相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Adaptive cubic regularization methods with dynamic inexact Hessian information and applications to finite-sum minimization
Stefania Bellavia et al.
IMA JOURNAL OF NUMERICAL ANALYSIS (2021)
Newton-type methods for non-convex optimization under inexact Hessian information
Peng Xu et al.
MATHEMATICAL PROGRAMMING (2020)
Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization
C. P. Bras et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2020)
On global minimizers of quadratic functions with cubic regularization
Andrea Cristofari et al.
OPTIMIZATION LETTERS (2019)
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
C. Cartis et al.
MATHEMATICAL PROGRAMMING (2018)
Cubic-regularization counterpart of a variable-norm trust-region method for unconstrained minimization
J. M. Martinez et al.
JOURNAL OF GLOBAL OPTIMIZATION (2017)
Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
E. G. Birgin et al.
MATHEMATICAL PROGRAMMING (2017)
ON HIGH-ORDER MODEL REGULARIZATION FOR CONSTRAINED OPTIMIZATION
Jose Mario Martinez
SIAM JOURNAL ON OPTIMIZATION (2017)
On the optimal order of worst case complexity of direct search
M. Dodangeh et al.
OPTIMIZATION LETTERS (2016)
TRUST-REGION METHODS WITHOUT USING DERIVATIVES: WORST CASE COMPLEXITY AND THE NONSMOOTH CASE
R. Garmanjani et al.
SIAM JOURNAL ON OPTIMIZATION (2016)
Separable cubic modeling and a trust-region strategy for unconstrained minimization with impact in global optimization
J. M. Martinez et al.
JOURNAL OF GLOBAL OPTIMIZATION (2015)
Algebraic rules for quadratic regularization of Newton's method
Elizabeth W. Karas et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2015)
CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization
Nicholas I. M. Gould et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2015)
On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization
Geovani N. Grapiglia et al.
MATHEMATICAL PROGRAMMING (2015)
Worst case complexity of direct search
L. N. Vicente
EURO JOURNAL ON COMPUTATIONAL OPTIMIZATION (2013)
A trust region algorithm with adaptive cubic regularization methods for nonsmooth convex minimization
Sha Lu et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2012)
Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization
A. S. Bandeira et al.
MATHEMATICAL PROGRAMMING (2012)
ON THE ORACLE COMPLEXITY OF FIRST-ORDER AND DERIVATIVE-FREE ALGORITHMS FOR SMOOTH NONCONVEX MINIMIZATION
Coralia Cartis et al.
SIAM JOURNAL ON OPTIMIZATION (2012)
Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results
Coralia Cartis et al.
MATHEMATICAL PROGRAMMING (2011)
Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity
Coralia Cartis et al.
MATHEMATICAL PROGRAMMING (2011)
Incorporating minimum Frobenius norm models in direct search
A. L. Custodio et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2010)
SELF-CORRECTING GEOMETRY IN MODEL-BASED ALGORITHMS FOR DERIVATIVE-FREE UNCONSTRAINED OPTIMIZATION
K. Scheinberg et al.
SIAM JOURNAL ON OPTIMIZATION (2010)
On the geometry phase in model-based algorithms for derivative-free optimization
Giovanni Fasano et al.
OPTIMIZATION METHODS & SOFTWARE (2009)
GLOBAL CONVERGENCE OF GENERAL DERIVATIVE-FREE TRUST-REGION ALGORITHMS TO FIRST- AND SECOND-ORDER CRITICAL POINTS
Andrew R. Conn et al.
SIAM JOURNAL ON OPTIMIZATION (2009)
BENCHMARKING DERIVATIVE-FREE OPTIMIZATION ALGORITHMS
Jorge J. More et al.
SIAM JOURNAL ON OPTIMIZATION (2009)
Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation
Andrew R. Conn et al.
IMA JOURNAL OF NUMERICAL ANALYSIS (2008)
Geometry of interpolation sets in derivative free optimization
A. R. Conn et al.
MATHEMATICAL PROGRAMMING (2008)
Cubic regularization of Newton method and its global performance
Yurii Nesterov et al.
MATHEMATICAL PROGRAMMING (2006)
Benchmarking optimization software with performance profiles
ED Dolan et al.
MATHEMATICAL PROGRAMMING (2002)