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Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation
Publicado 2025“...The method of sampling-based tolerance-cost optimization, a combination of statistical tolerance analysis based on sampling techniques and metaheuristic optimization algorithms, enables an automated and optimal allocation of tolerance values and, thus, solves the conflict of objectives between costs and quality. ...”
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Automatic Code Generation for Massively Parallel Applications in Computational Fluid Dynamics
Publicado 2025“...It is complemented by algorithmic components which can be implemented in a Matlab‐like syntax on layer 3. ...”
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Query Optimization in Distributed Heterogeneous Data Stream Systems
Publicado 2025“...Well-known heuristic algorithms are adapted to the optimization problem of assigning operators to hosts. ...”
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Incorporating Differential Equations into Mixed-Integer Programming for Gas Transport Optimization
Publicado 2025“...Furthermore, the way for more general simulation-based algorithms is paved. Second, an instantaneous control algorithm for transient gas network optimization with partial differential equations is presented. ...”
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Quantum Computing from Hopfield Nets
Publicado 2025“...More specifically, it is written for readers who have basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML) and have a certain familiarity with search algorithms, optimization techniques, and neural networks. ...”
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Application of Machine Learning and Optimization Methods in Engineering Mathematics
Publicado 2026Subjects: “...remora optimization algorithm...”
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