Suchergebnisse - optimization Algorithm

Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming von A. Belloufi

Inhaltsangabe: “… Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic …”
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Software Implementation of an Algorithm for Solving a Dynamic Problem of Optimal Set Partitioning Under Uncertainty von Kiseleva, E. M., Kuzenkov, O. O., Prytomanova, O. M.

Inhaltsangabe: “… <p><strong>Purpose. </strong>Among various formulations of the optimal set …”
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Branch and Bound Algorithm for the Heterogeneous Computing Scheduling Multi-Objective Problem von J. Carlos Soto-Monterrubio

Inhaltsangabe: “… Branch and Bound Algorithm for the Heterogeneous Computing Scheduling Multi-Objective Problem J …”
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Fixed Point Theory and Algorithms for Sciences and Engineering

Schlagworte: “… optimization …”
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Calculation and Prediction of Fugacity and Activity Coefficients in Binary Mixtures, using a Self-Regulated Fretwidth Harmony Search Algorithm von Cristian Jiménez

Inhaltsangabe: “… -Regulated Fretwidth Harmony Search Algorithm Cristian Jiménez Iván Amaya Rodrigo Correa Ingeniería binary …”
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Algorithms for constrained optimal transport von Corless, Martin, Quinn, Anthony, Boufelja, Sarah, Shorten, Robert

Inhaltsangabe: “… We derive iterative scaling algorithms of the Sinkhorn-Knopp (SK) type for constrained optimal …”
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Faster optimal univariate microgaggregation von Stamm, Felix I., Schaub, Michael T.

Inhaltsangabe: “… Microaggregation is a method to coarsen a dataset, by optimally clustering data points in groups …”
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Exergoeconomic optimization of tetra-combined trigeneration system von Juan Carlos Burbano J.

Inhaltsangabe: “… costs on production of system utilities. The Genetic Algorithms metho d has been chosen for optimization …”
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Efficiently Finding the Optimum Number of Clusters in a Dataset with a New Hybrid Cellular Evolutionary Algorithm von Javier Arellano-Verdejo

Inhaltsangabe: “… Evolutionary Algorithm Javier Arellano-Verdejo Adolfo Guzmán-Arenas Salvador Godoy-Calderon Ricardo Barrón …”
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Minimax optimal testing by classification von Gerber, Patrik Róbert, Han, Yanjun, Polyanskiy, Yury

Inhaltsangabe: “… that $\mathsf{CAT}$ achieves (near-)minimax optimal sample complexity in both the dependence on the total …”
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On optimal distinguishers for Planted Clique von Nagda, Ansh, Raghavendra, Prasad

Inhaltsangabe: “… )}$. In this work, we aim to precisely understand the optimal distinguishing advantage achievable by efficient …”
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Combinatorial optimization of the coefficient of determination von Harary, Marc

Inhaltsangabe: “… $ and then (ii) iterating over each linearly separable $k$-subset. Its basis is that the optimal set of outliers …”
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Approximation Algorithms for D-optimal Design von Singh, Mohit, Xie, Weijun

Inhaltsangabe: “… will study one of the most robust measures of error estimation - $D$-optimality criterion, which corresponds …”
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Approximating optimization problems in graphs with locational uncertainty von Bougeret, Marin, Omer, Jérémy, Poss, Michael

Inhaltsangabe: “… Many combinatorial optimization problems can be formulated as the search for a subgraph …”
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Instance-optimal estimation of L2-norm von Adar, Tomer

Inhaltsangabe: “… $-norm itself, their algorithm is not always optimal compared to the instance-specific second-moment …”
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Predictive Bioharmonics: A Domain-Invariant Algorithm for Identifying Global Structural Compatibility von Fries, Tess

Inhaltsangabe: “… state in which further optimization, decision refinement, or intervention no longer improves …”
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Predictive Bioharmonics: A Domain-Invariant Algorithm for Identifying Global Structural Compatibility von Fries, Tess

Inhaltsangabe: “… state in which further optimization, decision refinement, or intervention no longer improves …”
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Quantum speedups for stochastic optimization von Sidford, Aaron, Zhang, Chenyi

Inhaltsangabe: “… and we prove that one method is asymptotically optimal in low-dimensional settings. Additionally, we …”
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Convex optimization with $p$-norm oracles von Adil, Deeksha, Bullins, Brian, Jambulapati, Arun, Sidford, Aaron

Inhaltsangabe: “… rates for convex optimization problems when given access to an $\ell_p^s(λ)$-proximal oracle, which …”
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Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information von Gayen, Sutanu, Kale, Sanket, Sen, Sayantan

Inhaltsangabe: “… }(\varepsilon^{-1})$ samples which we show to be near-optimal. In contrast, an additive estimation would require …”
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