Proposes two spectral conjugate gradient projection methods for monotone nonlinear equations, proving global convergence under monotonicity alone for the first variant without Lipschitz continuity.
A Robbins-Monro type algorithm for computing global min- imizer of generalized conic functions
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Survey of taxicab distance mean functions with applications to geometric tomography and Maple implementations.
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Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
Proposes two spectral conjugate gradient projection methods for monotone nonlinear equations, proving global convergence under monotonicity alone for the first variant without Lipschitz continuity.
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On taxicab distance mean functions and their geometric applications: methods, implementations and examples
Survey of taxicab distance mean functions with applications to geometric tomography and Maple implementations.