Algorithm high-frequency interview: merge K ordered linked lists
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High frequency algorithm interview: judge whether the linked list has links? 00:43 seven thousand seven hundred and thirty-two Finally understand the inverted single linked list In this technical topic, the reverse technique of single linked list is discussed. The reverse operation includes defining the traversal pointer current and the pre pointer prive, and realizing the flip of each node through the pointer operation. The detailed steps include locating the next node of current, exchanging the current and prive pointers, and finally moving the prive and current pointers to the next node. By repeating this process until the end of the linked list, the entire linked list is inverted. The computer terminal output is prive, because it will become the new head node after inversion. This kind of technical content is suitable for people who have some knowledge of data structure, have programming foundation or are interested in algorithm implementation. 01:31 six thousand nine hundred and fifty-seven Algorithm high-frequency interview: find the entry point of the ring linked list This video introduces a method to find the ring node in the linked list data structure. When there is a ring in the linked list, it is the core problem to identify and find the starting node of the ring. The video uses fast and slow pointer technology for cycle detection; When two pointers meet in the ring, a new pointer is introduced to start from the head node. This paper discusses in detail how to move the new pointer and the slow pointer synchronously until they meet. At this time, the meeting point is the incoming node. The logic of the demonstration is clear, the method is efficient, and it is suitable for developers who are pursuing algorithm efficiency and performance optimization. In addition, the graphical aids provided help to understand the derivation process. The video content is suitable for developers, algorithm learners, data structure analysts and technicians in related fields interested in linked lists and their algorithms. 00:39 six thousand four hundred and three Purpose of C++algorithm As an efficient programming tool, C++algorithm provides solutions in many technical fields. Its main applications include physical engine and AI implementation in game development, image processing and image and network recognition in computer vision, audio and digital signal processing, data encryption and network communication security. C++algorithms are also key to parallel and distributed computing, such as cloud computing and high-performance computing, as well as scientific computing and numerical analysis, such as mathematical models and weather forecasting. It is suitable for a wide range of technical scenarios in the context of academic and engineering applications, and provides powerful and flexible programming capabilities. 01:06 44 thousand Python crawler: basic usage of Requests library This content focuses on using Python's requests library to crawl web page data. This paper introduces the applicability and convenience of requests library as an HTTP library without transgenic technology in the process of human obtaining web page data. The video explains how to install the library and how to use the GET method to obtain web objects. It also includes the explanation of HTTP status codes, which help developers identify the response status of HTTP requests. It emphasizes the importance of text coding, and it is necessary to set appropriate coding when processing crawled text data to avoid garbled code. In addition, the video provides a concrete code example demonstration of extracting web page text information through the requests library, which is intended to help developers understand how to use this tool to extract data. 07:32 30 thousand Learn C++from Teacher Wang: divide and conquer algorithm Divide and conquer algorithm is a powerful skill, which plays a key role in solving complex problems. This abstract focuses on the application of divide and conquer algorithm in C++, emphasizes its characteristic of decomposing large problems into small problems that can be solved independently, and points out the importance of combining function design. Recursive functions are commonly used in this process. They can be combined with parallel computing to make tasks such as array sorting and searching more efficient. Typical practical application scenarios include database query and web crawler. In these scenarios, large-scale data processing becomes easier to manage through divide and conquer algorithm, and processing speed is also improved. This algorithm not only reduces the complexity of the problem, but also shortens the solution time. For C++developers who want to improve the efficiency of data processing, it is crucial to master the divide and conquer algorithm. 00:57 14 thousand I'm participating in the annual lecturer selection of 51CTO School. Come and vote for me! With 16 years of profound experience in the IT education industry, Mr. Wang focuses on youth programming education, aiming to help young students achieve better personal growth through technical guidance. Teacher Wang's teaching power comes from the support and trust of all sectors of society. This participation in 51CPU annual lecturer selection also seeks wider recognition. 00:34 54 thousand Xinaosai C++ C++language plays an important role in the Informatics Olympic Games, providing efficient programming means and powerful functional support. He is good at complex programming, especially showing efficient solutions to algorithm problems such as dynamic programming. Its cross platform and scalability make it applied in many fields such as scientific computing, graphics and artificial intelligence. Rich standard library and third-party library resources further improve the development efficiency of C++, which is a way to enhance competitiveness for those who pursue in-depth computer programming technology. It is suitable for developers and learners who are interested in deepening their programming ability and solving complex problems. 01:04 47 thousand
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