What is Algorithm Analysis?

Algorithm analysis is a quantitative analysis of how much calculation time and storage space an algorithm requires. Algorithm (Algorithm) is a step to solve a problem. The algorithm can be defined as any special method for solving a certain type of problem. In computer science, algorithms are described in computer algorithm language. Algorithms represent accurate and effective methods for solving a class of problems with computers.

A program

The spatial complexity of an algorithm is what it takes to run the program from start to finish.

There is a question in the search engine optimization category that often makes people feel puzzled. What sort of ranking elements end up determining the ranking of a web page. And each search engine company maintains its search engine algorithms extremely closely, as long as very few companies have the opportunity to see the full picture of these algorithms. And even if you have the opportunity to see the true appearance of these algorithms, you must have deep mathematical skills to understand the words. This makes it difficult to know the entire concept of search engine optimization

Algorithm analysis algorithm application and problem solving

In order to return the results to users more quickly, search engine companies usually simplify huge calculations. These algorithms used by search engines will set a basic criterion for comparing the value of websites. Different search engines use different benchmarks. For example, Google's algorithm uses more than 200 benchmarks to build this benchmark. After much research and sharing of search engine enthusiasts, everyone also knows some of the important ones in search engine algorithms. But if you want to know the details of the search engine, it is impossible to work, not to mention that Google makes a lot of changes to the algorithm every day. Some corrections have a big impact, while others are only minor corrections. The constant change of the search algorithm makes it more difficult for everyone to know the details of the algorithm.

Algorithm analysis algorithm optimization

Once the algorithm is determined, there are some guidelines to follow when building a website (or updating a website for SEO). The most important of these guidelines is to be people-centered, not to portray a website for a search engine. Therefore, if the website created is about spring vacation, it should provide users with information and links related to spring vacation. When the crawler retrieves the website, if the website contains links to flight booking websites, fake websites, garden display websites, or other websites related to spring vacation, the crawler will track these connections and determine the relevance of these websites through algorithms. If these sites are closely related to the spring vacation, the site can achieve a higher ranking. If the website is connected to some irrelevant websites, it will be able to find the crawler as a connected field, the website ranking will be poor, and even blocked. What is difficult to determine is how many related websites must be connected to the website and how many unrelated websites can be connected. In common sense, if you paint a webpage about spring vacation, the ambition is that the links in and out of this webpage are from related webpages. Advertising can be an exception, but this is clearly marked as advertising. Another situation is that all links on the site are ads pointing to unrelated sites. Such web pages are obviously unpopular, and the ranking of web pages in search engines will naturally decrease.

Keywords have the same question. Find sites with high eccentric keyword density. Regardless of the search engine, the content is important, but on the question of how to determine the impact of content on web page rankings, each search engine has different methods. Similarly, the importance of meta tags in different search engines varies.