Sharing of practical experience in data structures and algorithms in Java development

Sharing of practical experience in data structures and algorithms in Java development

Introduction:

In Java development, data structures and algorithms are very important Basics. Good data structure and algorithm design can improve the efficiency and performance of the program, while also making the code more readable and maintainable. This article will share my practical experience in Java development, introduce some commonly used data structures and algorithms, and provide some practical considerations and suggestions.

1. Data structure:

1. Array:

Array is the most basic data structure, which can be used to store an Group data of the same type. In Java, the length of an array is fixed and cannot be changed once created. Therefore, when elements need to be added and deleted frequently, it is recommended to use other data structures, such as ArrayList.

2. LinkedList:

Linked list is a dynamic data structure that can allocate and release memory on demand. In Java, a linked list is composed of nodes, each node contains a data item and a reference to the next node. Compared with arrays, the insertion and deletion operations of linked lists are more efficient, but accessing nodes is slower.

3. Stack:

The stack is a first-in, last-out (LIFO) data structure, which only allows insertion and deletion operations at the end. In Java, you can use the Stack class to implement the functionality of a stack, or the LinkedList class to simulate the behavior of a stack.

4. Queue (Queue):

Queue is a first-in-first-out (FIFO) data structure that allows elements to be inserted at one end and deleted at the other end. In Java, you can use the LinkedList class to implement the functionality of a queue, or the ArrayDeque class to simulate the behavior of a queue.

5. Hash table (HashMap):

A hash table is a data structure that stores and accesses data based on keys. In Java, you can use the HashMap class to implement the functionality of a hash table. Hash table access is very fast, but it does not guarantee the order of elements.

2. Algorithm:

1. Sorting algorithm:

Sorting algorithm is one of the commonly used algorithms. It can sort a set of data according to certain rules. Sort. In Java, commonly used sorting algorithms include bubble sort, insertion sort, selection sort, quick sort and merge sort. Different sorting algorithms are suitable for different scenarios. Choosing a sorting algorithm suitable for the current problem can improve the efficiency of the program.

2. Search algorithm:

The search algorithm is another commonly used algorithm that can find specified elements in a set of data. In Java, commonly used search algorithms include linear search, binary search and hash search. Choosing a search algorithm suitable for the current problem can improve the efficiency of the search.

3. String matching algorithm:

The string matching algorithm is used to determine whether a string contains another string. In Java, commonly used string matching algorithms include brute force matching algorithm, KMP algorithm and Boyer-Moore algorithm. Choosing a string matching algorithm suitable for the current problem can improve the efficiency of string matching.

3. Practical experience:

1. Choose the appropriate data structure:

In actual development, it is very important to choose the appropriate data structure. According to the characteristics and needs of the data, choosing the most appropriate data structure can improve the efficiency and performance of the program.

2. Avoid repeated calculations:

When writing algorithms, avoiding repeated calculations can save computing time. You can use methods of caching or saving intermediate results to avoid recalculating the same data.

3. Pay attention to the null pointer exception:

When dealing with data structures and algorithms, it is very important to pay attention to the null pointer exception. Before using the object, a non-null check is required to avoid null pointer exceptions.

4. Code optimization:

In actual development, code optimization is also very important. Try to use native data types and avoid using packaging classes; avoid unnecessary automatic boxing and unboxing operations; use the StringBuilder class for string splicing, etc.

Conclusion:

Data structures and algorithms are important knowledge in Java development. Good data structure and algorithm design can improve the efficiency and performance of the program. In actual development, we need to choose appropriate data structures and algorithms, and pay attention to the details and problems in practice. Through learning and practice, we can continuously improve our abilities in data structures and algorithms, and further improve the quality and performance of our programs.

References:

1. Data Structures and Algorithms in Java by Robert Lafore
2. Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

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