On the reduction of a sparse matrix to Hessenberg form
Growth minimization of nonzero elements in sparse matrix during reduction to Hessenberg triangular form by Gaussian similarity transformations
Engineering topics
Publications and source records attributed to Tewarson, R. P..
Growth minimization of nonzero elements in sparse matrix during reduction to Hessenberg triangular form by Gaussian similarity transformations
Sparse matrices inverses and eigenvectors computation methods, giving bibliography
Symmetric sparse matrices transformation to triple diagonal form, giving algorithms for nonzero elements growth minimization
Deriving algorithms for computations involving sparse matrices
Algorithm for Chebyshev solution of n plus 1 inconsistent linear equations in n unknowns, using minimax technique
Minimization algorithms unified derivation, using Hessian matrix inverse
Transformations of sparse linear systems by row-column permutations are considered and various algorithms are constructed to transform arbitrary symmetric positive definite sparse matrices, as well as matrices in band form, doubly bordered band form, and doubly bordered block diagonal form.
Least squares iterative method for solving simultaneous linear equations having singular coefficient matrix
Improving computations in DFP method for function minimization using doubly relaxed generalized inverse of matrix
Algorithm minimizing nonzero elements during Crout reduction of sparse matrices
Unitary matrix representing generalized inverses, proving weak method of steepest descent for least squares solution of equations
Generalized inverse of matrix computation method, using elementary orthogonal matrices and Gaussian elimination
Computational methods of homogeneous ill- conditioned and singular simultaneous linear equations
Generalized matrix inverse computational method using Gauss-Jordan elimination and orthogonal triangulations
Algorithm to solve simultaneous linear equations with column matrix coefficient
Ascent algorithm for Chebyshev solution of inconsistent linear equations, noting use for linear programming
Optimum order for column orthonormalization of sparse matrices, applying results to Gram-Schmidt and Householder methods
Summaries of publications and reports generated in connection with studies on sparse matrix inverse product forms