice of the investigator. Numerical results presented indicate that the method leads to an algorithm for carrying out the two-electron integral four-index transformation which in practice can be achieved in a small fraction (approximately 1/5 to 1/3) of the time required to generate the integrals by one of the fastest available Gaussian integral programs, Almlof's MOLECULE. This effectively removes one of the major bottlenecks of computational quantum chemistry.
TL;DR: A general theorem is provided for the moments of a complex Gaussian video process that states that an n th order central product moment is zero if n is odd and is equal to a sum of products of covariances when n is even.
Abstract: A general theorem is provided for the moments of a complex Gaussian video process. This theorem is analogous to the well-known property of the multivariate normal distribution for real variables, which states that an n th order central product moment is zero if n is odd and is equal to a sum of products of covariances when n is even.