In our earlier works we have given the` ̈twice is enough` ̈ type algorithms to determine conjugate directions of positive definite symmetric matrices. In this work we show that it can be generalized to any symmetric matrices. By testing 32 algorithms from the S2 subclass we show that there are 4 algorithms that yield very precise conjugate directions. We compared 13 well-known algorithms like the Lanczos and Hestenes types as an example and the results show the superiority of the best performing algorithms from the S2. Furthermore we show that there are 4 algorithms that give almost exact ranks in for the test problems. We propose some very good algorithms for the difficult and ill-conditioned test problems derived from the Pascal and Hilbert matrices. As a partial result we computed the rank of the matrices as well. In some cases the S2 subclass computes more accurate ranks compared to the MATLAB built in rank function. According to our difficult and ill-conditioned test problems we found that in most cases algorithms the S2 subclass yield far better results than the classical methods.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In our earlier works we have given the` twice is enough` type algorithms to determine conjugate directions of positive definite symmetric matrices. In this work we show that it can be generalized to any symmetric matrices. By testing 32 algorithms from the S2 subclass we show that there are 4 algorithms that yield very precise conjugate directions. We compared 13 well-known algorithms like the Lanczos and Hestenes types as an example and the results show the superiority of the best performing algorithms from the S2. Furthermore we show that there are 4 algorithms that give almost exact ranks in for the test problems. We propose some very good algorithms for the difficult and ill-conditioned test problems derived from the Pascal and Hilbert matrices. As a partial result we computed the rank of the matrices as well. In some cases the S2 subclass computes more accurate ranks compared to the MATLAB built in rank function. According to our difficult and ill-conditioned test problems we found that in most cases algorithms the S2 subclass yield far better results than the classical methods. 356 pp. Englisch. N° de réf. du vendeur 9786200642769
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Taschenbuch. Etat : Neu. Twice is enough method for computation of conjugate directions in ABS | József Abaffy (u. a.) | Taschenbuch | Englisch | 2023 | GlobeEdit | EAN 9786200642769 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 126678002
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In our earlier works we have given the` ¿twice is enough` ¿ type algorithms to determine conjugate directions of positive definite symmetric matrices. In this work we show that it can be generalized to any symmetric matrices. By testing 32 algorithms from the S2 subclass we show that there are 4 algorithms that yield very precise conjugate directions. We compared 13 well-known algorithms like the Lanczos and Hestenes types as an example and the results show the superiority of the best performing algorithms from the S2. Furthermore we show that there are 4 algorithms that give almost exact ranks in for the test problems. We propose some very good algorithms for the difficult and ill-conditioned test problems derived from the Pascal and Hilbert matrices. As a partial result we computed the rank of the matrices as well. In some cases the S2 subclass computes more accurate ranks compared to the MATLAB built in rank function. According to our difficult and ill-conditioned test problems we found that in most cases algorithms the S2 subclass yield far better results than the classical methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 356 pp. Englisch. N° de réf. du vendeur 9786200642769
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In our earlier works we have given the` twice is enough` type algorithms to determine conjugate directions of positive definite symmetric matrices. In this work we show that it can be generalized to any symmetric matrices. By testing 32 algorithms from the S2 subclass we show that there are 4 algorithms that yield very precise conjugate directions. We compared 13 well-known algorithms like the Lanczos and Hestenes types as an example and the results show the superiority of the best performing algorithms from the S2. Furthermore we show that there are 4 algorithms that give almost exact ranks in for the test problems. We propose some very good algorithms for the difficult and ill-conditioned test problems derived from the Pascal and Hilbert matrices. As a partial result we computed the rank of the matrices as well. In some cases the S2 subclass computes more accurate ranks compared to the MATLAB built in rank function. According to our difficult and ill-conditioned test problems we found that in most cases algorithms the S2 subclass yield far better results than the classical methods. N° de réf. du vendeur 9786200642769
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