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Wikipedia Algorithmus

Dies ist eine Liste von Artikeln zu Algorithmen in der deutschsprachigen Wikipedia. Siehe auch unter Datenstruktur für eine Liste von Datenstrukturen. Ist das schon Roboter-Journalismus? Der Algorithmus eines Schweden erstellt automatisch zigtausende Wikipedia-Artikel. Das gefällt nicht. Ein Algorithmus ist eine eindeutige Handlungsvorschrift zur Lösung eines Problems oder einer Klasse von Problemen. Algorithmen bestehen aus endlich vielen.

Was ist ein Algorithmus – Definition und Beispiele

ZUM Unterrichten ist das neue Projekt der ZUM e.V. für die interaktive Erstellung von Lerninhalten. Diese Seite findet sich ab sofort unter. Meist hilfreich aber auch nicht immer unbedenklich, kommen Algorithmen immer größere Bedeutung zu. Was ein Algorithmus ist und wie sie. Mit Hilfe eines neuen Tools zur Evaluation von Editierungen in der freien Online-​Enzyklopädie Wikipedia möchte die Wikimedia Foundation.

Wikipedia Algorithmus Inhaltsverzeichnis Video

A* Algorithmus (Erklärung durch Beispiel) (German)

Dabei haben Wikipedia Algorithmus nicht nur die MГglichkeit, ist es nun notwendig. - Account Options

Dabei gilt, dass jeder deterministische Algorithmus determiniert, während aber nicht jeder determinierte Algorithmus deterministisch ist.
Wikipedia Algorithmus Innen eredt a latin „algoritmus” szó, ami aztán szétterjedt a többi európai nyelvben is. A körül írt könyv eredetije eltűnt, a cím teljes latin fordítása a következő: „Liber Algorithmi de numero Indorum” (azaz „Algorithmus könyve az indiai számokról”). In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric method proposed by Thomas Cover used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space. Shor's algorithm is a polynomial-time quantum computer algorithm for integer factorization. Informally, it solves the following problem: Given an integer, find its prime factors. Ein Algorithmus ist eine eindeutige Handlungsvorschrift zur Lösung eines Problems oder einer Klasse von Problemen. Algorithmen bestehen aus endlich vielen, wohldefinierten Einzelschritten. [1] Damit können sie zur Ausführung in ein Computerprogramm implementiert, aber auch in menschlicher Sprache formuliert werden. In mathematics and computer science, an algorithm (/ ˈælɡərɪðəm / (listen)) is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation. Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.
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Wikipedia Algorithmus

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Ein Algorithmus steckt Online Automaten vielen technischen Geräten sowie hinter unserer elektronischen Kommunikation.

Viele heuristische Vorgehensweisen sind selbst exakt definiert und damit Algorithmen. Sie können nicht vollständig als Algorithmus formuliert werden.

Ein Algorithmus ist determiniert , wenn dieser bei jeder Ausführung mit gleichen Startbedingungen und Eingaben gleiche Ergebnisse liefert.

Ein Algorithmus ist deterministisch , wenn zu jedem Zeitpunkt der Algorithmusausführung der nächste Handlungsschritt eindeutig definiert ist.

Wenn an mindestens einer Stelle mehr als eine Möglichkeit besteht ohne Vorgabe, welche zu wählen ist , dann ist der gesamte Algorithmus nichtdeterministisch.

Beispiele für deterministische Algorithmen sind Bubblesort und der euklidische Algorithmus. Dabei gilt, dass jeder deterministische Algorithmus determiniert, während aber nicht jeder determinierte Algorithmus deterministisch ist.

So ist Quicksort mit zufälliger Wahl des Pivotelements ein Beispiel für einen determinierten, aber nicht deterministischen Algorithmus, da sein Ergebnis bei gleicher Eingabe und eindeutiger Sortierung immer dasselbe ist, der Weg dorthin jedoch zufällig erfolgt.

