Zobrazeno 1 - 10
of 47 815
pro vyhledávání: '"Toyoda, A."'
We study chiral condensate in cold nuclear matter on the basis of holographic theory, which would be dual to a baryon system in quantum chromodynamics (QCD) in the confinement phase. Our model is a holographic model based on the D$3$/D$7$ branes. The
Externí odkaz:
http://arxiv.org/abs/2409.03268
Autor:
Sakai, Hiroshi, Arakawa, Dai, Furuya, Takaaki, Haga, Kaiichi, Hagiwara, Masayuki, Harada, Kentaro, Honda, Yosuke, Honma, Teruya, Kako, Eiji, Kato, Ryukou, Kojima, Yuuji, Konomi, Taro, Matsumura, Hiroshi, Miura, Taichi, Miura, Takako, Nagahashi, Shinya, Nakai, Hirotaka, Nakamura, Norio, Nakanishi, Kota, Nigorikawa, Kazuyuki, Nogami, Takashi, Obina, Takashi, Qiu, Feng, Sagehashi, Hidenori, Sakanaka, Shogo, Shimada, Miho, Tadano, Mikito, Takahashi, Takeshi, Takai, Ryota, Tanaka, Olga, Tanimoto, Yasunori, Toyoda, Akihiro, Uchiyama, Takashi, Umemori, Kensei, Yamamoto, Masahiro, Yoshida, Go, Nishimori, Nobuyuki, Hajima, Ryoichi, Nagai, Ryoji, Sawamura, Masaru
A compact energy-recovery linac (cERL) has been un-der construction at KEK since 2009 to develop key technologies for the energy-recovery linac. The cERL began operating in 2013 to create a high-current beam with a low-emittance beam with stable cont
Externí odkaz:
http://arxiv.org/abs/2408.13478
Autor:
Toyoda, Masaki, Uematsu, Yoshimasa
We propose a novel method of network detection that is robust against any complex dependence structure. Our goal is to conduct exploratory network detection, meaning that we attempt to detect a network composed of ``connectable'' edges that are worth
Externí odkaz:
http://arxiv.org/abs/2405.17117
Blockchain technology and Artificial Intelligence (AI) have emerged as transformative forces in their respective domains. This paper explores synergies and challenges between these two technologies. Our research analyses the biggest projects combinin
Externí odkaz:
http://arxiv.org/abs/2405.13462
Autor:
Toyoda, Tetsu
Andoni, Naor and Neiman (2018) established a family of quadratic metric inequalities that hold true in every $\mathrm{CAT}(0)$ space. As stated in their paper, this family seems to include all previously used quadratic metric inequalities that hold t
Externí odkaz:
http://arxiv.org/abs/2404.13871
This paper presents an Euler--Lagrange system for a continuous-time model of the accelerated gradient methods in smooth convex optimization and proposes an associated Lyapunov-function-based convergence analysis framework. Recently, ordinary differen
Externí odkaz:
http://arxiv.org/abs/2404.03383
Autor:
Yamaga, T., Ajimura, S., Asano, H., Beer, G., Bhang, H., Bragadireanu, M., Buehler, P., Busso, L., Cargnelli, M., Choi, S., Curceanu, C., Enomoto, S., Fujioka, H., Fujiwara, Y., Fukuda, T., Guaraldo, C., Hashimoto, T., Hayano, R. S., Hiraiwa, T., Iio, M., Iliescu, M., Inoue, K., Ishiguro, Y., Ishikawa, T., Ishimoto, S., Itahashi, K., Iwai, M., Iwasaki, M., Kanno, K., Kato, K., Kato, Y., Kawasaki, S., Kienle, P., Kou, H., Ma, Y., Marton, J., Matsuda, Y., Mizoi, Y., Morra, O., Murayama, R., Nagae, T., Noumi, H., Ohnishi, H., Okada, S., Outa, H., Piscicchia, K., Sada, Y., Sakaguchi, A., Sakuma, F., Sato, M., Scordo, A., Sekimoto, M., Shi, H., Shirotori, K., Sirghi, D., Sirghi, F., Suzuki, S., Suzuki, T., Tanida, K., Tatsuno, H., Tokuda, M., Tomono, D., Toyoda, A., Tsukada, K., Doce, O. Vazquez, Widmann, E., Yamazaki, T., Yim, H., Zhang, Q., Zmeskal, J.
We conducted measurements of $K^- + {^3{\rm He}} \to \pi \!Y \!N + N'$ reactions using a $1~{\rm GeV}/c$ $K^-$-beam, with the objective of understanding the broad decay width of $\bar{K} \!N \!N$ (approximately twice as broad as that of $\Lambda(1405
Externí odkaz:
http://arxiv.org/abs/2404.01773
Open-domain dialogue systems have started to engage in continuous conversations with humans. Those dialogue systems are required to be adjusted to the human interlocutor and evaluated in terms of their perspective. However, it is questionable whether
Externí odkaz:
http://arxiv.org/abs/2401.02256
This paper addresses the gradient flow -- the continuous-time representation of the gradient method -- with the smooth approximation of a non-differentiable objective function and presents convergence analysis framework. Similar to the gradient metho
Externí odkaz:
http://arxiv.org/abs/2312.04192
We study properties and algorithms of a minimization problem of the maximum generalized eigenvalue of symmetric-matrix-valued affine functions, which is nonsmooth and quasiconvex, and has application to eigenfrequency optimization of truss structures
Externí odkaz:
http://arxiv.org/abs/2312.01603