Search Results - (logic OR login)-based outer approximation algorithm

Learning to Learn Variational Quantum Algorithm by Huang, Rui, Tan, Xiaoqing, Xu, Qingshan

“…Variational quantum algorithms (VQAs) use classical computers as the quantum outer loop optimizer and update the circuit parameters to obtain an approximate ground state…”
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A Gaussian Mixture Model for Probabilistic Workspace Generation of Multibody Systems by Osikowicz, Nate S., Singla, Puneet

“… Growing interest in robotically assembled space structures has introduced a demand for analyzing all end-to-end configurations of large multibody systems as they are expanded and articulated in outer space…”
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Nonsynchronized State Estimation for Fuzzy Markov Jump Affine Systems With Switching Region Partitions by Ning, Zepeng, Cai, Bo, Weng, Rui, Zhang, Lixian

“…This article investigates the state estimation issue of discrete-time Takagi-Sugeno fuzzy Markov jump affine systems that cover both traditional fuzzy Markov…”
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A Hierarchical Method for Robust SCUC of Multi-Area Power Systems With Novel Uncertainty Sets by Zheng, Xiaodong, Chen, Haoyong, Xu, Yan, Liang, Zipeng, Chen, Yiping

“…This paper focuses on the interchange and generation scheduling problem of multi-area power systems, where decentralized decision procedure is preferred and…”
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Mixed integer programming for a special logic constrained optimal control problem by Preda, Dorin, Noailles, Joseph

“… Furthermore, algorithms (Generalized…”
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Probabilistic µ-Analysis Using Mapped Uncertainties by Seiferth, David, Diepolder, Johannes, Afonso, Rubens, Holzapfel, Florian

“… over the entire uncertainty space to approximate the probability accurately, the proposed algorithm gives a guaranteed…”
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Inner approximation of parameter uncertainty intervals in bounded error identification by Cerone, V., Fadda, E., Regruto, D.

“…Several algorithms have been proposed in the last decades in the context of Set-membership identification to compute outer approximations of parameter uncertainty intervals…”
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One approach for solving optimization problems with apriori estimates of approximation of admissible set by Andrianova, A. A.

“… The replacement of the initial admissible set by its satisfactory approximation in the course of solution makes it possible to construct finite algorithms for the methods of interior and exterior points…”
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N-Body Simulations for Coupled Scalar Field Cosmology by Li, Baojiu, Barrow, John D.

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Capacity regions of two-user broadcast erasure channels with feedback and hidden memory by Heindlmaier, Michael, Bidokhti, Shirin Saeedi

“… Approximations of the capacity region are provided and two optimal coding algorithms are outlined…”
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Efficient Solution of Time-Domain Surface-Wire Integral Equation for Predicting Electromagnetic Responses of Complex Structures by Luo, Wei, Zhao, Jian-Yao, Zhu, Ming-Da, Yin, Wen-Yan

“… Moreover, a novel integration approach for handling weakly singular inner integrals, along with some new smoothing techniques for treating the outer surface integrals, is applied to the TD-SWIE solver…”
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Admissible sets for chance-constrained difference inclusions by Fleming, James, Cannon, Mark

“… After showing that it is difficult to compute this set in general, we suggest inner and outer approximations that can be computed using existing algorithms…”
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Hardness of Packing, Covering and Partitioning Simple Polygons with Unit Squares by Abrahamsen, Mikkel, Stade, Jack

“…We show that packing axis-aligned unit squares into a simple polygon P is NP-hard, even when P is an orthogonal and orthogonally convex polygon with…”
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A new problem in control system design (and circuit design) by Gu, D.-W., Mayne, D.Q.

“…An optimisation problem arising in the design of circuits and control systems is formulated, and an outer approximation algorithm for solving it is presented…”
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Deterministic global optimization for nonlinear model predictive control of hybrid dynamic systems by Long, Christopher E., Polisetty, Pradeep K., Gatzke, Edward P.

“… In some cases, this method can guarantee global optimality of the non‐convex MINLP. Novel algorithm modifications are presented to improve convergence rates for the deterministic algorithm…”
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