An Algorithm for Scaling Matrices and Computing the Minimum Cycle Mean in a Digraph.
An Algorithm for Segment Approximation.
An algorithm for solving the absolute value equation.
An algorithm for the approximation by cubic splines
An algorithm for the computation of polynomial splines of odd degree
An Algorithm for the Computation of the Exponential Spline.
An Algorithm for the Hausdorff Moment Problem.
An algorithm for the inversion of partitioned matrices
An Algorithm for the Numerical Evaluation of Certain Cauchy Principal Value Integrals.
An algorithm for the numerical solution of differential equations of fractional order.
An Algorithm For The Solution Of A 2 × 2 System Of Nonlinear Algebraic Equations
An Algorithm for the Zeros of Transcendental Functions.
An algorithm that carries a square matrix into its transpose by an involutory congruence transformation.
An Algorithm to Compute a Sparse Basis of the Null Space.
An Algorithmic Approach to Hermite-Birkhoff-Interpolation.
An alternating direction implicit method for orthogonal spline collocation linear systems.
An alternating-direction iteration method for Helmholtz problems
An alternating-direction iterative procedure is described for a class of Helmholz-like problems. An algorithm for the selection of the iteration parameters is derived; the parameters are complex with some having positive real part and some negative, reflecting the noncoercivity and nonsymmetry of the finite element or finite difference matrix. Examples are presented, with an applications to wave propagation.
An Alternative Computational Method for the Approximation of Random Functions.
An alternative extension of the k-means algorithm for clustering categorical data
Most of the earlier work on clustering has mainly been focused on numerical data whose inherent geometric properties can be exploited to naturally define distance functions between data points. Recently, the problem of clustering categorical data has started drawing interest. However, the computational cost makes most of the previous algorithms unacceptable for clustering very large databases. The -means algorithm is well known for its efficiency in this respect. At the same time, working only on...
An Alternative Givens Ordering.