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Showing 1 to 3 of 3 for “"dynamical low-rank approximation"”.
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Analytical and Numerical Study of Lindblad Equations
… more explicit scaling for parameters when the approximations are made. Moreover, we derive a classical master equation based on the Lindbladian formalism.</p><p>In Chp. 3, we consider numerical aspects of Lindblad equations. Motivated by the dynamical low-rank approximation method for matrix …
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Bounds and Low-Rank Approximation for Controlled Markov Processes
… shed light on fundamental limits, allowing us to distinguish situations where intrinsic noise masks poor decisions from situations where any attempt of improvement is futile. We connect infinite-dimensional linear programming over cones of occupation measures to techniques for …
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Dynamical Reduced-Order Models for High-Dimensional Systems
… (ROMs) by creating non-intrusive, efficient, and dynamically adaptive algorithms that maintain the essential features and numerical guarantees of their full-order counterparts. In this thesis, we derive and apply algorithms for dynamical reduced-order models. Many model-order reduction approaches …