Nichtdeterministische Algorithmen können im Allgemeinen mit keiner realen Maschine auch nicht mit Quantencomputern direkt umgesetzt werden.

Beispiel für einen nichtdeterministischen Algorithmus wäre ein Kochrezept, das mehrere Varianten beschreibt. Es bleibt dem Koch überlassen, welche er durchführen möchte.

Auch das Laufen durch einen Irrgarten lässt an jeder Verzweigung mehrere Möglichkeiten, und neben vielen Sackgassen können mehrere Wege zum Ausgang führen.

Die Beschreibung des Algorithmus besitzt eine endliche Länge, der Quelltext muss also aus einer begrenzten Anzahl von Zeichen bestehen. Ein Algorithmus darf zu jedem Zeitpunkt seiner Ausführung nur begrenzt viel Speicherplatz benötigen.

Ein nicht-terminierender Algorithmus somit zu keinem Ergebnis kommend gerät für manche Eingaben in eine so genannte Endlosschleife.

Für manche Abläufe ist ein nicht-terminierendes Verhalten gewünscht: z. Steuerungssysteme, Betriebssysteme und Programme, die auf Interaktion mit dem Benutzer aufbauen.

Solange der Benutzer keinen Befehl zum Beenden eingibt, laufen diese Programme beabsichtigt endlos weiter. Donald E.

Knuth schlägt in diesem Zusammenhang vor, nicht terminierende Algorithmen als rechnergestützte Methoden Computational Methods zu bezeichnen.

Darüber hinaus ist die Terminierung eines Algorithmus das Halteproblem nicht entscheidbar. From Wikipedia, the free encyclopedia. Computer programming portal.

Retrieved Retrieved 4 November Intel Developer Zone. Number-theoretic algorithms. Binary Euclidean Extended Euclidean Lehmer's.

Elegance compactness versus goodness speed : With only six core instructions, "Elegant" is the clear winner, compared to "Inelegant" at thirteen instructions.

Algorithm analysis [69] indicates why this is the case: "Elegant" does two conditional tests in every subtraction loop, whereas "Inelegant" only does one.

Can the algorithms be improved? The compactness of "Inelegant" can be improved by the elimination of five steps.

But Chaitin proved that compacting an algorithm cannot be automated by a generalized algorithm; [70] rather, it can only be done heuristically ; i.

Observe that steps 4, 5 and 6 are repeated in steps 11, 12 and Comparison with "Elegant" provides a hint that these steps, together with steps 2 and 3, can be eliminated.

This reduces the number of core instructions from thirteen to eight, which makes it "more elegant" than "Elegant", at nine steps.

Now "Elegant" computes the example-numbers faster; whether this is always the case for any given A, B, and R, S would require a detailed analysis.

It is frequently important to know how much of a particular resource such as time or storage is theoretically required for a given algorithm.

Methods have been developed for the analysis of algorithms to obtain such quantitative answers estimates ; for example, the sorting algorithm above has a time requirement of O n , using the big O notation with n as the length of the list.

At all times the algorithm only needs to remember two values: the largest number found so far, and its current position in the input list.

Therefore, it is said to have a space requirement of O 1 , if the space required to store the input numbers is not counted, or O n if it is counted.

Different algorithms may complete the same task with a different set of instructions in less or more time, space, or ' effort ' than others.

For example, a binary search algorithm with cost O log n outperforms a sequential search cost O n when used for table lookups on sorted lists or arrays.

The analysis, and study of algorithms is a discipline of computer science , and is often practiced abstractly without the use of a specific programming language or implementation.

In this sense, algorithm analysis resembles other mathematical disciplines in that it focuses on the underlying properties of the algorithm and not on the specifics of any particular implementation.

Usually pseudocode is used for analysis as it is the simplest and most general representation. For the solution of a "one off" problem, the efficiency of a particular algorithm may not have significant consequences unless n is extremely large but for algorithms designed for fast interactive, commercial or long life scientific usage it may be critical.

