A Monotonicity Result for Norms in Conjugate Gradient Algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s10957-022-02134-8.pdf
Reference20 articles.
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2. Bramble, J.H., Pasciak, J.E., Xu, J.: Parallel multilevel preconditioners. Math. Comput. 55(191), 1–22 (1990)
3. Concus, P., Golub, G.H. and O’Leary, D.P.: A generalized conjugate gradient method for the numerical solution of elliptic partial differential equations. In: Sparse Matrix Computations (Proc. Sympos., Argonne Nat. Lab., Lemont, Ill., 1975), pp. 309–332 (1976)
4. Conn, A.R., Gould, N.I.M., Toint, P.L.: Trust-Region Methods. SIAM (2000)
5. Dai, Y.-H., Martínez, J.M., Yuan, J.-Y.: An increasing-angle property of the conjugate gradient method and the implementation of large-scale minimization algorithms with line searches. Numer. Linear Algebra Appl. 10(4), 323–334 (2003)
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