Searching terminologies
Target Element:
In searching, there is always a specific target element or item that you want to find within the data collection. This target could be a value, a record, a key, or any other data entity of interest.
Search Space:
The search space refers to the entire collection of data within which you are looking for the target element. Depending on the data structure used, the search space may vary in size and organization.
Complexity:
Searching can have different levels of complexity depending on the data structure and the algorithm used. The complexity is often measured in terms of time and space requirements.
Deterministic vs. Non-deterministic:
Some searching algorithms, like binary search, are deterministic, meaning they follow a clear, systematic approach. Others, such as linear search, are non-deterministic, as they may need to examine the entire search space in the worst case.
Searching Algorithms
Searching algorithms are essential tools in computer science used to locate specific items within a collection of data. These algorithms are designed to efficiently navigate through data structures to find the desired information, making them fundamental in various applications such as databases, web search engines, and more.
Table of Content
- What is Searching?
- Searching terminologies
- Importance of Searching in DSA
- Applications of Searching
- Basics of Searching Algorithms
- Searching Algorithms
- Comparisons Between Different Searching Algorithms
- Library Implementations of Searching Algorithms
- Easy Problems on Searching
- Medium Problems on Searching
- Hard Problems on Searching
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