Scaling from small n to large n frequently exposes inefficient algorithms that are otherwise benign. Empirical testing is useful because it may uncover unexpected interactions that affect performance.

Empirical tests cannot replace formal analysis, though, and are not trivial to perform in a fair manner.

To illustrate the potential improvements possible even in well-established algorithms, a recent significant innovation, relating to FFT algorithms used heavily in the field of image processing , can decrease processing time up to 1, times for applications like medical imaging.

Another way of classifying algorithms is by their design methodology or paradigm. There is a certain number of paradigms, each different from the other.

Furthermore, each of these categories includes many different types of algorithms. Some common paradigms are:. For optimization problems there is a more specific classification of algorithms; an algorithm for such problems may fall into one or more of the general categories described above as well as into one of the following:.

Every field of science has its own problems and needs efficient algorithms. Related problems in one field are often studied together.

Some example classes are search algorithms , sorting algorithms , merge algorithms , numerical algorithms , graph algorithms , string algorithms , computational geometric algorithms , combinatorial algorithms , medical algorithms , machine learning , cryptography , data compression algorithms and parsing techniques.

Fields tend to overlap with each other, and algorithm advances in one field may improve those of other, sometimes completely unrelated, fields.

For example, dynamic programming was invented for optimization of resource consumption in industry but is now used in solving a broad range of problems in many fields.

Algorithms can be classified by the amount of time they need to complete compared to their input size:. Some problems may have multiple algorithms of differing complexity, while other problems might have no algorithms or no known efficient algorithms.

There are also mappings from some problems to other problems. Owing to this, it was found to be more suitable to classify the problems themselves instead of the algorithms into equivalence classes based on the complexity of the best possible algorithms for them.

Algorithms, by themselves, are not usually patentable. In the United States, a claim consisting solely of simple manipulations of abstract concepts, numbers, or signals does not constitute "processes" USPTO , and hence algorithms are not patentable as in Gottschalk v.

However practical applications of algorithms are sometimes patentable. For example, in Diamond v. Diehr , the application of a simple feedback algorithm to aid in the curing of synthetic rubber was deemed patentable.

The patenting of software is highly controversial, and there are highly criticized patents involving algorithms, especially data compression algorithms, such as Unisys ' LZW patent.

Additionally, some cryptographic algorithms have export restrictions see export of cryptography. The earliest evidence of algorithms is found in the Babylonian mathematics of ancient Mesopotamia modern Iraq.

A Sumerian clay tablet found in Shuruppak near Baghdad and dated to circa BC described the earliest division algorithm.

Babylonian clay tablets describe and employ algorithmic procedures to compute the time and place of significant astronomical events.

Algorithms for arithmetic are also found in ancient Egyptian mathematics , dating back to the Rhind Mathematical Papyrus circa BC.

Two examples are the Sieve of Eratosthenes , which was described in the Introduction to Arithmetic by Nicomachus , [82] [12] : Ch 9. Tally-marks: To keep track of their flocks, their sacks of grain and their money the ancients used tallying: accumulating stones or marks scratched on sticks or making discrete symbols in clay.

Through the Babylonian and Egyptian use of marks and symbols, eventually Roman numerals and the abacus evolved Dilson, p.

Tally marks appear prominently in unary numeral system arithmetic used in Turing machine and Post—Turing machine computations. In Europe, the word "algorithm" was originally used to refer to the sets of rules and techniques used by Al-Khwarizmi to solve algebraic equations, before later being generalized to refer to any set of rules or techniques.

A good century and a half ahead of his time, Leibniz proposed an algebra of logic, an algebra that would specify the rules for manipulating logical concepts in the manner that ordinary algebra specifies the rules for manipulating numbers.

The first cryptographic algorithm for deciphering encrypted code was developed by Al-Kindi , a 9th-century Arab mathematician , in A Manuscript On Deciphering Cryptographic Messages.

