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Mathematical and Continuous Optimization Lab (Liu Tianxiang)
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The lab studies algorithms and analysis for nonconvex optimization.
AboutAbout the lab
Algorithms and analysis for nonconvex optimization.
Associate Professor Tianxiang Liu studies algorithms and analysis for nonconvex optimization.
Papers by Associate Professor Tianxiang Liu have been published in journals such as Mathematical Programming and Foundations of Computational Mathematics.
Currently an Associate Professor at the University of Tsukuba, Liu previously served as an Assistant Professor at Tokyo Institute of Technology.
Key terms
- nonconvex optimization
- A field that deals with the problem of finding the best value of a function whose shape may have more than one valley
- algorithm
- A step-by-step computational procedure for solving a problem
NewsLab news
Paper on convergence rates for the common fixed point problem accepted by Mathematical Programming
Co-authored preprint on facial reduction for convex programming problems released
Preprint on proximal gradient and subgradient methods with nonmonotone extrapolation released
ResearchResearch themes
The research focuses on algorithms and analysis for nonconvex optimization. The results are published as papers and compiled in the publications list on the homepage.
View More ↗MembersFaculty
- Associate ProfessorTianxiang Liu
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The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Graph of function of 2 variables” Zasdfgbnm / Public domain (cropped)
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