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HomeWeb Front-endJS Tutorial10 recommended articles about detailed explanations of algorithms

java Collection (1) - Detailed explanation of data structure: http://www.php.cn/java-article-354226.html A framework refers to a collection of classes. There are many super classes and interfaces in the collection. These super classes Many advanced mechanisms, functions and strategies are implemented in the class. Users of the framework can create subclasses to implement and extend superclasses without recreating these basic mechanisms. In daily work, the technologies we use are basically frameworks. When we use those packages and call those functions, we will use the idea of ​​​​this framework. After analyzing the data structure of the collection in Collection (1), today we will continue to discuss the framework of the collection. (1) Collection data structure review Basic type implementation interface description List linked list LinkedList Deque, List, Queue realizes doubly linked list array list ArrayListList, RandomAccess data is passed into the dynamic array to automatically expand the array size Set hash set by storing the references of the front and rear nodes HashSetSet hash method stores data, disordered but efficient when searching. TreeSetNavigableS

1. java collection (2) - Detailed explanation of collection framework and algorithm

10 recommended articles about detailed explanations of algorithms

Introduction: A framework refers to a set of classes. There are many super classes and interfaces in the set. Many advanced functions are implemented in these super classes. Mechanics, functions and strategies. Users of the framework can create subclasses to implement and extend superclasses without recreating these basic mechanisms. In daily work, the technologies we use are basically frameworks. When we use those packages and call those functions, we will use the idea of ​​​​this framework. After analyzing the data structure of the collection in Collection (1), today we will continue to discuss the framework of the collection. (1) Review of collection data structure Basic

2. Detailed explanation of common sorting algorithms in JS

10 recommended articles about detailed explanations of algorithms

##Introduction: This article will introduce in detail the usage of algorithms in JavaScript, with animated graphics that vividly allow you to learn the principles of algorithms and their use in demand scenarios in the fastest way.

3. Detailed explanation of commonly used Java sorting algorithms

10 recommended articles about detailed explanations of algorithms

##Introduction: This article mainly introduces the implementation of seven common sorting algorithms in Java. It analyzes the principles and introduces examples of selection sort, insertion sort, bubble sort, merge sort, quick sort, Hill sort, and minimum heap sort. It has Very good reference value. Let’s take a look with the editor below

4.

Detailed explanation of PHP Bubble Sort algorithm

10 recommended articles about detailed explanations of algorithms

Introduction: Bubble sorting roughly means comparing two adjacent numbers in sequence, and then sorting according to size until the last two digits. Since in the sorting process, small numbers are always placed forward and large numbers are placed backward, which is equivalent to bubbles rising, so it is called bubble sorting. But in fact, in the actual process, you can also use it in reverse according to your own needs. The big trees are placed forward and the decimals are placed backward.

5.

Detailed explanation of PHP Bubble Sort algorithm

10 recommended articles about detailed explanations of algorithms

Introduction: Detailed explanation of PHP Bubble Sort algorithm

6.

php Detailed explanation of binary search algorithm_PHP tutorial

Introduction: Detailed explanation of PHP binary search algorithm. Detailed explanation of PHP binary search algorithm 1. Concept: Binary search is also called half search. Its advantages are less number of comparisons, fast search speed, and good average performance; its disadvantage is that the table to be looked up is required to be an ordered table

7.

Detailed explanation of PHP bubbling algorithm (recursive implementation), bubbling recursion_PHP tutorial

Introduction: Detailed explanation of PHP bubbling algorithm (recursive implementation), bubbling recursion. Detailed explanation of PHP bubble algorithm (recursive implementation), bubble recursive implementation copy code code is as follows: /* Bubble algorithm (recursive implementation) */ function maoPao($array, $index=0) { $count = count($array)

8. PHP quick sort algorithm detailed explanation, sorting algorithm detailed explanation_PHP tutorial

10 recommended articles about detailed explanations of algorithms

Introduction: Detailed explanation of PHP quick sort algorithm, detailed explanation of sorting algorithm. Detailed explanation of PHP quick sort algorithm, detailed explanation of sorting algorithm Concept Here is a picture borrowed from Baidu Encyclopedia, which is very vivid: The quick sort algorithm is an optimization of the bubble algorithm. His idea is

9. Detailed explanation of the reversible encryption algorithm that can be shared by PHP and C#, _PHP tutorial

Introduction : Detailed explanation of the reversible encryption algorithm that can be shared by PHP and C#. Detailed explanation of the reversible encryption algorithm that can be shared by PHP and C#. In some projects, it is required to generate encryption in php, and then decrypt the password received in asp.net. Let me share with you a PHP and

10. Detailed explanation of php binary search algorithm

Introduction: Detailed explanation of php binary search algorithm. Detailed explanation of PHP binary search algorithm 1. Concept: Binary search is also called half search. Its advantages are less number of comparisons, fast search speed, and good average performance; its disadvantage is that the table to be looked up is required to be an ordered table

[Related Q&A recommendations]:

javascript - Why is the algorithm complexity of the traditional diff algorithm O(n3)?

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