top of page

A new innovating Algorithm based on 40 years of Orthodontic concept!

Headquarters of ELINE System, at Rome represents the rich and invaluable knowledge, huge and unique experience and excellent organizing of a great Orthodontic team owned and directed by Prof. Giuseppe Scuzzo.

Being the forefront of research and development of digital solutions for lingual and vestibular orthodontics and the proprietary of innovative software solutions aimed at the analysis and optimization of orthodontic setup, as well as holder of numerous international patents in the orthodontic field, the team has developed an amazing and efficient algorithm following the data and the research conclusions came from 40 years clinical evidence and results.

Algorithms can perform calculation, data processing and automated reasoning tasks.In programming, algorithms perform specific functions to complete required tasks.

The concept of algorithm has existed for centuries, however, a partial formalization of what would become the modern algorithm began with attempts to solve the Entscheidungs problem (the "decision problem") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define "effective calculability" or "effective method" those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's "Formulation 1" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939. Giving a formal definition of algorithms, corresponding to the intuitive notion, remains a challenging problem.

Through the years we reached the computational complexity theory!

The last is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. A computational problem is understood to be a task that is in principle amenable to being solved by a computer, which is equivalent to stating that the problem may be solved by mechanical application of mathematical steps, such as an algorithm.

301 views0 comments


bottom of page