Global Convergence of a Memory Gradient Method for Unconstrained Optimization. - Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2006)

Multi-step nonlinear conjugate gradient methods for unconstrained minimization. - John A. Ford; Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2008)

Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems. - Michiya Kobayashi; Yasushi Narushima; Hiroshi Yabe (J. Comput. Appl. Math., 2010)

A Smoothing Newton Method with Fischer-Burmeister Function for Second-Order Cone Complementarity Problems. - Yasushi Narushima; Nobuko Sagara; Hideho Ogasawara (J. Optim. Theory Appl., 2011)

A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization. - Yasushi Narushima; Hiroshi Yabe; John A. Ford (SIAM J. Optim., 2011)

Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization. - Yasushi Narushima; Hiroshi Yabe (J. Comput. Appl. Math., 2012)

Globally Convergent Three-Term Conjugate Gradient Methods that Use Secant Conditions and Generate Descent Search Directions for Unconstrained Optimization. - Kaori Sugiki; Yasushi Narushima; Hiroshi Yabe (J. Optim. Theory Appl., 2012)

Conjugate gradient methods using value of objective function for unconstrained optimization. - Hideaki Iiduka; Yasushi Narushima (Optim. Lett., 2012)

A smoothing conjugate gradient method for solving systems of nonsmooth equations. - Yasushi Narushima (Appl. Math. Comput., 2013)

A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization. - Mehiddin Al-Baali; Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2015)

Economic Experiments in YBG: The Case of Manufacturing Industry Game. - Yasushi Narushima (IIAI-AAI, 2017)

Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization. - Hiroshi Kobayashi; Yasushi Narushima; Hiroshi Yabe (Optim. Methods Softw., 2017)

Robust Supply Chain Network Equilibrium Model. - Tatsuya Hirano; Yasushi Narushima (Transp. Sci., 2019)

Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions. - Shummin Nakayama; Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2021)

Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization. - Yasushi Narushima; Shummin Nakayama; Masashi Takemura; Hiroshi Yabe (J. Optim. Theory Appl., 2023)

Inexact proximal DC Newton-type method for nonconvex composite functions. - Shummin Nakayama; Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2024)