He gave the first description of cryptanalysis by frequency analysis , the earliest codebreaking algorithm.

The clock : Bolter credits the invention of the weight-driven clock as "The key invention [of Europe in the Middle Ages]", in particular, the verge escapement [85] that provides us with the tick and tock of a mechanical clock.

Logical machines — Stanley Jevons ' "logical abacus" and "logical machine" : The technical problem was to reduce Boolean equations when presented in a form similar to what is now known as Karnaugh maps.

Jevons describes first a simple "abacus" of "slips of wood furnished with pins, contrived so that any part or class of the [logical] combinations can be picked out mechanically More recently, however, I have reduced the system to a completely mechanical form, and have thus embodied the whole of the indirect process of inference in what may be called a Logical Machine " His machine came equipped with "certain moveable wooden rods" and "at the foot are 21 keys like those of a piano [etc] With this machine he could analyze a " syllogism or any other simple logical argument".

This machine he displayed in before the Fellows of the Royal Society. But not to be outdone he too presented "a plan somewhat analogous, I apprehend, to Prof.

Jevon's abacus Jevons's logical machine, the following contrivance may be described. I prefer to call it merely a logical-diagram machine Jacquard loom, Hollerith punch cards, telegraphy and telephony — the electromechanical relay : Bell and Newell indicate that the Jacquard loom , precursor to Hollerith cards punch cards, , and "telephone switching technologies" were the roots of a tree leading to the development of the first computers.

By the late 19th century the ticker tape ca s was in use, as was the use of Hollerith cards in the U.

Then came the teleprinter ca. Telephone-switching networks of electromechanical relays invented was behind the work of George Stibitz , the inventor of the digital adding device.

As he worked in Bell Laboratories, he observed the "burdensome' use of mechanical calculators with gears. When the tinkering was over, Stibitz had constructed a binary adding device".

Davis observes the particular importance of the electromechanical relay with its two "binary states" open and closed :.

Symbols and rules : In rapid succession, the mathematics of George Boole , , Gottlob Frege , and Giuseppe Peano — reduced arithmetic to a sequence of symbols manipulated by rules.

Peano's The principles of arithmetic, presented by a new method was "the first attempt at an axiomatization of mathematics in a symbolic language ".

But Heijenoort gives Frege this kudos: Frege's is "perhaps the most important single work ever written in logic.

The paradoxes : At the same time a number of disturbing paradoxes appeared in the literature, in particular, the Burali-Forti paradox , the Russell paradox —03 , and the Richard Paradox.

Effective calculability : In an effort to solve the Entscheidungsproblem defined precisely by Hilbert in , mathematicians first set about to define what was meant by an "effective method" or "effective calculation" or "effective calculability" i.

Gödel's Princeton lectures of and subsequent simplifications by Kleene. Barkley Rosser 's definition of "effective method" in terms of "a machine".

Kleene 's proposal of a precursor to " Church thesis " that he called "Thesis I", [] and a few years later Kleene's renaming his Thesis "Church's Thesis" [] and proposing "Turing's Thesis".

Emil Post described the actions of a "computer" human being as follows:. Alan Turing 's work [] preceded that of Stibitz ; it is unknown whether Stibitz knew of the work of Turing.

Turing's biographer believed that Turing's use of a typewriter-like model derived from a youthful interest: "Alan had dreamt of inventing typewriters as a boy; Mrs.

Turing had a typewriter, and he could well have begun by asking himself what was meant by calling a typewriter 'mechanical'". Turing—his model of computation is now called a Turing machine —begins, as did Post, with an analysis of a human computer that he whittles down to a simple set of basic motions and "states of mind".

But he continues a step further and creates a machine as a model of computation of numbers. The most general single operation must, therefore, be taken to be one of the following:.

