Automatic Programming and Numerical Methods of Analysis

A₁ A₂ adjacency matrix algorithms analogous approximation array Block boundary value problem C₂ carried Cauchy problem cell with address coefficients command of type composite command consider construct convergence corresponding denote determined DMSM program eigenvalue problem elements enumeration equations estimate F₂ formulas fulfilled function Gram matrix graph G integers intervals of matrix inverse inverse matrix l₂ left solution Lemma Linear Algebra linear hull linear programming linear programming problem Literature Cited logarithmic norm Mathematical minimal index Minkowski inequality Newton's method norm obtain operations orthogonal orthogonal matrix P₁ parallel sequencing problem parallelism with minimal parameter partitioning Rn permutation polynomial matrix proof PRORAB mode R₁ R₂ reference S₁ sequence of matrices solving space subscheme Theorem U₁ V. N. Faddeeva V₁ V₂ vertices of graph x₁ zero