By Vladimir Uspensky, A.L. Semenov
Today the idea of the set of rules is usual not just to mathematicians. It varieties a conceptual base for info processing; the life of a corresponding set of rules makes computerized details processing attainable. the idea of algorithms (together with mathematical good judgment ) kinds the the oretical foundation for contemporary desktop technology (see [Sem Us 86]; this text is termed "Mathematical good judgment in desktop technological know-how and Computing perform" and in its identify mathematical common sense is known in a wide feel together with the idea of algorithms). notwithstanding, no longer everybody realizes that the note "algorithm" encompasses a reworked toponym Khorezm. Algorithms have been named after an excellent sci entist of medieval East, is al-Khwarizmi (where al-Khwarizmi ability "from Khorezm"). He lived among c. 783 and 850 B.C. and the 12 months 1983 used to be selected to have fun his 1200th birthday. a quick biography of al-Khwarizmi compiled within the 10th century begins as follows: "al-Khwarizmi. His identify is Muhammad ibn Musa, he's from Khoresm" (cited in accordance with [Bul Rozen Ah eighty three, p.8]).
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Additional info for Algorithms: Main Ideas and Applications
0. The case of O-premise rules (which deduce "something from nothing") deserves a special attention. The problem is that local rules may be applied to complexes and "nothing" is not a complex. We assume that each O-premise rule declares some fixed complex as admissible (Le. allows to deduce it "from nothing"). Therefore only a finite number of complexes will be admissible according to O-premise rules (not more than the number of O-premise rules in our calculus). In the case of a k-premise rule for k ~ 1 a "permitting" rule must be (as we have said) a local action in the sense of chap.
Containing complete information about the algorithm encoded by rules common to all algorithms of a given type. Usually the definition of an algorithm image is chosen in such a way that procedures of transforming an algorithm into its image and vice versa would be as simple as possible". In fact to explain a computational model it is enough to present a certain Universal Recipe which for every formal description and every input permits us to obtain the corresponding output (=result). (Cf. 3. e. ) Provided both formal description and initial data have been encoded reasonably, the pair (formal descripton, initial data) turns out to be an element of a suitable aggregate and the Universal Recipe becomes the interpreter and (when the model is representative) the universal algorithm (see chap.
Let us illustrate all this with two examples. A CHESS EXAMPLE. Our goal is to construct a calculus which generates all positions on a chessboard where the player has no legal moves (according to the rules of chess these are draw positions). We use the chess rules as "permitting rules" of this calculus. Main states are states without legal moves (recall that the information saying who must make the next move is included in a state). The output procedure transforms a state into a position (Le. discards any additional information).
Algorithms: Main Ideas and Applications by Vladimir Uspensky, A.L. Semenov