Abstract
Conjugate gradient methods are widely acknowledged to be among the most efficient and robust methods for solving the large-scale unconstrained nonlinear optimization problems
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Andrei, N. (2020). Conjugate Gradient Methods Memoryless BFGS Preconditioned. In: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization. Springer Optimization and Its Applications, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-42950-8_8
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DOI: https://doi.org/10.1007/978-3-030-42950-8_8
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