IWATA, Satoru

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IWATA, Satoru
Principal Investigator, Specially Appointed Professor
Hokkaido University
Department of Mathematical Engineering and Information Physics, The University of Tokyo
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Contact

iwata AT icredd.hokudai.ac.jp,      iwata atmark mist.i.u-tokyo.ac.jp

IWATA, Satoru Group
Principal Investigator
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    IWATA, Satoru
Faculty Members

About the Research

Research Theme

Optimization Methods in Computational Chemistry and Chemoinformatics

Keyword

Discrete Optimization, Submodular Function, Network Analysis, Global Optimization
Research Outline

I have investigated the design and analysis of efficient algorithms for optimization problems on discrete structures such as graphs and networks. In particular, I have conducted theoretical research focusing on matroids and submodular functions, which are known as structures that commonly appear in various efficiently solvable combinatorial optimization problems. Since chemical reactions are phenomena described by changes of chemical bonds between atoms in molecules, I expect that there are many places in which discrete optimization techniques can contribute to the design and discovery of chemical reactions.

Continuous optimization problems which do not enjoy convexity are hard to solve in general as they admit locally optimal solutions which are not globally optimal. Search methods for chemical reaction routes such as GRRM actually enumerate the locally optimal and saddle points of the potential energy surface. I have been trying to extend the methods there to more general setting of nonconvex optimization.

Representative Research Achievements

  • Selecting Molecules with Diverse Structures and Properties by Maximizing Submodular Functions of Descriptors Learned with Graph Neural Networks 
    Tomohiro Nakamura, Shinsaku Sakaue, Kaito Fujii, Yu Harabuchi, Satoshi Maeda, Satoru Iwata. Scientific Reports, 2022, 12: 1124.
    DOI: 10.1038/s41598-022-04967-9
  • A Weighted Linear Matroid Parity Algorithm 
    Satoru Iwata, Yusuke Kobayashi. SIAM J. Comput., 2022, 51 (2), 238-280.
    DOI: 10.1137/17M1141709
  • Index Reduction for Differential-Algebraic Equations with Mixed Matrices,
    Satoru Iwata, Taihei Oki, Mizuyo Takamatsu, J. ACM, 2019, 66 (5), 1-34.
    DOI: 10.1145/3341499
  • Computing the Signed Distance Between Overlapping Ellipsoids 
    Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda. SIAM J. Optim., 2015, 25(4), 2359-2384.
    DOI: 10.1137/140979654
  • A Combinatorial Strongly Polynomial Algorithm for Minimizing Submodular Functions 
    Satoru Iwata, Lisa Fleischer, Satoru Fujishige. J. ACM, 2001, 48(4), 761-777. 
    DOI: 10.1145/502090.502096

Publications

2024

  • Exact Solution for Minimization of Root Mean Square Deviation with G-RMSD to Determine Molecular Similarity
    T. Nabika, S. Iwata, H. Satoh, Bulletin of the Chemical Society of Japan, 2024, 97,
    DOI: 10.1093/bulcsj/uoae037

2023

  • Finding Maximum Edge-Disjoint Paths Between Multiple Terminals
    S. Iwata, Y. Yokoi, Siam Journal on Computing, 2023, 52(5), 1230-1268
    DOI: 10.1137/22m1494804

2022

  • Selecting Molecules with Diverse Structures and Properties by Maximizing Submodular Functions of Descriptors Learned with Graph Neural Networks
    T. Nakamura, S. Sakaue, K. Fujii, Y. Harabuchi, S. Maeda, S. Iwata, Scientific Reports, 2022, 12,
    DOI: 10.1038/s41598-022-04967-9