A three-term conjugate gradient method with sufficient descent property for unconstrained optimization Y Narushima, H Yabe, JA Ford SIAM Journal on Optimization 21 (1), 212-230, 2011 | 95 | 2011 |
Globally convergent three-term conjugate gradient methods that use secant conditions and generate descent search directions for unconstrained optimization K Sugiki, Y Narushima, H Yabe Journal of Optimization Theory and Applications 153 (3), 733-757, 2012 | 51 | 2012 |
Multi-step nonlinear conjugate gradient methods for unconstrained minimization JA Ford, Y Narushima, H Yabe Computational Optimization and Applications 40 (2), 191-216, 2008 | 46 | 2008 |
Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization Y Narushima, H Yabe Journal of Computational and Applied Mathematics 236 (17), 4303-4317, 2012 | 42 | 2012 |
Global convergence of a memory gradient method for unconstrained optimization Y Narushima, H Yabe Computational optimization and applications 35 (3), 325-346, 2006 | 35 | 2006 |
A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization M Al-Baali, Y Narushima, H Yabe Computational Optimization and Applications 60 (1), 89-110, 2015 | 33 | 2015 |
A smoothing Newton method with Fischer-Burmeister function for second-order cone complementarity problems Y Narushima, N Sagara, H Ogasawara Journal of optimization theory and applications 149 (1), 79-101, 2011 | 25 | 2011 |
Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems M Kobayashi, Y Narushima, H Yabe Journal of computational and applied mathematics 234 (2), 375-397, 2010 | 22 | 2010 |
A survey of sufficient descent conjugate gradient methods for unconstrained optimization Y Narushima, H Yabe SUT journal of Mathematics 50 (2), 167-203, 2014 | 15 | 2014 |
Nonlinear conjugate gradient methods with sufficient descent properties for unconstrained optimization W Nakamura, Y Narushima, H Yabe Journal of Industrial & Management Optimization 9 (3), 595, 2013 | 14 | 2013 |
A smoothing conjugate gradient method for solving systems of nonsmooth equations Y Narushima Applied Mathematics and Computation 219 (16), 8646-8655, 2013 | 10 | 2013 |
Conjugate gradient methods using value of objective function for unconstrained optimization H Iiduka, Y Narushima Optimization Letters 6 (5), 941-955, 2012 | 10 | 2012 |
Extended Barzilai-Borwein method for unconstrained minimization problems Y Narushima, T Wakamatsu, H Yabe Pacific J. Opt 6 (3), 2010 | 10 | 2010 |
A memoryless symmetric rank-one method with sufficient descent property for unconstrained optimization S Nakayama, Y Narushima, H Yabe Journal of the Operations Research Society of Japan 61 (1), 53-70, 2018 | 5 | 2018 |
A nonmonotone memory gradient method for unconstrained optimization Y Narushima Journal of the Operations Research Society of Japan 50 (1), 31-45, 2007 | 5 | 2007 |
A smoothing method with appropriate parameter control based on Fischer-Burmeister function for second-order cone complementarity problems Y Narushima, H Ogasawara, S Hayashi Abstract and Applied Analysis 2013, 2013 | 4 | 2013 |
The Jacobian consistency of a smoothed Fischer–Burmeister function associated with second-order cones H Ogasawara, Y Narushima Journal of Mathematical Analysis and Applications 394 (1), 231-247, 2012 | 4 | 2012 |
Memoryless quasi-Newton methods based on spectral-scaling Broyden family for unconstrained optimization S Nakayama, Y Narushima, H Yabe Journal of Industrial & Management Optimization 15 (4), 1773, 2019 | 3 | 2019 |
Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization H Kobayashi, Y Narushima, H Yabe Optimization Methods and Software 32 (6), 1313-1329, 2017 | 3 | 2017 |
Global and superlinear convergence of inexact sequential quadratically constrained quadratic programming method for convex programming A Kato, Y Narushima, H Yabe Pacific Journal of Optimization 8 (3), 609-629, 2012 | 2 | 2012 |