Evaluating subgradients for convex relaxations of dynamic process models by adapting current tools

Optimization-based convex relaxations for nonconvex parametric systems of ordinary differential equations

(2021) Yingkai Song et al.   MATHEMATICAL PROGRAMMING

Bounding convex relaxations of process models from below by tractable black-box sampling

(2021) Yingkai Song et al.   COMPUTERS & CHEMICAL ENGINEERING

EAGO.jl: easy advanced global optimization in Julia

(2020) M. E. Wilhelm et al.   OPTIMIZATION METHODS & SOFTWARE

Convergence-order analysis for differential-inequalities-based bounds and relaxations of the solutions of ODEs

(2018) Spencer D. Schaber et al.   JOURNAL OF GLOBAL OPTIMIZATION

Generalized Derivatives for Hybrid Systems

(2017) Kamil A. Khan et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Julia: A Fresh Approach to Numerical Computing

(2017) Jeff Bezanson et al.   SIAM REVIEW

Adjoint Sensitivity Analysis for Nonsmooth Differential-Algebraic Equation Systems

(2015) Ralf Hannemann-Tamás et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Unified framework for the propagation of continuous-time enclosures for parametric nonlinear ODEs

(2014) Mario E. Villanueva et al.   JOURNAL OF GLOBAL OPTIMIZATION

Generalized Derivatives for Solutions of Parametric Ordinary Differential Equations with Non-differentiable Right-Hand Sides

(2014) Kamil A. Khan et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Branch-and-Lift Algorithm for Deterministic Global Optimization in Nonlinear Optimal Control

(2013) Boris Houska et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Improved relaxations for the parametric solutions of ODEs using differential inequalities

(2012) Joseph K. Scott et al.   JOURNAL OF GLOBAL OPTIMIZATION

Generalized McCormick relaxations

(2011) Joseph K. Scott et al.   JOURNAL OF GLOBAL OPTIMIZATION

McCormick-Based Relaxations of Algorithms

(2009) Alexander Mitsos et al.   SIAM JOURNAL ON OPTIMIZATION