February 2014
Beginner
1248 pages
62h 25m
English
Content preview from Java™ How To Program (Early Objects), Tenth Edition
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Section 19.3 Big O Notation
• A major difference among searching algorithms is the amount of effort they require.
• Big O notation (p. 814) describes an algorithm’s efficiency in terms of the work required to solve a problem. For searching and sorting algorithms typically it depends on the number of elements in the data.
• An algorithm that’s O(1) does not necessarily require only one comparison (p. 815). It just means that the number of comparisons does not grow as the size of the array increases.
• An O(n) algorithm is referred to as having a linear run time (p. 815).
• Big O highlights dominant factors and ignores terms that become unimportant with high n values.
• Big O notation is concerned with the growth rate of algorithm run times, so ...
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