History of computing
|History of computing|
|1960s to present|
The history of computing is longer than the history of computing hardware and modern computing technology and includes the history of methods intended for pen and paper or for chalk and slate, with or without the aid of tables. The timeline of computing presents a summary list of major developments in computing by date.
Computing is intimately tied to the representation of numbers. But long before abstractions like number arose, there were mathematical concepts to serve the purposes of civilization. These concepts are implicit in concrete practices such as :
- one-to-one correspondence, a rule to count how many items, which was eventually abstracted into number;
- comparison to a standard, a method for assuming reproducibility in a measurement;
- the 3-4-5 right triangle was a device for assuring a right angle.
These simple rules of thumb have been known for millennia, which impelled some men to ask seemingly imponderable questions, such as how many grains of sand are on this beach; some men, like Archimedes, even had the audacity of mind to answer them, in the Sand Reckoner.
Eventually, numbers become a concrete-enough and familiar-enough device for counting to arise, at times with sing-song mnemonics to teach sequences to others. All the known languages have words for at least "one" and "two", and even some animals like the blackbird can distinguish a surprising number of items.
Advances in the numeral system and mathematical notation eventually led to the discovery of mathematical operations such as addition, subtraction, multiplication, division, squaring, square root, and so forth. Eventually the operations were formalized, and concepts about the operations became understood well enough to be stated formally, and even proven. See, for example Euclid's algorithm for finding the greatest common divisor of two numbers.
By medieval times, the Hindu-Arabic positional number system had reached Europe, which allowed for systematic computation of numbers. During this period, the representation of a calculation on paper actually allowed calculation of mathematical expressions, and the tabulation of mathematical functions such as the square root and the common logarithm (for use in multiplication and division) and the trigonometric functions. By the time of Isaac Newton's researches, paper or vellum was an important computing resource, and even in our present time, researchers like Enrico Fermi would cover random scraps of paper with calculation, to satisfy their innate curiosity about an equation. Even into the period of programmable calculators, Richard Feynman would unhesitatingly compute any steps which overflowed the memory of the calculators, by hand, just to learn the answer. Underlying it all was the elation they found in the calculations: try a typical Feynman question -- what happens when you add up the first few odd numbers?
Navigation and astronomy
Starting with known special cases, the calculation of logarithms and trigonometric functions can be performed by looking up numbers in a mathematical table, and interpolating between known cases. For small enough differences, this linear operation was accurate enough for for use in navigation and astronomy in the Age of Exploration. The uses of interpolation have thrived in the past 500 years: by the twentieth century Leslie Comrie and W.J. Eckert systematized the use of interpolation in tables of numbers for punch card calculation.
In our time, even a student can simulate the motion of the planets, an N-body differential equation, using the concepts of numerical approximation, a feat which even Isaac Newton could admire, given his struggles with the motion of the Moon.
The numerical solution of differential equations, notably the Navier-Stokes equations was an important stimulus to computing, with Lewis Fry Richardson's numerical approach to solving differential equations. To this day, the most powerful computer systems of the Earth are used for weather forecasts.
By the late 1960s, computer systems could perform symbolic algebraic manipulations well enough to pass college-level calculus courses. Using programs like Maple, Macsyma and Mathematica, including some open source programs like yacas, it is now possible to visualize concepts such as modular forms which were only accessible to the mathematical imagination before this.