and to shuffle lists? Random
OrderBy
This article explores the efficiency of using the and
Random
Code working principle OrderBy
var r = new Random(); var shuffled = ordered.OrderBy(x => r.Next());This code uses
class to generate random numbers. For each element in the list, the method uses Lambda expression to allocate a random number for it. Then, the list is sorted according to these random numbers to achieve shuffling effects.
What is the efficiency of this shuffle algorithm? Random
ordered
Although this code can achieve the purpose of shuffling, its efficiency is problematic. OrderBy
The bottom layer of the method uses O (N Log N) sorting algorithm, which is too complicated for the reshuffle task, because the reshuffle only requires the time complexity of O (n). x => r.Next()
The more effective shuffle algorithm is the Fisher-Yates shuffle algorithm. It is easy to understand and has time complexity of O (N). For convenience and clarity, you can create a
expansion method using the Fisher-Yates algorithm.
OrderBy
Fisher-Yates shuffle algorithm through iteration lists, exchanging elements with random selected elements to achieve shuffling. The following is a simple expansion method (unlimited check):
Using the Fisher-Yates algorithm can avoid the calculation overhead brought by while maintaining the shuffling function.
The above is the detailed content of Is Using `OrderBy` with `Random` an Efficient Way to Shuffle a List?. For more information, please follow other related articles on the PHP Chinese website!

Mastering polymorphisms in C can significantly improve code flexibility and maintainability. 1) Polymorphism allows different types of objects to be treated as objects of the same base type. 2) Implement runtime polymorphism through inheritance and virtual functions. 3) Polymorphism supports code extension without modifying existing classes. 4) Using CRTP to implement compile-time polymorphism can improve performance. 5) Smart pointers help resource management. 6) The base class should have a virtual destructor. 7) Performance optimization requires code analysis first.

C destructorsprovideprecisecontroloverresourcemanagement,whilegarbagecollectorsautomatememorymanagementbutintroduceunpredictability.C destructors:1)Allowcustomcleanupactionswhenobjectsaredestroyed,2)Releaseresourcesimmediatelywhenobjectsgooutofscop

Integrating XML in a C project can be achieved through the following steps: 1) parse and generate XML files using pugixml or TinyXML library, 2) select DOM or SAX methods for parsing, 3) handle nested nodes and multi-level properties, 4) optimize performance using debugging techniques and best practices.

XML is used in C because it provides a convenient way to structure data, especially in configuration files, data storage and network communications. 1) Select the appropriate library, such as TinyXML, pugixml, RapidXML, and decide according to project needs. 2) Understand two ways of XML parsing and generation: DOM is suitable for frequent access and modification, and SAX is suitable for large files or streaming data. 3) When optimizing performance, TinyXML is suitable for small files, pugixml performs well in memory and speed, and RapidXML is excellent in processing large files.

The main differences between C# and C are memory management, polymorphism implementation and performance optimization. 1) C# uses a garbage collector to automatically manage memory, while C needs to be managed manually. 2) C# realizes polymorphism through interfaces and virtual methods, and C uses virtual functions and pure virtual functions. 3) The performance optimization of C# depends on structure and parallel programming, while C is implemented through inline functions and multithreading.

The DOM and SAX methods can be used to parse XML data in C. 1) DOM parsing loads XML into memory, suitable for small files, but may take up a lot of memory. 2) SAX parsing is event-driven and is suitable for large files, but cannot be accessed randomly. Choosing the right method and optimizing the code can improve efficiency.

C is widely used in the fields of game development, embedded systems, financial transactions and scientific computing, due to its high performance and flexibility. 1) In game development, C is used for efficient graphics rendering and real-time computing. 2) In embedded systems, C's memory management and hardware control capabilities make it the first choice. 3) In the field of financial transactions, C's high performance meets the needs of real-time computing. 4) In scientific computing, C's efficient algorithm implementation and data processing capabilities are fully reflected.

C is not dead, but has flourished in many key areas: 1) game development, 2) system programming, 3) high-performance computing, 4) browsers and network applications, C is still the mainstream choice, showing its strong vitality and application scenarios.


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

WebStorm Mac version
Useful JavaScript development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

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

Atom editor mac version download
The most popular open source editor

Dreamweaver CS6
Visual web development tools
