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XGA, neboli Extended Graphics Array, je standard displejů od IBM uvedený v roce 1990. Dnes je tato zkratka známá jako synonymum pro grafické rozlišení 1024×768 pixelů, ale oficiální definice je širší. XGA nebyla nová a vylepšená náhrada Super VGA, ale spíše jedna podmnožina jeho možností.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Extended Graphics Array.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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See recurring relationship patterns around Extended Graphics Array before inspecting the individual extracted relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
xga rozlišení akcelerace extended graphics array ibm pixelů vga jako 1024 768 podporu hardwarové 8514 nabízela vykreslování 1990 bitů pixel
TTTA extracted structured relationships around Extended Graphics Array. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
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The concept neighborhoods around Extended Graphics Array bring nearby vocabulary together. In this analysis, examples include Array, Extended and Graphics. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Extended Graphics Array map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Extended Graphics Array to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Extended Graphics Array · CS edition · Analysis: TopicsToTalkAbout
