Google Algorithm

                                                             Google algorithm

Google algorithms are the bundle of rules that Google uses to grade websites in search results. Google's algorithm that may change has always been based on a user-centered approach. It constantly aims will bring more relevant results to users' queries. Google thinks your website delivers value to users or customers, it helps to most likely to give you a better ranking boost.

Algorithm Works

The algorithm is this coded formula that is written into software that, when triggered timing, prompts the tech to take relevant action to solve a problem. Computer algorithms work via input and output.

For example, a list of the search algorithms responds to our search query by working to retrieve the relevant information stored within those data structures.

There are three constructs to the same algorithm.

Ø      Linear sequence: This algorithm progresses through tasks or statements, one after the other.

Ø    Conditional: This algorithm makes a decision between two courses of action, based on the conditions set, i.e. if X is equal to 10 then do x.

Ø      Loop: This algorithm is made up of a sequence of statements that are repeated sometimes.

Types of Algorithm

·         Brute force algorithm

Direct and straight to the point, the brute force algorithm is the simplest but the most valuable applicable, eliminating incorrect solutions based on this trial and error.

·         Recursive algorithm

Recursive algorithms repeat the same steps until this problem is solved.

·         Backtracking algorithm

Using a many combination that brute force and the recursive approach, a backtracking algorithm that builds a data set of all possible solutions incrementally.

·         Greedy algorithm

All about getting more juice for the squeeze, greedy algorithms are employed to source and select the optimal solution to a problem and also they typically extract the most obvious and immediate information in the minimum time, enabling devices to sort through data quickly and efficiently.

·         Dynamic programming algorithm

A dynamic program in the algorithm remembers the outcome of a previous run and uses this information to arrive at new results. Applicable to more complex problems, these algorithms solve multiple smaller sub-problems first, with strong solutions for future reference.

·         Divide and conquer algorithm

Similar to dynamic programming, that algorithm divides that problem into smaller parts. When the substitute problems are solved, their solutions are considered together and combined to produce the final best result.