Suchalgorithmus

Elemente finden: O(n) linear für unsortiert, O(log n) binär für sortiert.

Inhalt steht zur Übersetzung an. Die englische Version wird angezeigt.

Search algorithms are designed to retrieve information from various data structures. They range from simple linear search (checking every item) to highly efficient binary search (in sorted data) and graph search algorithms like BFS and DFS for complex networks.

        graph LR
  Center["Suchalgorithmus"]:::main
  Rel_sorting_algorithm["sorting-algorithm"]:::related -.-> Center
  click Rel_sorting_algorithm "/terms/sorting-algorithm"
  Rel_recursion["recursion"]:::related -.-> Center
  click Rel_recursion "/terms/recursion"
  classDef main fill:#7c3aed,stroke:#8b5cf6,stroke-width:2px,color:white,font-weight:bold,rx:5,ry:5;
  classDef pre fill:#0f172a,stroke:#3b82f6,color:#94a3b8,rx:5,ry:5;
  classDef child fill:#0f172a,stroke:#10b981,color:#94a3b8,rx:5,ry:5;
  classDef related fill:#0f172a,stroke:#8b5cf6,stroke-dasharray: 5 5,color:#94a3b8,rx:5,ry:5;
  linkStyle default stroke:#4b5563,stroke-width:2px;

      

🧠 Wissenstest

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🧒 Erkläre es wie einem 5-Jährigen

Searching is like looking for a specific Lego brick in a massive box. You could look through every single brick, or if the box is organized, you can jump straight to the section where that type of brick is kept.

🤓 Expert Deep Dive

Heuristic-based search (like A*) is essential for pathfinding in AI and games. Information retrieval systems use inverted indices to perform full-text search across billions of documents in milliseconds. Vector search using cosine similarity is the new standard for semantic AI discovery.

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