ALGORITHMS DEFINITION AND ITS REAL WORLD
APPLICATIONS
Origin
The word algorithm comes from the name of the 9th century Persian
Muslim mathematician Abu Abdullah Muhammad ibn
Musa Al-Khwarizmi, whose work built upon that of the 7th century Indian
mathematician Brahmagupta. The
word algorism originally referred only to the rules of performing arithmetic
using Hindu-Arabic numerals but evolved via European Latin translation of
Al-Khwarizmi's name into algorithm by the 18th century. The use of the word
evolved to include all definite procedures for solving problems or performing
tasks.
What is an algorithm?
In mathematics and computer science, an algorithm is a step-by-step procedure for
calculations. Algorithms are used for calculation, data processing, and automated
reasoning.
wherever
we use computers, we rely on algorithms: "There are lots of types, but
algorithms, explained simply, follow a series of instructions to solve a
problem. It's a bit like how a recipe helps you to bake a cake. Instead of
having generic flour or a generic oven temperature, the algorithm will try a
range of variations to produce the best cake possible from the options and
permutations available."
A simple example:
The use of algorithms in
policing is one example of their increasing influence on our lives.
From dating websites and
City trading floors, through to online retailing and internet searches
(Google's search algorithm ) algorithms are increasingly determining our
collective futures. "Bank approvals, store cards, job matches and more all
run on similar principles,
current
interest in them is due to the vast amounts of data now being generated and the
need to process and understand it. They are now integrated into our lives. On
the one hand, they are good because they free up our time and do mundane
processes on our behalf.
Applications:
1.design new drugs.
2.model the climate.
3. perform high-frequency
trading.
4.flying a plane on autopilot.
5. An algorithm to analyse
and rate hit records on youtube. Using a technique called advanced spectral
deconvolution, the algorithm breaks up each hit song into its component parts –
melody, tempo, chord progression and so on – and then uses that to determine
common characteristics across a range of No 1 records. Example:McCready's algorithm correctly predicted – before they were even released – that the
debut albums by both Norah Jones and Maroon 5 contained a disproportionately
high number of hit records.
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