[图书][B] Nonlinear programming: concepts, algorithms, and applications to chemical processes
LT Biegler - 2010 - SIAM
Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …
problems for over 50 years. For many chemical process systems, detailed steady state and …
Line search filter methods for nonlinear programming: Motivation and global convergence
A Wächter, LT Biegler - SIAM Journal on Optimization, 2005 - SIAM
Line search methods are proposed for nonlinear programming using Fletcher and Leyffer's
filter method [Math. Program., 91 (2002), pp. 239--269], which replaces the traditional merit …
filter method [Math. Program., 91 (2002), pp. 239--269], which replaces the traditional merit …
Sequential quadratic programming methods
Abstract In his 1963 PhD thesis, Wilson proposed the first sequential quadratic programming
(SQP) method for the solution of constrained nonlinear optimization problems. In the …
(SQP) method for the solution of constrained nonlinear optimization problems. In the …
Numerical methods for large-scale nonlinear optimization
Recent developments in numerical methods for solving large differentiable nonlinear
optimization problems are reviewed. State-of-the-art algorithms for solving unconstrained …
optimization problems are reviewed. State-of-the-art algorithms for solving unconstrained …
[PDF][PDF] A brief history of filter methods
R Fletcher, S Leyffer, PL Toint - Preprint ANL/MCS-P1372-0906 …, 2006 - researchgate.net
We consider the question of global convergence of iterative methods for nonlinear
programming problems. Traditionally, penalty functions have been used to enforce global …
programming problems. Traditionally, penalty functions have been used to enforce global …
A penalty-free infeasible approach for a class of nonsmooth optimization problems over the Stiefel manifold
Inspired by penalty-free approaches for smooth optimization problems, we propose a
sequential linearized proximal gradient method (SLPG) for a class of optimization problems …
sequential linearized proximal gradient method (SLPG) for a class of optimization problems …
[HTML][HTML] Research on planning and optimization of trajectory for underwater vision welding robot
S Li, X Zhang - Array, 2022 - Elsevier
To achieve welding torch trajectory continuous smooth and welding time the shortest, which
of the underwater visual welding robot end, a method of interpolation the location-time …
of the underwater visual welding robot end, a method of interpolation the location-time …
A consistently adaptive trust-region method
Adaptive trust-region methods attempt to maintain strong convergence guarantees without
depending on conservative estimates of problem properties such as Lipschitz constants …
depending on conservative estimates of problem properties such as Lipschitz constants …
Global convergence of filter methods for nonlinear programming
AA Ribeiro, EW Karas, CC Gonzaga - SIAM Journal on Optimization, 2008 - SIAM
We present a general filter algorithm that allows a great deal of freedom in the step
computation. Each iteration of the algorithm consists basically in computing a point which is …
computation. Each iteration of the algorithm consists basically in computing a point which is …
A nonmonotone filter method for nonlinear optimization
We propose a new nonmonotone filter method to promote global and fast local convergence
for sequential quadratic programming algorithms. Our method uses two filters: a standard …
for sequential quadratic programming algorithms. Our method uses two filters: a standard …