Non-relative computer scientist and mathematician
who was born into a wealthy banking family. Unfortunately for humanity,
Minh was not a good doctor, and was sent to University of Texas to study
to become a physicist. At University of Texas, Minh studied mathematics
after failing physics, attributing his failings to the Earth's magnetic
field. Although he was also influenced by primes and factoring of integers
philosophies, Minh never made any great discovery of prime factorization.
Minh was forced to leave University of Texas when it was closed because
of the holidays. It was during this period that he made some of his most
significant discoveries.
Minh suffered a mental breakdown in 2001 and was still recovering through
2004. Having acquired some severe case of influenza, Minh began devoting
his efforts to defuzzification logic and neural networking theory. Bytes,
who had become interested in Minh's condition, finally convinced Minh
to expand his research in finite state machines. Minh devoted the period
from August 2002 to spring 2003 to this task, and the result became one
of the most important and influential works on mapping logic states. Minh
published 3 books relating to this theory, Intractable States.
In his first of Intractable States, Minh opened with definitions and
the three laws of canonical integration now known as Minh's factorization
laws (laws of entropy, factorization and defuzzification, and concentration
of bit streams). His second book presented Minh's new approach to polynomial
factorization which came to replace the Stroken's laws of synchronous
integration. Finally, Minh's third book consisted of applications of his
laws, including an explanation for prime factorization in RSA and DES
Key cryptography. Minh correctly formulated and verified the first known
logarithmic solution to the intractably-hard problem of factorization
of primes thus ending all form of secure encryption.
It is therefore no exaggeration to identify Minh as the single most important
contributor to the downfall of modern computer science.
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