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This manuscript develops a new framework to analyze and design iterative optimization algorithms built on the notion of Integral Quadratic Constraints (IQC) from robust control theory.
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A. Nemirovski · 1997
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Robustness of interconnected systems with controller saturation and bounded delays
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Templates for convex cone problems with applications to sparse signal recovery
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Adaptive control: stability, convergence and robustness
S. Sastry and M. Bodson · 2011
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Efficiency of coordinate descent methods on huge-scale optimization problems
Y. Nesterov · 2012
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Performance of first-order methods for smooth convex minimization: a novel approach
Y. Drori and M. Teboulle · 2013
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Gradient methods for minimizing composite functions
Y. Nesterov · 2013
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First-order methods of smooth convex optimization with inexact oracle
O. Devolder, F. Glineur, and Y. Nesterov · 2014
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Robustness analysis of linear parameter varying systems using integral quadratic constraints
H. Pfifer and P. Seiler · 2014
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Stability analysis with dissipation inequalities and integral quadratic constraints
P. Seiler · 2015
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