Hiroshi Yabe

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2024 J jnl
Inexact proximal DC Newton-type method for nonconvex composite functions.
Comput. Optim. Appl.
Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe
2023 J jnl
Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization.
J. Optim. Theory Appl.
Yasushi Narushima, Shummin Nakayama, Masashi Takemura, Hiroshi Yabe
2021 J jnl
A primal-dual interior point trust-region method for nonlinear semidefinite programming.
Optim. Methods Softw.
Hiroshi Yamashita, Hiroshi Yabe, Kouhei Harada
2021 J jnl
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions.
Comput. Optim. Appl.
Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe
2017 J jnl
Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization.
Optim. Methods Softw.
Hiroshi Kobayashi, Yasushi Narushima, Hiroshi Yabe
2015 J jnl
A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization.
Comput. Optim. Appl.
Mehiddin Al-Baali, Yasushi Narushima, Hiroshi Yabe
2015 J jnl
An interior point method with a primal-dual quadratic barrier penalty function for nonlinear semidefinite programming.
J. Comput. Appl. Math.
Atsushi Kato, Hiroshi Yabe, Hiroshi Yamashita
2012 J jnl
A primal-dual interior point method for nonlinear semidefinite programming.
Math. Program.
Hiroshi Yamashita, Hiroshi Yabe, Kouhei Harada
2012 J jnl
Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization.
J. Comput. Appl. Math.
Yasushi Narushima, Hiroshi Yabe
2012 J jnl
Globally Convergent Three-Term Conjugate Gradient Methods that Use Secant Conditions and Generate Descent Search Directions for Unconstrained Optimization.
J. Optim. Theory Appl.
Kaori Sugiki, Yasushi Narushima, Hiroshi Yabe
2012 J jnl
Local and superlinear convergence of a primal-dual interior point method for nonlinear semidefinite programming.
Math. Program.
Hiroshi Yamashita, Hiroshi Yabe
2011 J jnl
A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization.
SIAM J. Optim.
Yasushi Narushima, Hiroshi Yabe, John A. Ford
2010 J jnl
Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems.
J. Comput. Appl. Math.
Michiya Kobayashi, Yasushi Narushima, Hiroshi Yabe
2009 J jnl
A primal-dual interior point method for nonlinear optimization over second-order cones.
Optim. Methods Softw.
Hiroshi Yamashita, Hiroshi Yabe
2009 J jnl
Development of Pneumatic Servo Bearing Actuator for Nanometer Positioning.
Int. J. Autom. Technol.
Masato Kadotani, Takakazu Kitagawa, Satoshi Katto, Tomoko Hirayama, Takashi Matsuoka, Hiroshi Yabe, Katsumi Sasaki
2008 J jnl
Multi-step nonlinear conjugate gradient methods for unconstrained minimization.
Comput. Optim. Appl.
John A. Ford, Yasushi Narushima, Hiroshi Yabe
2006 J jnl
Global Convergence of a Memory Gradient Method for Unconstrained Optimization.
Comput. Optim. Appl.
Yasushi Narushima, Hiroshi Yabe
2005 J jnl
A globally and superlinearly convergent primal-dual interior point trust region method for large scale constrained optimization.
Math. Program.
Hiroshi Yamashita, Hiroshi Yabe, Takahito Tanabe
2005 J jnl
Quadratic Convergence of a Primal-Dual Interior Point Method for Degenerate Nonlinear Optimization Problems.
Comput. Optim. Appl.
Hiroshi Yamashita, Hiroshi Yabe
2004 J jnl
Global Convergence Properties of Nonlinear Conjugate Gradient Methods with Modified Secant Condition.
Comput. Optim. Appl.
Hiroshi Yabe, Masahiro Takano
2004 J jnl
On Sizing and Shifting the BFGS Update within the Sized-Broyden Family of Secant Updates.
SIAM J. Optim.
Hiroshi Yabe, Héctor J. Martínez, Richard A. Tapia
2003 J jnl
An Interior Point Method with a Primal-Dual Quadratic Barrier Penalty Function for Nonlinear Optimization.
SIAM J. Optim.
Hiroshi Yamashita, Hiroshi Yabe
1998 J jnl
Quadratic and Superlinear Convergence of the Huschens Method for Nonlinear Least Squares Problems.
Comput. Optim. Appl.
Hiroshi Yabe, Hideho Ogasawara
1996 J jnl
Superlinear and quadratic convergence of some primal-dual interior point methods for constrained optimization.
Math. Program.
Hiroshi Yamashita, Hiroshi Yabe
1995 J jnl
Convergence of a Factorized Broyden-Like Family for Nonlinear Least Squares Problems.
SIAM J. Optim.
Hiroshi Yabe, Naokazu Yamaki
1991 J jnl
Factorized quasi-Newton methods for nonlinear least squares problems.
Math. Program.
Hiroshi Yabe, Toshihiko Takahashi