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The Dai-Liao nonlinear conjugate gradient method with optimal parameter choices
Babaie-Kafaki, Saman; Ghanbari, Reza - In: European journal of operational research : EJOR 234 (2014) 3, pp. 625-630
Persistent link: https://www.econbiz.de/10010360495
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A class of adaptive Dai-Liao conjugate gradient methods based on the scaled memoryless BFGS update
Babaie-Kafaki, Saman; Ghanbari, Reza - In: 4OR : a quarterly journal of operations research 15 (2017) 1, pp. 85-92
Persistent link: https://www.econbiz.de/10011719616
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A modified scaled memoryless BFGS preconditioned conjugate gradient method for unconstrained optimization
Babaie-Kafaki, Saman - In: 4OR : a quarterly journal of operations research 11 (2013) 4, pp. 361-374
Persistent link: https://www.econbiz.de/10010227999
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An optimal parameter choice for the Dai-Liao family of conjugate gradient methods by avoiding a direction of the maximum magnification by the search direction matrix
Aminifard, Zohre; Babaie-Kafaki, Saman - In: 4OR : a quarterly journal of operations research 17 (2019) 3, pp. 317-330
Persistent link: https://www.econbiz.de/10012109166
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A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei
Babaie-Kafaki, Saman - In: Computational Optimization and Applications 52 (2012) 2, pp. 409-414
Persistent link: https://www.econbiz.de/10010558261