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Breakthrough Algorithm – A Faster And Better Version Of Previous One

An algorithm is a sequence of steps or procedure or formula that is used for solving a problem. It is mainly used for processing of data, mathematical and computational Calculation.

For example:

BFS is a graph search algorithm which is used for solving problems like finding the shortest path in a graph and solving puzzle games. Similarly, Binary search algorithm is used for searching a particular value from a sorted array. To develop an algorithm mainly 5 major steps are kept in mind that is discussed below.

The development process of algorithm mainly has 5 major steps:-

  1. Get a brief of the problem
  2. Research the problem
  3. Develop a high-level algorithm
  4. Improve the algorithm
  5. Assess the algorithm

László Babai, A well-known professor of mathematics at the University of Chicago, announced the invention of a new algorithm that significantly simplifies some of the well-known difficult problems in computer science. This groundbreaking advancement has led many experts in the field of algorithms to doubt that the theory they have always believed may not be reliable. At the same time, the discovery also reminds us that perhaps a similar breakthrough can be made, making it easier to break through data encryption algorithms.

An algorithm namely “breakthrough algorithm” came into existence. Computer scientists Harvard John have built up a totally new sort of algorithm, which exponentially increases the computation by drastically decreasing the number of parallel steps to achieve a particular solution.

The Assistant Professor of Computer Science at SEAS Yaron Singer said: “These advancement problems have consistently decreased the return property, as the computation increases,  its relative gain from each progression step becomes shorter and smaller.”

The sequential algorithm was given in 1970’s and since then no modification is done on that algorithm. This algorithm is used to find the optimum solution from the set of all solutions that can be possible. As for example, the Sequential algorithm is used to find the minimal route from point A to point B. Using this algorithm, a problem is solved serially i.e by a step-by-step process. While solving the problem using the algorithm, step to be taken totally depends on the quantity of data. But this case has prompted a computational bottleneck, bringing about lines of inquiries and areas of research that are too costly to explore in the prospect of computation.

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