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Showing 1 to 6 of 6 for “"Graph transformations"”.
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On the zeta Kirchhoff index of several graph transformations
1 PDF file (vi, 85 pages)
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Accelerating Practical Engineering Design Optimization with Computational Graph Transformations
… design optimization frameworks called code transformations. Code transformations encompass a variety of computational-graph-based scientific computing strategies (e.g., automatic differentiation, automatic sparsity detection, problem auto-scaling) that automatically analyze, augment, and …
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Composable probabilistic inference with BLAISE
… * The BLAISE State-Density-Kernel (SDK) graphical modeling language that generalizes factor graphs by: (1) explicitly representing inference algorithms (and their locality) using a new type of graph node, (2) representing hierarchical composition and repeated substructures in the state …
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Strategic Modelling with Graph Rewriting Tools
To model complex systems, graphical formalisms have clear advantages: they are more intuitive and make it easier to visualise a system and convey intuitions or ideas about it. Graph rewriting rules can be used to model their dynamic evolution and from a practical point of view, graph …
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Design methodology for embedded computer vision systems
… and synthesis of such systems are explored: (1) Graph Transformations: Dataflow modeling is widely used in digital signal processing (DSP) systems. However, support for dynamic behavior in such systems exists mainly at the modeling level and there is a lack of optimized synthesis tech¬niques for …
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Knowledge composition methodology for effective analysis problem formulation in simulation-based design
… analyst-intelligible building blocks, (2) graph transformation-based methods to automatically compose simulation templates from these building blocks based on analyst idealization decisions, and (3) meta-models for representing advanced simulation templates VTMB design models, analysis …