Yasushi Narushima

Orcid: 0000-0003-4740-5796

According to our database1, Yasushi Narushima authored at least 16 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Inexact proximal DC Newton-type method for nonconvex composite functions.
Comput. Optim. Appl., March, 2024

2023
Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization.
J. Optim. Theory Appl., May, 2023

2021
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions.
Comput. Optim. Appl., 2021

2019
Robust Supply Chain Network Equilibrium Model.
Transp. Sci., 2019

2017
Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization.
Optim. Methods Softw., 2017

Economic Experiments in YBG: The Case of Manufacturing Industry Game.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

2015
A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization.
Comput. Optim. Appl., 2015

2013
A smoothing conjugate gradient method for solving systems of nonsmooth equations.
Appl. Math. Comput., 2013

2012
Conjugate gradient methods using value of objective function for unconstrained optimization.
Optim. Lett., 2012

Globally Convergent Three-Term Conjugate Gradient Methods that Use Secant Conditions and Generate Descent Search Directions for Unconstrained Optimization.
J. Optim. Theory Appl., 2012

Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization.
J. Comput. Appl. Math., 2012

2011
A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization.
SIAM J. Optim., 2011

A Smoothing Newton Method with Fischer-Burmeister Function for Second-Order Cone Complementarity Problems.
J. Optim. Theory Appl., 2011

2010
Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems.
J. Comput. Appl. Math., 2010

2008
Multi-step nonlinear conjugate gradient methods for unconstrained minimization.
Comput. Optim. Appl., 2008

2006
Global Convergence of a Memory Gradient Method for Unconstrained Optimization.
Comput. Optim. Appl., 2006


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