jQuery size algorithm
By default, we all use offsetWidth or offsetHeight to determine the value, but we know that the algorithm for these two sizes is as follows:
offsetWidth = border-left-width + padding-left + width + padding-right + border-right-width; offsetHeight = border-top-width + padding-top + height + padding-bottom + border-bottom-width;
Without considering box-sizing:padding-box, That's about it. But don’t the size interfaces also have similar processing like
innerWidth, innerHeight, outerWidth, outerHeight? Of course, although they are all getting the size, there is still a difference.
innerWidth, innerHeight
Used to obtain the currently calculated internal width and height (including padding, but not including border) of the first element in the matching set, or to set the inner width and height of each matching element Width Height.
outerWidth, outerHeight
Get the current calculated width and height value of the first element in the element collection, including padding, border and optional margin
For these situations, jquery I have to give a method to remove the corresponding value. This is the corresponding augmentWidthOrHeight method
Let’s take a look at how to calculate it in detail
innerWidth = ele.offsetWidth –ele.borderRightWidth –ele.borderLeftWidth innerHeight = ele.offseHeight –ele.borderTopHeight –ele.borderBottomHeight
outerWidth If no parameters are passed, the algorithm will be the same as innerWidth Same
If you pass outerWidth(true), you need to add margin
outerWidth(true) = ele.offsetWidth + ele.marginLeft + ele.marginRight outerHeigth(true) = ele.offsetHeigth + ele.marginTop + ele.marginBottom
The interface algorithm for jQuery’s six size methods is like this
php How to round decimals (with examples)
Introduction to the configuration of php-fpm
Two examples of php removing duplicate data from arrays
PHP two-dimensional arrayInstance analysis of deduplication
-
PHP array deduplication function code example
Simple example of PHP array obtaining Key based on value
asp registration code
asp paging program
Introduction to the basics of humanistic ASP development
Breakthrough ASP technology
php decimal taking Complete method (with examples)
Introduction to the configuration of php-fpm
Two examples of php removing duplicate data from arrays
PHP two-dimensional array deduplication example analysis
php array array deduplication function code example
A simple example of PHP array obtaining Key based on value
asp registration code
asp paging program
Introduction to the basics of humanistic ASP development
Breakthrough ASP technology
The above is the detailed content of jQuery size algorithm. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Written above & the author’s personal understanding: At present, in the entire autonomous driving system, the perception module plays a vital role. The autonomous vehicle driving on the road can only obtain accurate perception results through the perception module. The downstream regulation and control module in the autonomous driving system makes timely and correct judgments and behavioral decisions. Currently, cars with autonomous driving functions are usually equipped with a variety of data information sensors including surround-view camera sensors, lidar sensors, and millimeter-wave radar sensors to collect information in different modalities to achieve accurate perception tasks. The BEV perception algorithm based on pure vision is favored by the industry because of its low hardware cost and easy deployment, and its output results can be easily applied to various downstream tasks.

Common challenges faced by machine learning algorithms in C++ include memory management, multi-threading, performance optimization, and maintainability. Solutions include using smart pointers, modern threading libraries, SIMD instructions and third-party libraries, as well as following coding style guidelines and using automation tools. Practical cases show how to use the Eigen library to implement linear regression algorithms, effectively manage memory and use high-performance matrix operations.

The bottom layer of the C++sort function uses merge sort, its complexity is O(nlogn), and provides different sorting algorithm choices, including quick sort, heap sort and stable sort.

The convergence of artificial intelligence (AI) and law enforcement opens up new possibilities for crime prevention and detection. The predictive capabilities of artificial intelligence are widely used in systems such as CrimeGPT (Crime Prediction Technology) to predict criminal activities. This article explores the potential of artificial intelligence in crime prediction, its current applications, the challenges it faces, and the possible ethical implications of the technology. Artificial Intelligence and Crime Prediction: The Basics CrimeGPT uses machine learning algorithms to analyze large data sets, identifying patterns that can predict where and when crimes are likely to occur. These data sets include historical crime statistics, demographic information, economic indicators, weather patterns, and more. By identifying trends that human analysts might miss, artificial intelligence can empower law enforcement agencies

01 Outlook Summary Currently, it is difficult to achieve an appropriate balance between detection efficiency and detection results. We have developed an enhanced YOLOv5 algorithm for target detection in high-resolution optical remote sensing images, using multi-layer feature pyramids, multi-detection head strategies and hybrid attention modules to improve the effect of the target detection network in optical remote sensing images. According to the SIMD data set, the mAP of the new algorithm is 2.2% better than YOLOv5 and 8.48% better than YOLOX, achieving a better balance between detection results and speed. 02 Background & Motivation With the rapid development of remote sensing technology, high-resolution optical remote sensing images have been used to describe many objects on the earth’s surface, including aircraft, cars, buildings, etc. Object detection in the interpretation of remote sensing images

1. The aspect ratio of A4 paper is different from the common 2:3 or 3:4. Its unique ratio of √2:1 makes it stand out among many paper sizes. 2. This special ratio provides ideal visual effects and practicality for A4 paper.

1. Background of the Construction of 58 Portraits Platform First of all, I would like to share with you the background of the construction of the 58 Portrait Platform. 1. The traditional thinking of the traditional profiling platform is no longer enough. Building a user profiling platform relies on data warehouse modeling capabilities to integrate data from multiple business lines to build accurate user portraits; it also requires data mining to understand user behavior, interests and needs, and provide algorithms. side capabilities; finally, it also needs to have data platform capabilities to efficiently store, query and share user profile data and provide profile services. The main difference between a self-built business profiling platform and a middle-office profiling platform is that the self-built profiling platform serves a single business line and can be customized on demand; the mid-office platform serves multiple business lines, has complex modeling, and provides more general capabilities. 2.58 User portraits of the background of Zhongtai portrait construction

Title: jQuery Tips: Quickly modify the text of all a tags on the page In web development, we often need to modify and operate elements on the page. When using jQuery, sometimes you need to modify the text content of all a tags in the page at once, which can save time and energy. The following will introduce how to use jQuery to quickly modify the text of all a tags on the page, and give specific code examples. First, we need to introduce the jQuery library file and ensure that the following code is introduced into the page: <
