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Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
Published 2009“…Approach: The basic idea is to apply the modified Quasi-Newton (QN)equations, which uses both the gradients and the function values in two successive points in the frame of the scaled memoryless SR1 update, in which the modified SR1 update is reset, at every iteration, to the positive multiple of the identity matrix. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
