Frank E. Curtis
About
Frank E. Curtis has authored 60 papers that have received a total of 2.1k indexed citations.
This includes 45 papers in Numerical Analysis, 35 papers in Computational Mechanics and 28 papers in Computational Theory and Mathematics. The topics of these papers are Advanced Optimization Algorithms Research (45 papers), Sparse and Compressive Sensing Techniques (34 papers) and Stochastic Gradient Optimization Techniques (19 papers). Frank E. Curtis is often cited by papers focused on Advanced Optimization Algorithms Research (45 papers), Sparse and Compressive Sensing Techniques (34 papers) and Stochastic Gradient Optimization Techniques (19 papers) and collaborates with scholars based in United States, United Kingdom and Switzerland. Frank E. Curtis's co-authors include Daniel P. Robinson, Jorge Nocedal, Andreas Wächter, Richard H. Byrd and James V. Burke and has published in prestigious journals such as Renewable Energy, Operations Research and IEEE Signal Processing Magazine
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