Daniel P. Robinson
About
Daniel P. Robinson has authored 62 papers that have received a total of 1.2k indexed citations.
This includes 36 papers in Numerical Analysis, 31 papers in Computational Mechanics and 27 papers in Computational Theory and Mathematics. The topics of these papers are Advanced Optimization Algorithms Research (36 papers), Sparse and Compressive Sensing Techniques (29 papers) and Stochastic Gradient Optimization Techniques (14 papers). Daniel P. Robinson is often cited by papers focused on Advanced Optimization Algorithms Research (36 papers), Sparse and Compressive Sensing Techniques (29 papers) and Stochastic Gradient Optimization Techniques (14 papers) and collaborates with scholars based in United States, United Kingdom and China. Daniel P. Robinson's co-authors include Frank E. Curtis, René Vidal, Nicholas I. M. Gould, Philip E. Gill and Chong You and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.
In The Last Decade
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