Computationally relevant generalized derivatives: theory, evaluation and applications
A new method for evaluating generalized derivatives in nonsmooth problems is reviewed.
Lexicographic directional (LD-) derivatives are a recently developed tool in nonsmooth …
Lexicographic directional (LD-) derivatives are a recently developed tool in nonsmooth …
Optimization of single mixed-refrigerant natural gas liquefaction processes described by nondifferentiable models
A new strategy for the optimization of natural gas liquefaction processes is presented, in
which flowsheets formulated using nondifferentiable process models are efficiently and …
which flowsheets formulated using nondifferentiable process models are efficiently and …
Nonsmooth differential-algebraic equations in chemical engineering
This article advocates a nonsmooth differential-algebraic equations (DAEs) modeling
paradigm for dynamic simulation and optimization of process operations. A variety of …
paradigm for dynamic simulation and optimization of process operations. A variety of …
Computing subgradients of convex relaxations for solutions of parametric ordinary differential equations
A novel subgradient evaluation method is proposed for nonsmooth convex relaxations of
parametric solutions of ordinary differential equations (ODEs) arising in global dynamic …
parametric solutions of ordinary differential equations (ODEs) arising in global dynamic …
Evaluating subgradients for convex relaxations of dynamic process models by adapting current tools
Global dynamic optimization problems are often represented as nonlinear optimization
problems with embedded parametric ordinary differential equations. Deterministic methods …
problems with embedded parametric ordinary differential equations. Deterministic methods …
Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions
KA Khan - Optimization Methods and Software, 2018 - Taylor & Francis
A recent nonsmooth vector forward mode of algorithmic differentiation (AD) computes
Nesterov's L-derivatives for nonsmooth composite functions; these L-derivatives provide …
Nesterov's L-derivatives for nonsmooth composite functions; these L-derivatives provide …
[HTML][HTML] Dependence of solutions of nonsmooth differential-algebraic equations on parameters
PG Stechlinski, PI Barton - Journal of Differential Equations, 2017 - Elsevier
The well-posedness of nonsmooth differential-algebraic equations (DAEs) is investigated.
More specifically, semi-explicit DAEs with Carathéodory-style assumptions on the differential …
More specifically, semi-explicit DAEs with Carathéodory-style assumptions on the differential …
Generalized sensitivity analysis of nonlinear programs
This paper extends classical sensitivity results for nonlinear programs to cases in which
parametric perturbations cause changes in the active set. This is accomplished using …
parametric perturbations cause changes in the active set. This is accomplished using …
Analyzing the influence of agents in trust networks: Applying nonsmooth eigensensitivity theory to a graph centrality problem
J Donnelly, P Stechlinski - SIAM Journal on Matrix Analysis and Applications, 2023 - SIAM
Graph centrality measures have found widespread use ranking agents in networks by
characterizing their “importance” for the purpose of predicting and managing network …
characterizing their “importance” for the purpose of predicting and managing network …
Generalized derivatives of differential–algebraic equations
PG Stechlinski, PI Barton - Journal of Optimization Theory and Applications, 2016 - Springer
Nonsmooth equation-solving and optimization algorithms which require local sensitivity
information are extended to systems with nonsmooth parametric differential–algebraic …
information are extended to systems with nonsmooth parametric differential–algebraic …