Akiko Takeda
About
Akiko Takeda has authored 92 papers that have received a total of 843 indexed citations.
This includes 28 papers in Numerical Analysis, 26 papers in Computational Mechanics and 25 papers in Artificial Intelligence. The topics of these papers are Advanced Optimization Algorithms Research (27 papers), Sparse and Compressive Sensing Techniques (25 papers) and Risk and Portfolio Optimization (14 papers). Akiko Takeda is often cited by papers focused on Advanced Optimization Algorithms Research (27 papers), Sparse and Compressive Sensing Techniques (25 papers) and Risk and Portfolio Optimization (14 papers) and collaborates with scholars based in Japan, United Kingdom and United States. Akiko Takeda's co-authors include Takafumi Kanamori, Jun‐ya Gotoh, Naoki Ito, Yuji Nakatsukasa and Satoru Iwata and has published in prestigious journals such as Applied Physics Letters, Bioinformatics and IEEE Transactions on Automatic Control
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