The application of Richardson iteration to a symmetric, but indefinite linear system requires certain parameters which can be determined from the zeros in the error of a certain best polynomial approximant on some set S known to contain the spectrum of the coefficient matrix. It is pointed out that this error can also be obtained as a multiple of the extremal polynomial for the linear functional p- p(O), and this leads to an efficient Remes type algorithm for its determination. A program incorporating this algorithm for the case that S consists of two intervals bracketing zero is also given. AMS(MOS) Subject Classification- 65F10, 65D15, 41A10 Key Words- Richardson iteration, symmetric indefinite, Remes, norm preserving extension, norm calc...
We discuss the design and implementation of a suite of functions for solving symmetric indefinite l...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
AbstractTo solve the linear N×N system (1) Ax=a for any nonsingular matrix A, Richardson's iteration...
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AbstractSometime ago two articles [G. Opfer, G. Schober, Richardson’s Iteration for Nonsymmetric Mat...
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This paper presents linear algebra techniques used in the implementation of an interior point method...
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The extended Euclidean algorithm for polynomials and formal power series that is used for the recurs...
AbstractAn adaptive Richardson iteration method is presented for the solution of large linear system...
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Abstract—The Berlekamp–Massey algorithm (further, the BMA) is interpreted as an algo-rithm for const...
A new approach for the implementation of interior-point methods for solving linear programs is propo...
We describe how the Euclidean algorithm can be interpreted as a method to solve Pade approximation p...
We discuss the design and implementation of a suite of functions for solving symmetric indefinite l...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
AbstractTo solve the linear N×N system (1) Ax=a for any nonsingular matrix A, Richardson's iteration...
AbstractLet Ax=b be a large linear system of equations, and let the eigenvalues of the matrix A lie ...
AbstractSometime ago two articles [G. Opfer, G. Schober, Richardson’s Iteration for Nonsymmetric Mat...
AbstractLet Ax=b be a linear system of algebraic equations with a large nonhermitian matrix A, and l...
AbstractNewbery's method is completed to a method for the construction of a (complex) symmetric or n...
This paper presents linear algebra techniques used in the implementation of an interior point method...
AbstractHybrid iterative methods that combine a conjugate direction method with a simpler iteration ...
The extended Euclidean algorithm for polynomials and formal power series that is used for the recurs...
AbstractAn adaptive Richardson iteration method is presented for the solution of large linear system...
AbstractZeilberger's algorithm provides a method to compute recurrence and differential equations fr...
Abstract—The Berlekamp–Massey algorithm (further, the BMA) is interpreted as an algo-rithm for const...
A new approach for the implementation of interior-point methods for solving linear programs is propo...
We describe how the Euclidean algorithm can be interpreted as a method to solve Pade approximation p...
We discuss the design and implementation of a suite of functions for solving symmetric indefinite l...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
AbstractTo solve the linear N×N system (1) Ax=a for any nonsingular matrix A, Richardson's iteration...