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  2. VisSim - Wikipedia

    en.wikipedia.org/wiki/VisSim

    VisSim/Altair Embed is used in control system design and digital signal processing for multi-domain simulation and design. [1] It includes blocks for arithmetic, boolean, and transcendental functions, as well as digital filters, transfer functions, numerical integration and interactive plotting. [2]

  3. Systems modeling language - Wikipedia

    en.wikipedia.org/wiki/Systems_modeling_language

    SysML's diagrams express system engineering concepts better due to the removal of UML's software-centric restrictions and adds two new diagram types, requirement and parametric diagrams. The former can be used for requirements engineering; the latter can be used for performance analysis and quantitative analysis. Consequent to these ...

  4. List of Unified Modeling Language tools - Wikipedia

    en.wikipedia.org/wiki/List_of_Unified_Modeling...

    Includes glossary, data dictionary, and issue tracking. Supports use case diagrams, auto-generated flow diagrams, screen mock-ups, and free-form diagrams. clang-uml: Un­known Un­known Un­known Un­known No C++ PlantUML, Mermaid.js Generate PlantUML and Mermaild.js diagrams from existing C++ codebase. Dia: Partly No No No

  5. Category:EDA file formats - Wikipedia

    en.wikipedia.org/wiki/Category:EDA_file_formats

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  6. Embedding - Wikipedia

    en.wikipedia.org/wiki/Embedding

    An embedding, or a smooth embedding, is defined to be an immersion that is an embedding in the topological sense mentioned above (i.e. homeomorphism onto its image). [ 4 ] In other words, the domain of an embedding is diffeomorphic to its image, and in particular the image of an embedding must be a submanifold .

  7. Knowledge graph embedding - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph_embedding

    MEI: [26] MEI introduces the multi-partition embedding interaction technique with the block term tensor format, which is a generalization of CP decomposition and Tucker decomposition. It divides the embedding vector into multiple partitions and learns the local interaction patterns from data instead of using fixed special patterns as in ComplEx ...

  8. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    In Multi-Token Prediction, a single forward pass creates a final embedding vector, which then is un-embedded into a token probability. However, that vector can then be further processed by another Transformer block to predict the next token, and so on for arbitrarily many steps into the future.

  9. High-level design - Wikipedia

    en.wikipedia.org/wiki/High-level_design

    Design overview: As the project proceeds, the need is to provide an overview of how the various sub-systems and components of the system fit together. In both cases, the high-level design should be a complete view of the entire system, breaking it down into smaller parts that are more easily understood.