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2020 – today
- 2024
[j15]Shummin Nakayama
, Yasushi Narushima, Hiroshi Yabe:
Inexact proximal DC Newton-type method for nonconvex composite functions. Comput. Optim. Appl. 87(2): 611-640 (2024)- 2023
- [j14]Yasushi Narushima, Shummin Nakayama, Masashi Takemura, Hiroshi Yabe:
Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization. J. Optim. Theory Appl. 197(2): 639-664 (2023) - 2021
- [j13]Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe:
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions. Comput. Optim. Appl. 79(1): 127-154 (2021)
2010 – 2019
- 2019
- [j12]Tatsuya Hirano, Yasushi Narushima:
Robust Supply Chain Network Equilibrium Model. Transp. Sci. 53(4): 1196-1212 (2019) - 2017
- [j11]Hiroshi Kobayashi, Yasushi Narushima, Hiroshi Yabe:
Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization. Optim. Methods Softw. 32(6): 1313-1329 (2017) - [c1]Yasushi Narushima:
Economic Experiments in YBG: The Case of Manufacturing Industry Game. IIAI-AAI 2017: 937-940 - 2015
- [j10]Mehiddin Al-Baali, Yasushi Narushima, Hiroshi Yabe:
A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization. Comput. Optim. Appl. 60(1): 89-110 (2015) - 2013
- [j9]Yasushi Narushima:
A smoothing conjugate gradient method for solving systems of nonsmooth equations. Appl. Math. Comput. 219(16): 8646-8655 (2013) - 2012
- [j8]Yasushi Narushima, Hiroshi Yabe:
Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization. J. Comput. Appl. Math. 236(17): 4303-4317 (2012) - [j7]Kaori Sugiki, Yasushi Narushima, Hiroshi Yabe:
Globally Convergent Three-Term Conjugate Gradient Methods that Use Secant Conditions and Generate Descent Search Directions for Unconstrained Optimization. J. Optim. Theory Appl. 153(3): 733-757 (2012) - [j6]Hideaki Iiduka, Yasushi Narushima:
Conjugate gradient methods using value of objective function for unconstrained optimization. Optim. Lett. 6(5): 941-955 (2012) - 2011
- [j5]Yasushi Narushima, Nobuko Sagara, Hideho Ogasawara:
A Smoothing Newton Method with Fischer-Burmeister Function for Second-Order Cone Complementarity Problems. J. Optim. Theory Appl. 149(1): 79-101 (2011) - [j4]Yasushi Narushima, Hiroshi Yabe, John A. Ford:
A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization. SIAM J. Optim. 21(1): 212-230 (2011) - 2010
- [j3]Michiya Kobayashi, Yasushi Narushima, Hiroshi Yabe:
Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems. J. Comput. Appl. Math. 234(2): 375-397 (2010)
2000 – 2009
- 2008
- [j2]John A. Ford, Yasushi Narushima, Hiroshi Yabe:
Multi-step nonlinear conjugate gradient methods for unconstrained minimization. Comput. Optim. Appl. 40(2): 191-216 (2008) - 2006
- [j1]Yasushi Narushima, Hiroshi Yabe:
Global Convergence of a Memory Gradient Method for Unconstrained Optimization. Comput. Optim. Appl. 35(3): 325-346 (2006)
Coauthor Index
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