Levenberg–marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints C Kanzow, N Yamashita, M Fukushima Journal of Computational and Applied Mathematics 173 (2), 321-343, 2005 | 563* | 2005 |
On the rate of convergence of the Levenberg-Marquardt method N Yamashita, M Fukushima Topics in numerical analysis, 239-249, 2001 | 556 | 2001 |
A combined smoothing and regularization method for monotone second-order cone complementarity problems S Hayashi, N Yamashita, M Fukushima SIAM Journal on Optimization 15 (2), 593-615, 2005 | 263 | 2005 |
Unconstrained optimization reformulations of variational inequality problems N Yamashita, K Taji, M Fukushima Journal of Optimization Theory and Applications 92, 439-456, 1997 | 165 | 1997 |
Modified Newton methods for solving a semismooth reformulation of monotone complementarity problems N Yamashita, M Fukushima Mathematical Programming 76 (3), 469-491, 1997 | 155 | 1997 |
Convergence properties of the inexact Levenberg-Marquardt method under local error bound conditions H Dan, N Yamashita, M Fukushima Optimization methods and software 17 (4), 605-626, 2002 | 148 | 2002 |
New NCP-functions and their properties C Kanzow, N Yamashita, M Fukushima Journal of Optimization Theory and Applications 94, 115-135, 1997 | 144 | 1997 |
Equivalent unconstrained minimization and global error bounds for variational inequality problems N Yamashita, M Fukushima SIAM Journal on Control and Optimization 35 (1), 273-284, 1997 | 111 | 1997 |
On stationary points of the implicit Lagrangian for nonlinear complementarity problems N Yamashita, M Fukushima Journal of Optimization Theory and Applications 84, 653-663, 1995 | 108 | 1995 |
Robust Nash equilibria and second-order cone complementarity problems S Hayashi, N Yamashita, M Fukushima Journal of Nonlinear and Convex Analysis 6 (2), 283, 2005 | 106 | 2005 |
Regularized Newton methods for convex minimization problems with singular solutions DH Li, M Fukushima, L Qi, N Yamashita Computational optimization and applications 28, 131-147, 2004 | 88 | 2004 |
Proximal gradient methods for multiobjective optimization and their applications H Tanabe, EH Fukuda, N Yamashita Computational Optimization and Applications 72, 339-361, 2019 | 86 | 2019 |
New local search methods for improving the Lagrangian-relaxation-based unit commitment solution T Seki, N Yamashita, K Kawamoto IEEE Transactions on Power Systems 25 (1), 272-283, 2010 | 78 | 2010 |
On a global complexity bound of the Levenberg-Marquardt method K Ueda, N Yamashita Journal of optimization theory and applications 147, 443-453, 2010 | 77 | 2010 |
Convergence properties of the regularized Newton method for the unconstrained nonconvex optimization K Ueda, N Yamashita Applied Mathematics and Optimization 62, 27-46, 2010 | 64 | 2010 |
Equivalence of complementarity problems to differentiable minimization: A unified approach P Tseng, N Yamashita, M Fukushima SIAM Journal on Optimization 6 (2), 446-460, 1996 | 62 | 1996 |
The traffic equilibrium problem with nonadditive costs and its monotone mixed complementarity problem formulation RP Agdeppa, N Yamashita, M Fukushima Transportation Research Part B: Methodological 41 (8), 862-874, 2007 | 52 | 2007 |
A nonlinear complementarity approach to multiuser power control for digital subscriber lines N Yamashita, ZQ Luo Optimization Methods and Software 19 (5), 633-652, 2004 | 51 | 2004 |
A new merit function and a descent method for semidefinite complementarity problems N Yamashita, M Fukushima Reformulation: nonsmooth, piecewise smooth, semismooth and smoothing methods …, 1999 | 50 | 1999 |
Nonmonotone line searches for unconstrained multiobjective optimization problems K Mita, EH Fukuda, N Yamashita Journal of Global Optimization 75 (1), 63-90, 2019 | 48 | 2019 |