Keresalgoritmus

Keresalgoritmus is a Hungarian term that translates to "search algorithm." It refers to any algorithm that is designed to find a specific item or set of items within a data structure. These algorithms are fundamental to computer science and are used in a vast array of applications, from simple database lookups to complex artificial intelligence tasks.

The core principle of a keresalgoritmus is to systematically examine elements in a collection until the desired element is found or until it's determined that the element is not present. The efficiency of a keresalgoritmus is often measured by its time complexity, which describes how the execution time grows with the size of the input data.

There are many different types of keresalgoritmus, each suited to different data structures and problem requirements. Linear search, for example, checks each element sequentially and is simple to implement but can be slow for large datasets. Binary search, on the other hand, requires the data to be sorted and is significantly faster, dividing the search space in half with each step. Other common keresalgoritmus include hash table lookups, tree traversals, and graph search algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS). The choice of which keresalgoritmus to use depends heavily on the nature of the data and the specific performance needs of the application.