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How Do You Implement Trie in Java Using HashMap?

Data storing is an essential part of Trie and the programming language. It Stores different strings & also performs other operations on them.

Students who are pursuing computer Science discipline in Canada often need Programming Homework Help to understand all these concepts related to Java. Not just this, they also need help with their homework. Now if you also making an assignment on Java, read this article where we will discuss Trie and its implementation process.

What is Trie?

What Is Trie

It is a k-ary tree used for searching & storing a unique key from the set. By using this, you can bring the challenging searches to optimal length. It is a tree-type data structure used for the collection of strings & performing good search operations on them.

The word Trie here is derived from the reTRIEval, which stands for finding something. If more than one string follows the common prefix, it follows the same property because it will also have the same ancestor in the Trie. It also permanently stores the strings alphabetically.

Get the Programming Assignment Help to understand this concept much better. Now let’s know about its implementation process.

Implementation of Trie Using Hash-map

The meaning of actual implementation is to apply a data structure tie. It is a type of tree-like structure where every node stores a character. Once you build the Trie, the string can be repurchased by traversing down a path of the Trie.

Sometimes trie can be used to find the substrings & various types of string operations. The implementation process of Trie in different languages is different, but here we will describe its implementation in Java. Still, if you face some problems, ask for the best Programming Homework Help in Canada.

1. Define Classes in the Implementation of Trie

The node of Trie has three variables: Data stores a character. Children are a type of data structure that shows its points to the branches of nodes. There is always one class – variable & that is root. The operation of delete, insert & search always starts from the source.

Define Classes In Implementation Of Trie

2. Add word in the implementation of Trie

For adding the word in the Trie, first, you have to check whether the word is present in the Trie so that we do not add the duplicate comment. Then after that, we loop each character in the word. For example, a pointer node always starts with the root node, and the child node is created if the surface is not present in the node’s children.

After that, the node moves to the child node. When a node is reached the last character of any particular word, we mark it with the is END to be true.

Add Word In The Implementation Of Trie

3. Delete the word in the Trie

The first step in deleting and adding a word is almost similar. Even for deleting the word, we need to check whether the word exists in the whole Trie. If by – chance, it does not live, then the method can return. Here also, the pointer node starts from the root node.

The method can return directly if the character is not in the child nodes. When the node is at the last character of the word, it marks the node’s is END as false. Seek the best Programming Homework Help to know more about it.

Delete The Word In The Trie

4. Search the Word in the Trie

If you want to search for a word in the Trie, you have to loop through each character in the word. A pointer always starts from the root node. The method can return false if the surface is not in the node’s children. Otherwise, it can return to the child node. When it reaches the last character of the word, the node’s return is End Value, which can either be false or true.

Search The Word In The Trie

How does Trie work in Java?

We need to put the syntax in Java to make the trie work. This syntax is:

How Does Trie Work In Java

This syntax is used to insert the element into the data – the structure of Trie. But for that, we need to follow the following steps as given below:

  • First, you have to set the present node as a main or root node for the insertion of the operation.
  • After this step, set the present character as the first character of the word. Seek Programming Homework Help to know more about it.
  • If the node is present in the digital tree, then reference it to the current character & if this node does not exist, you need to create a new node.
  • Finally, you can use the Trie key for this purpose.

Similarly, you can write the syntax for search & delete operations. Do you know how Trie works in Java? You can usually do three types of processes in the data structure. These are:

1. Insert Element Operation

We already understand how the insertion operation works in Java on the above point. The toughness of the insertion operation is 0 (n), where n represents the size of the key.

2. Find the Element of Operation

After inserting the operation, you can perform the search efficiently & even find the process on the data structure of Trie by using an algorithm. Now the steps below are used for the search element in the data structure of Trie.

  • First, you have to get the child node from the root.
  • After this, you need to repeat every character in the string.
  •  After that, you have to check whether the specified character is present or if it is just a part of the sub-tree. If it is not a part of sub – the Trie, then return the exit & false. And seek the assignment help to understand it.
  • The 2nd & 3rd steps should be repeated – 2 until no character is present in the string.

3. Delete the Element Operation

There are different types of options present here, like insertion operation, finding the element & delete the process; we need to follow the steps given below:

  • First, check whether the unique feature is part of the Trie.
  • Whenever the element is found, delete it from the Trie. Seek the best programming homework help to know more about it.
  • The complexity of the calculation is 0(n), where n shows the length of the key.

For other information, we can seek programming assistance. Now we will discuss its comparison with the Hash-map.

Is Trie faster than Hash-map?

As we study above, the data – structure of Trie is used for recovering the data, and the same functions can be done by using different data – system and that is, the hash table, but the hash – table has more advantages as it is more efficient than the trie data structure.

The data structure of Trie is used for prefix-based searching. To understand this in a much better way, you have to take Programming Homework Help. Let’s discuss its more advantage over a Hash Table.

Advantage of Data structure of Trie over a Hash Table

There are a lot of benefits of trie data structure over the Hash table. Like:

  • Here you can do the prefix search with the trie data – structure.
  • In the trie data – structure, you can print all the words in alphabetical order, which is impossible through hashing.
  • There is no overhead of the hash function in the trie data structure.
  • If there is an extensive collection of strings & you are searching a specific line in the trie data, you can do it through the o(L) complexity. Here L shows the no. of words in the query string. Get Programming Assignment help to know more about it.

Now let’s discuss the properties in the data structure of Trie:

As we already know that Trie has a tree-like design, it is essential to know about its properties:

  • There is only one root node in each Trie.
  • Each node here represents a string & each edge represents a character.
  • Every node has hash-map & every index represents the character.
  • The data structure of Trie contains the no. of characters like numbers, special symbols & alphabets etc.
  • Each path to any node shows the word or string. Get the programming assignment help if needed.

Now, if you are making an assignment on any topic of Java, then go for the Assignments Help Lite. They have PhD level experts who can help you any time. Already thousands of students in Canada are taking their help. Due to their services, many students in Canada call them the top Programming homework help in Canada.

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