Top 10 algorithms for programmers


The current society is witnessing a tremendous revolution in technology. New inventions are constantly being updated. Often the origin of these inventions is from the old-fashioned programs that can dominate and manipulate ongoing technology trends. Among them can not help but mention coding and algorithms, used to develop such competitive programs. Therefore, for a successful and influential program, it is inevitable to exploit the best and correct algorithm. Here are the top 10 algorithms that are widely used in programming and web development.

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Hashing 2019
  • Currently involved in the detection and identification of appropriate data by key and ID, according to one study, Hashing is the algorithm used. As an extension of error detection, cache management, encryption and lookup, Hashing functions integrate matching keys and give exact values. This function can also be used as a unique identifier for certain data sets and calculations that allow users to create non-overlapping data values. Usually it is applied in routers to store IP addresses.

Search Algorithms

Search Algorithms 2019
  • Search algorithms are often applied to a series of linear data structures or graphic data structures. The linear search algorithm is also known as binary search, which helps developers conduct efficient searches on data sets arranged with time complex functions of O (log N). The mechanism of binary search is to split the list into two halves until it finds the required item and is often used to remove errors related to git bisection. These algorithms are also known as the First Search Depth / Width function, which gives the data structure a circular or tree-shaped graph that has enabled the search function to identify data sets. necessary in lintel model. BFS is very popular in search engines, also used to build bots in the AI ​​or to locate the shortest path between two cities.

Sort algorithm (Sort Algorithms)

Sort algorithm 2019
  • Sort algorithms are often used by developers to place data in an organized way. In QuickSort algorithm, data components are compared to determine their corresponding order. It has the time complexity of O (nLogn) to make comparisons. However, Radix Sort is a faster technique than QuickSort because it arranges elements in a linear model with O (n) time complexity. The simplicity of this algorithm makes it popular. Other sorting algorithms include Unified sorting, Grouping and Sort counting.

Dynamic Programming Algorithms

Dynamic Programming Algorithms 2019
  • Dynamic programming is often a function that solves complex intellectual-related problems by separating problems into smaller subproblems, solving them then building back into complex problems with the memory of smaller results to give an answer to the original complex problem. Dynamic programming has the ability to integrate to memorize, allowing storage of memories of previously resolved issues. If the next time the problem appeared, it would be resolved much faster.

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Link Analysis (Link Analysis)

  • Commonly used in the field of networking, link analysis provides interoperability between different entities in an important domain for search engines. The algorithm uses a complex graphical representation and matrix, linking similar bases in the current domain. Link analysis is common in search engines like Google, in social media sites like Facebook and Twitter, where extensive search is focused.

Module Math (Modulo Arithmetic Algorithms)

  • Many cryptographic algorithms are complex but if analyzed on modular arithmetic , it becomes extremely simple. In modular arithmetic, the numbers we are dealing with are only integers and the operations used are addition, subtraction, multiplication and division. The only difference between modular arithmetic and arithmetic on books is in modular arithmetic, all activities are performed in relation to positive integers, ie modules.

For example:

  1. Basic and extended Euclidean algorithm
  2. Euler’s perfect equation
  3. Excess module
  4. Calculate the inverse of the module
  5. China’s balance theorem
  6. China’s residual theorem and implementation of the inverse of the module

String and parsing algorithm (String Matching and Parsing Algorithms)

  • The process of creating the corresponding string is always important especially for the domain and the network element. This string algorithm will maximize performance in situations where strings must match in a long string or when validating strings by parsing through a predefined limit. These algorithms are often used in web development for URLs.

Fourier transform algorithm (Fourier Transform Algorithms)

  • Fourier transforms or Quick Fourire transformations are simple but very powerful algorithms. They are used to convert signals from time domain to frequency domain and vice versa. All digital networks such as Internet, WiFi, phones, computers, routers, satellites, use this algorithm to operate. These are the algorithms required to know if you specialize in electronics, computing or telecommunications.

Non-intersecting set algorithms (Disjoint Sets)

  • The non-intersecting set of algorithms is a data structure that acts as the help structure in an algorithm to represent multiple sets in individual arrays, with each item being an element of one of many collections. Therefore, separate sets represent the connected elements in graph algorithms or an image segmentation.

Integer Factorization

  • The integer exponent algorithm is a mathematical algorithm that provides step-by-step instructions on how to get the prime factors of some synthesizers. This algorithm solves complex problems in cryptographic platforms that require you to solve large complex integers.


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