How to determine if a sequence is bitonic?
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Understanding Bitonic Sequences
A sequence is called bitonic if it consists of an initially increasing subsequence followed by a decreasing subsequence. Put simply, a bitonic sequence is a sequence that first goes up and then comes down, allowing for the possibility that it might stay level at points. To determine if a sequence is bitonic, several criteria and properties can be considered.
Characteristics of Bitonic Sequences
1. Definition of a Bitonic Sequence
- Increasing Phase: The sequence must start with an increasing order. This doesn't imply strict increase, as some elements can remain constant.
- Decreasing Phase: After the increasing sequence, the elements should show a decreasing pattern. Again, small plateaus (constant elements) are allowed.
2. Examples of Bitonic Sequences
- Example 1: [1, 3, 8, 12, 4, 2]
Here, the sequence increases from 1 to 12 and then decreases until 2. - Example 2: [5, 5, 5, 3, 2]
Although the beginning is constant, and not strictly increasing, the sequence is considered bitonic.
3. Non-Bitonic Example
- Example 3: [3, 4, 5, 2, 6]
This sequence is not bitonic because it starts to increase again after a decrease.
Determining If a Sequence is Bitonic
1. Identify Peaks or Troughs
The first step is to locate the peak (or the highest point) in the sequence; if no strict peak exists, locate the point where the sequence transitions from increasing to decreasing.
2. Separate and Analyze Phases
Once the peak is located, separate the sequence into two phases: increasing and decreasing. Check if each phase maintains the required pattern integrity, allowing for non-strict inequality.
3. Algorithmic Approach
One can create an algorithm or function to determine if a sequence is bitonic:
- Entirely Increasing/Decreasing: A monotonically increasing or decreasing sequence is not bitonic, as it lacks a transition.
- Plateau: Constant sequences fall into neither category and therefore aren’t bitonic.
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Data Structures & Algorithms practice on Codemia
Step through 300 algorithm problems with animated visualisers that show the data structure changing as the code runs.