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Welcome to Mathematical Optimization Laboratory!
This is an official website of Mathematical Optimization Lab., Meiji Univ.
We research optimization theory and its applications to mathematical information science.
What's New
- 2018/09/23: You can see a full-text view-only version of our paper “Convergence analysis of iterative methods for nonsmooth convex optimization over fixed point sets of quasi-nonexpansive mappings” in Mathematical Programming by using the https://rdcu.be/7uNw.
- 2018/06/01: URL of our website has been moved to https://iiduka.net. Your browser will be automatically forwarded to new URLs when you access old ones.
- 2017/11/02: Please use this link which will provide free access to our article “Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization”, and is valid for 50 days, until December 22, 2017.
- 2017/11/01: Our article “Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization” (PDF) has been accepted for publication in the Neurocomputing. It proposes sparsity and diversity learning methods with fixed point optimization algorithms. Please see PDF.
Postal Address
Department of Computer Science
Meiji University
1-1-1 Higashimita, Tama-ku, Kawasaki-shi, Kanagawa 214-8571 Japan
(Telephone: +81-44-934-7453)