Course6847
Course Introduction:"Qianfeng HTML5 Tutorial Part 2: Micro-Case Explanation Video Tutorial" This set of video tutorials mainly uses small cases to let everyone understand the knowledge points learned, and achieve different interactive effects through the reasonable use of knowledge points. This learning model that combines theory and practice allows everyone to better master theory and practical applications. This is also the teaching feature of Qianfeng HTML5 discipline. Only continuous practice can improve working methods and work experience. Micro cases include various HTML5-related projects, such as page layout, cool animation effects, game development, mobile development, front-end and back-end development, etc. There are many design contents and a wide range, covering various development needs. I hope this set of micro-case teaching videos can help everyone in their study and work.
Course27235
Course Introduction:The second phase of the online training class on PHP Chinese is a full live broadcast of the class, delivered by Peter Zhu, a professional lecturer on this site. The course covers front-end development and the most practical technologies for server-side development.
Course25206
Course Introduction:The second phase of the online training class on PHP Chinese is a full live broadcast of the class, delivered by Peter Zhu, a professional lecturer on this site. The course covers front-end development and the most practical technologies for server-side development.
Course2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Implement filters and pagination using Laravel Eloquent
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Encountering Laravel Mix error while trying to install Laravel Breeze
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Alternative to copy or download generated QR (vue-qrcode) code using VueJs
2023-11-06 00:01:12 0 1 301
What is chrome-extension:// installHook.js being downloaded in the About Me page?
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2023-10-31 20:01:48 0 2 222
Course Introduction:Below, the Java introductory tutorial column will introduce you to the method of implementing binary search. I hope it can help you. Binary search is a binary search, which searches for specified elements in an ordered sequence and sets the minimum index, maximum index, and intermediate value.
2019-12-30 comment 02019
Course Introduction:How to use Java to implement binary search algorithm Binary search algorithm is an efficient search method suitable for sorted arrays. Its basic idea is to continuously narrow the search range, compare the search value with the elements in the middle of the array, and decide whether to continue searching the left half or the right half based on the comparison result until the target element is found or the search range is reduced to empty. Below we will introduce in detail how to implement the binary search algorithm in Java. Step 1: Implement the binary search method publicclassBinarySearch
2023-09-19 comment 0444
Course Introduction:Overview of binary search Binary search is also called binary search (BinarySearch), which is a more efficient search method. However, binary search requires that the linear table must adopt a sequential storage structure, and the elements in the table must be arranged in order by keywords. Merge sort uses the idea of dichotomy. First, you need an array sorted from small to large. First compare the middle value. If it is larger than what you are looking for, search forward. Take the first half of the middle value and then find the middle value before comparing. If it is smaller than what you are looking for, search backwards, take the half after the middle value and then take the middle value and compare. Recursive implementation Here, I used a recursive method to implement it. First, you need to confirm the search range, that is, there is a left index and a right index, and each time (left+right)/2 is taken as the middle
2023-04-18 comment 0974
Course Introduction:Binary search, also known as half search, has the advantages of fewer comparisons, fast search speed, good average performance, and takes up less system memory; its disadvantage is that the table to be looked up is required to be an ordered table, and insertion and deletion are difficult. Therefore, the binary search method is suitable for ordered lists that do not change frequently but are searched frequently. First, assuming that the elements in the table are arranged in ascending order, compare the keyword recorded in the middle position of the table with the search keyword. If the two are equal, the search is successful; otherwise, use the middle position record to divide the table into two sub-tables, the first and last. If If the keyword recorded in the middle position is greater than the search keyword, then the previous sub-table will be searched further, otherwise the next sub-table will be searched further. Repeat the above process until a record that meets the conditions is found, making the search successful, or until the subtable does not exist, in which case the search fails.
2024-02-15 comment137
Course Introduction:How to use PHP to implement the binary search algorithm. The binary search algorithm is an efficient search algorithm that is suitable for finding specified elements in an ordered array. This article will introduce how to use PHP language to implement the binary search algorithm, and attach code examples. The idea of the binary search algorithm is to divide the array into two parts, and then determine which part the target value is in by comparing the size relationship between the target value and the middle element. If the middle element is equal to the target value, the search is successful; otherwise, continue in the corresponding part according to the relationship between the middle element and the target value.
2023-07-07 comment 0583