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The conjugate gradient method. (English) Zbl 0123.11201

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[1] Hesteness, M. R., andE. Stiefel: Methods of Conjugate Gradients for Solving Linear Systems, NBS. J. of Res.49, 409-436 (1952). · Zbl 0048.09901
[2] Stiefel, E.: Einige Methoden der Relaxationsrechnung. ZAMP3, 1-33 (1952). · Zbl 0046.34104 · doi:10.1007/BF02080981
[3] ?: Relaxationsmethoden bester Strategie zur Lösung linearer Gleichungssysteme. Comm. Math. Helv.29, 157-179 (1955). · Zbl 0066.36703 · doi:10.1007/BF02564277
[4] ?: Kernel Polynomials in Linear Algebra and their Numerical Applications, NBS. Appl. Math. Series49, 1-22 (1958).
[5] Engeli, M., Th. Ginsburg, H. Rutishauser andE. Stiefel: Refined Iterative Methods for Computation of the Solution and the Eigenvalues of Self-adjoint Boundary Value Problems. Mitt. Inst. angew. Math. ETH Zürich, No. 8 (Basel: Birkhäuser 1959). · Zbl 0089.12103
[6] Backus, J. W., F. L. Bauer et al.: Revised Report on the Algorithmic LanguageAlgol 60. Numer. Math.4, 420-453 (1963). · Zbl 0109.35105 · doi:10.1007/BF01386340
[7] Schwarz, H. R.: Introduction toAlgol. Comm. of the ACM5, 82-95 (1962). · Zbl 0101.10407 · doi:10.1145/366792.366804
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