Complexity of Computations with Matrices and Polynomials
Copyright policy )Complexity of Computations with Matrices and Polynomials
We review the complexity of polynomial and matrix computations, as well as their various correlations to each other and some major techniques for the design of algebraic and numerical algorithms.
- King’s University United States
- Columbia University Libraries, Open Scholarship Services United States
- Columbia University United States
- Columbia University United States
- Columbia University Libraries, Digital Scholarship United States
Analysis of algorithms and problem complexity, Other matrix algorithms, residue arithmetic, Symbolic computation and algebraic computation, Matrices--Computer programs, Computer science, 004, 510, binary segmentations, Computation of special functions and constants, construction of tables, Complexity and performance of numerical algorithms, Polynomials--Computer programs, arithmetic complexity, compact multigrid algorithm, Computational aspects of field theory and polynomials, fixed and variable precision computations, polynomial computations, complexity estimates, matrix computations, polynomial division, Algorithms
Analysis of algorithms and problem complexity, Other matrix algorithms, residue arithmetic, Symbolic computation and algebraic computation, Matrices--Computer programs, Computer science, 004, 510, binary segmentations, Computation of special functions and constants, construction of tables, Complexity and performance of numerical algorithms, Polynomials--Computer programs, arithmetic complexity, compact multigrid algorithm, Computational aspects of field theory and polynomials, fixed and variable precision computations, polynomial computations, complexity estimates, matrix computations, polynomial division, Algorithms
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