A nonmonotone line search technique and its application to unconstrained optimization
A new nonmonotone line search algorithm is proposed and analyzed. In our scheme, we
require that an average of the successive function values decreases, while the traditional …
require that an average of the successive function values decreases, while the traditional …
[图书][B] Nonlinear process control
MA Henson, DE Seborg - 1997 - cse.sc.edu
In the past decade, the control of nonlinear systems has received considerable attention in
both academia and industry. The recent interest in the design and analysis of nonlinear …
both academia and industry. The recent interest in the design and analysis of nonlinear …
Algorithm 813: SPG—software for convex-constrained optimization
Fortran 77 software implementing the SPG method is introduced. SPG is a nonmonotone
projected gradient algorithm for solving large-scale convex-constrained optimization …
projected gradient algorithm for solving large-scale convex-constrained optimization …
A computationally efficient feasible sequential quadratic programming algorithm
CT Lawrence, AL Tits - Siam Journal on optimization, 2001 - SIAM
A sequential quadratic programming (SQP) algorithm generating feasible iterates is
described and analyzed. What distinguishes this algorithm from previous feasible SQP …
described and analyzed. What distinguishes this algorithm from previous feasible SQP …
On the nonmonotone line search
YH Dai - Journal of Optimization Theory and Applications, 2002 - Springer
The technique of nonmonotone line search has received many successful applications and
extensions in nonlinear optimization. This paper provides some basic analyses of the …
extensions in nonlinear optimization. This paper provides some basic analyses of the …
User's guide for CFSQP Version 2.0: AC code for solving (large scale) constrained nonlinear (minimax) optimization problems, generating iterates satisfying all …
CT Lawrence, JL Zhou, AL Tits - 1994 - drum.lib.umd.edu
CFSQP is a set of C functions for the minimization of the maximum of a set of smooth
objective functions (possibly a single one) subject to general smooth constraints. If the initial …
objective functions (possibly a single one) subject to general smooth constraints. If the initial …
Multimodel ensembling in seasonal climate forecasting at IRI
The International Research Institute (IRI) for Climate Prediction seasonal forecast system is
based largely on the predictions of ensembles of several atmospheric general circulation …
based largely on the predictions of ensembles of several atmospheric general circulation …
[HTML][HTML] Categorical climate forecasts through regularization and optimal combination of multiple GCM ensembles
Categorical Climate Forecasts through Regularization and Optimal Combination of Multiple
GCM Ensembles in: Monthly Weather Review Volume 130 Issue 7 (2002) Jump to Content …
GCM Ensembles in: Monthly Weather Review Volume 130 Issue 7 (2002) Jump to Content …
[图书][B] Analysis and optimum design of metal structures
J Farkas, K Jármai - 2020 - taylorfrancis.com
Detailing a number of structural analysis problems such as residual welding stresses and
distortions and behaviour of thin-walled rods loaded in bending, this text also explores …
distortions and behaviour of thin-walled rods loaded in bending, this text also explores …
CFD‐based optimization of aerofoils using radial basis functions for domain element parameterization and mesh deformation
AM Morris, CB Allen… - International journal for …, 2008 - Wiley Online Library
A novel domain element shape parameterization method is presented for computational
fluid dynamics‐based shape optimization. The method is to achieve two aims:(1) provide a …
fluid dynamics‐based shape optimization. The method is to achieve two aims:(1) provide a …