A few years later, Turing expanded his analysis thesis, definition with this forceful expression of it:. Barkley Rosser defined an 'effective [mathematical] method' in the following manner italicization added :.

Rosser's footnote No. Stephen C. Kleene defined as his now-famous "Thesis I" known as the Church—Turing thesis. But he did this in the following context boldface in original :.

A number of efforts have been directed toward further refinement of the definition of "algorithm", and activity is on-going because of issues surrounding, in particular, foundations of mathematics especially the Church—Turing thesis and philosophy of mind especially arguments about artificial intelligence.

For more, see Algorithm characterizations. From Wikipedia, the free encyclopedia. For other uses, see Algorithm disambiguation.

Unambiguous specification of how to solve a class of problems. For a detailed presentation of the various points of view on the definition of "algorithm", see Algorithm characterizations.

It has been suggested that this article be split into a new article titled Algorithm design. Discuss March Further information: List of algorithms.

Output: The largest number in the list L. Further information: Euclid's algorithm. Main article: Analysis of algorithms. Main articles: Empirical algorithmics , Profiling computer programming , and Program optimization.

One of them is called A, the other is called B. There is a third stack that is empty at the start, called C. At the end, it will contain the result.

John von Neumann developed this algorithm in He did not call it Sorting by numbers , he called it Mergesort. It is a very good algorithm for sorting, compared to others.

The first algorithm takes much longer to sort the cards than the second, but it can be improved made better. Looking at bubble sort, it can be noticed that cards with high numbers move from the top of the stack quite quickly, but cards with low numbers at the bottom of the stack take a long time to rise move to the top.

To improve the first algorithm here is the idea:. This algorithm was developed by C. Hoare in It is one of most widely used algorithms for sorting today.

It is called Quicksort. If players have cards with colors and numbers on them, they can sort them by color and number if they do the "sorting by colors" algorithm, then do the "sorting by numbers" algorithm to each colored stack, then put the stacks together.

Jones, and Albert J. From this follows a simple algorithm, which can be stated in a high-level description in English prose, as:. They proved that it is not in fact any faster than performing a Supercoppa partial search. The binary GCD algorithm is an efficient alternative that substitutes division with faster operations by exploiting the binary representation used by computers. Now "Elegant" computes the example-numbers faster; whether this is always the case for any given A, B, and R, S would require a detailed analysis. Includes bibliography of 33 sources. Ansichten Lesen Quelltext anzeigen Versionsgeschichte. Bellah, Robert Neelly Werder Mainz Live Stream Algorithms, by themselves, are not usually patentable. For example, a binary search algorithm with cost O log n outperforms a sequential search cost O n when used for table lookups on sorted lists or arrays. Methods for extracting roots are not trivial: see Methods of computing square roots. Algorithmen sind eines der zentralen Themen der Informatik und Mathematik. Namensräume Artikel Diskussion. Dabei entstanden die Peano-Axiome. Rogers, Jr, Hartley Reduce by the same number. Switzerland: Springer. This is the most common conception—one which attempts to describe a task in discrete, "mechanical" means. Iand his more-detailed analyses on pp. Ein Algorithmus ist eine eindeutige Handlungsvorschrift zur Lösung eines Problems oder einer Klasse von Problemen. Algorithmen bestehen aus endlich vielen. Dies ist eine Liste von Artikeln zu Algorithmen in der deutschsprachigen Wikipedia. Siehe auch unter Datenstruktur für eine Liste von Datenstrukturen. [1] Wikipedia-Artikel „Algorithmus“: [1] Duden online „Algorithmus“: [1] Digitales Wörterbuch der deutschen Sprache „Algorithmus“: [*] Uni Leipzig: Wortschatz-. ZUM Unterrichten ist das neue Projekt der ZUM e.V. für die interaktive Erstellung von Lerninhalten. Diese Seite findet sich ab sofort unter.
Wikipedia Algorithmus
Wikipedia Algorithmus

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