Shinichi Oishi is a Japanese mathematician at Waseda Varsity.[3]
Oishi haes done mony studies in numerical analysis an thair branches:
Year
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Notes[3]
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Syne 1980
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Teacher at Waseda Varsity
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1990
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Receivit the Azusa Ono Memorial Awaird (ja:小野梓記念賞)
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1993, 1995 an 1997
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Best Paper Awaird frae the IEICE (The Institute o Electronics, Information an Communication Engineers)[12][13]
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Syne 2011
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Visitin professor at the Pierre an Marie Curie varsity,[14] France
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2012
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Receivit the Medal wi Purpie Ribbon bi the govrenment
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2019 - 2023
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ICIAM 2023 director[15]
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- ↑ Shinichi Oishi, 「例にもとずく情報理論入門」 (Example-basit introduction tae information theory) Kodansha, June 1993, ISBN4-06-153803-9.
- ↑ Shinichi Oishi, 回路理論 (Circuit theory) Korona Publishing, May 2013.
- ↑ a b www.oishi.info.waseda.ac.jp/~oishi/index.html
- ↑ Hoffman, N., Ichihara, K., Kashiwagi, M., Masai, H., Oishi, S., & Takayasu, A. (2016). Verified computations for hyperbolic 3-manifolds. Experimental Mathematics, 25(1), 66-78.
- ↑ He also supported the development of INTLAB (made by MATLAB and GNU Octave).
- ↑ Oishi, S., & Rump, S. M. (2002). Fast verification of solutions of matrix equations. Numerische Mathematik, 90(4), 755-773.
- ↑ Morikura, Y., Ozaki, K., & Oishi, S. (2013). Verification methods for linear systems using ufp estimation with rounding-to-nearest. Nonlinear Theory and Its Applications, IEICE, 4(1), 12-22.
- ↑ Ozaki, K., Ogita, T., Oishi, S., & Rump, S. M. (2012). Error-free transformations of matrix multiplication by using fast routines of matrix multiplication and its applications. Numerical Algorithms, 59(1), 95-118.
- ↑ Yamanaka, N., Okayama, T., Oishi, S., & Ogita, T. (2010). A fast verified automatic integration algorithm using double exponential formula. Nonlinear Theory and Its Applications, IEICE, 1(1), 119-132.
- ↑ Yamanaka N., Okayama T., Oishi S. (2016) Verified Error Bounds for the Real Gamma Function Using Double Exponential Formula over Semi-infinite Interval. In: Kotsireas I., Rump S., Yap C. (eds) Mathematical Aspects of Computer and Information Sciences. MACIS 2015. Lecture Notes in Computer Science, vol 9582. Springer, Cham.
- ↑ Liu, X., & Oishi, S. (2013). Verified eigenvalue evaluation for the Laplacian over polygonal domains of arbitrary shape. SIAM Journal on Numerical Analysis, 51(3), 1634-1654.
- ↑ www.ieice.org/global/
- ↑ www.ieice.org/eng_r/index.html
- ↑ Namit after Marie Curie
- ↑ iciam2023.jsiam.org