Extended Formulations in Mixed-integer Convex Programming
We present a unifying framework for generating extended formulations for the polyhedral outer approximations used in algorithms for mixed-integer convex programming (MICP).
A Ahmadi +19 more
core +1 more source
Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang +3 more
wiley +1 more source
A Generalized Benders Decomposition for Mixed-Integer Nonlinear Programming: Theory and Applications
This paper comprehensively explains how to solve mixed-integer nonlinear programming (MINLP) models using the generalized benders decomposition (GBD) method.
Fadiah Hasna Nadiatul Haq +2 more
doaj +1 more source
Thinning optimization in mixed-species forests [PDF]
An approach is summarized for estimating optimal thinning and final harvest age for existing, mixed-species stands. The method involves stand-table projection with upgrowth and mortality equations, formulated as an integer-nonlinear programming problem ...
Bullard, Steven H, Klemperer, W. David
core +1 more source
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam +2 more
wiley +1 more source
Polyhedral approximation in mixed-integer convex optimization
Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances in general-purpose solvers in recent years.
Bent, Russell +3 more
core +1 more source
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Generalized Maximum Entropy estimation of discrete sequential move games of perfect information [PDF]
We propose a data-constrained generalized maximum entropy (GME) estimator for discrete sequential move games of perfect information which can be easily implemented on optimization software with high-level interfaces such as GAMS.
Graham, Brett, Wang, Yafeng
core +1 more source
Spectroscopic Signatures of Doping in Thin Films of Semiconducting Single‐Walled Carbon Nanotubes
This review presents an overview of the spectroscopic changes of semiconducting single‐walled carbon nanotubes upon chemical, electrochemical or electrostatic doping. The presence of holes or electrons directly affects visible to far‐infrared absorption, near‐infrared fluorescence and electroluminescence as well as Raman spectra, which enables in‐situ ...
Jana Zaumseil
wiley +1 more source
An Improved Search Algorithm For Solving Mixed-integer Non Linear Programming Problem [PDF]
The special nonlinear mathematical programming problem which isaddressed in this paper has a structure characterized by a subset ofvariables restricted to assume discrete values, which are linear andseperable from the continuous variables.
al, P. B. (Pengarapen)
core

