First, you must understand when a recursion can be used to fix a problem or prevent it from happening in the first place. In addition, recursion can be used when the data is defined recursively. For example, a file system can be defined recursively, because each directory is made up of other directories.
Second, you must understand how to implement a recursive function, which involves planning ahead, and doing the task so that you don’t have to hack around it later.
Today, we’ll be looking at how recursion can be used to traverse recursive data structures.
Though, the number one rule to remember with recursion: Always to know when to stop. For instance, if a node doesn’t have any children, then you stop there.
Constructing The “Tree” Using Recursive Mechanism With RxJS
Since computer science defines a tree as a data structure that simulates hierarchical data with nodes, each node should hold its own data and pointers to other nodes. And, with the help of recursion, you can convert a flat data of tree nodes into a tree-like data structure. Think of this as putting together an organizational chart.
Recursion For Tree Traversal
In other words, you may want to make sure that iteration is well-defined from the beginning of the loop, rather than leave the recursion to chance.
Building A “Tree” Using Object References
Although the techniques used for finding and removing items can be extended to solving other problems that may need tree traversal, it’s important to know when recursion is needed, and when to use something else. In fact, trees have multiple uses, from modeling the moves in a game, to doing a binary search.
When implementing a recursive function, keep the following objectives in mind:
- Define base case
- Define where the element is a node
- Define where the element is a list
Plus, recursion may not always be the most efficient way to solve the problem. You would mainly use recursion when the benefits of a simple solution outweigh efficiency costs. But at other times, all you need are simply the [for] and [while] loops, instead of recursion, to solve a problem.
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