journal article Dec 01, 1978

A combined conjugate-gradient quasi-Newton minimization algorithm

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References
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W.R. Boland, E. Kamgnia and J.S. Kowalik, “A conjugate gradient optimization method invariant to nonlinear scaling”, Report TR 245, Department of Mathematical Sciences, Clemson University, Clemson, SC (1977).
[3]
A.G. Buckley, “Extending the relationship between the conjugate gradient and BFGS algorithms”,Mathematical Programming, to appear. 10.1007/bf01609038
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C.G. Broyden, “The convergence of a class of double rank algorithms, Part I”,Journal of the Institute of Mathematics and its Applications 7 (1971) 76–90. 10.1093/imamat/7.1.76
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R. Fletcher and M.J.D. Powell, “A rapidly convergent descent method for minimization”,The Computer Journal 7 (1963). 10.1093/comjnl/6.2.163
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R. Fletcher, “Conjugate direction methods”, in: W. Murray, ed.,Numerical methods for unconstrained optimization (Academic Press, London, 1972) pp. 73–86.
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M.R. Hestenes and E.L. Stiefel, “Methods of conjugate gradients for solving linear systems”,Journal of Research of the National Bureau of Standards 49 (1952) 409–436. 10.6028/jres.049.044
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D.M. Himmelblau,Applied nonlinear programming (McGraw-Hill, New York, 1972).
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L. Nazareth, “A relationship between the BFGS and conjugate gradient algorithms”, AMD Tech. Memo 282, Argonne National Laboratory (1977). 10.2172/7220579
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Cited By
51
Mathematical Programming
Mathematics of Computation
Metrics
51
Citations
13
References
Details
Published
Dec 01, 1978
Vol/Issue
15(1)
Pages
200-210
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Cite This Article
A. G. Buckley (1978). A combined conjugate-gradient quasi-Newton minimization algorithm. Mathematical Programming, 15(1), 200-210. https://doi.org/10.1007/bf01609018
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