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| {{Unreferenced|date=December 2009}}
| | Let's look an actual registry scan plus a few of what you'll see whenever we do one on the computer. This test was done on a computer which was not working because it could, operating at slow speed plus having certain issues with freezing up.<br><br>So 1 day my computer suddenly started being weird. I was thus frustrated, because my files were lost, plus I cannot open the files that I needed, plus then, suddenly, everything stopped working!<br><br>Registry cleaning is important considering the registry can get crowded and messy whenever it happens to be left unchecked. False entries send the running program shopping for files plus directories which have lengthy ago been deleted. This takes time and uses precious resources. So, a slowdown inevitably takes place. It is especially noticeable when you multitask.<br><br>Fixing tcpip.sys blue screen is easy to do with registry repair software.Trying to fix windows blue screen error on your own is tricky because in the event you remove or damage the registry it will cause serious damage to your computer. The registry requirements to be cleaned plus all erroneous and incomplete info removed to stop blue screen errors from occurring.The benefit of registry repair software is not limited to simply getting rid of the blue screen on business.You may be amazed at the greater and more improved speed plus performance of your computer program following registry cleaning is completed. Registry cleaning can really develop the computer's functioning abilities, especially when we choose a certain registry repair software that is very efficient.<br><br>Whenever it comes to software, this really is the vital piece because it is the one running a program also as additional programs required in your works. Always maintain the cleanliness of your system from obsolete information by getting a good [http://bestregistrycleanerfix.com/registry-mechanic pc tools registry mechanic]. Protect it from a virus found on the net by providing a workable virus protection system. You should also have a monthly clean up by running a defragmenter system. This means it can enhance the performance of your computer plus for we to avoid any mistakes. If you think something is wrong with all the software, and you don't learn how to fix it then refer to a technician.<br><br>Turn It Off: Chances are when you are like me; then you spend a great deal of time on a computer on a daily basis. Try providing your computer several time to do absolutely nothing; this may sound funny nevertheless should you have an elder computer you are asking it to do too much.<br><br>Another problem with all the damaged version is the fact that it takes too much time to scan the system plus whilst it is scanning, you can not utilize the computer otherwise. Moreover, there is not any technical help to these damaged versions meaning in the event you get stuck someplace, we can't ask for help. They even do not have any customer service aid lines wherein you may call or send to solve a issues.<br><br>What I would recommend is to look on the own for registry products. We can do this with a Google search. Whenever you find goods, look for reports plus testimonials about the product. Then you are able to see how others like the product, and how perfectly it works. |
| In [[computer science]], a '''list''' or '''sequence''' is an [[abstract data type]] that implements a finite ordered collection of [[value (computer science)|values]], where the same value may occur more than once. An instance of a list is a computer representation of the [[mathematics|mathematical]] concept of a finite [[sequence (mathematics)|sequence]]; the (potentially) infinite analog of a list is a [[Stream (type theory)|stream]]. Lists are a basic example of [[Container (abstract data type)|containers]], as they contain other values. Each instance of a value in the list is usually called an '''item''', '''entry''', or '''element''' of the list; if the same value occurs multiple times, each occurrence is considered a distinct item. Lists are distinguished from [[Array data type|arrays]] in that lists only allow sequential access, while arrays allow [[random access]].
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| [[Image:Singly linked list.png|thumb|right|A singly linked list structure, implementing a list with 3 integer elements.]]
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| The name '''list''' is also used for several concrete [[data structures]] that can be used to implement abstract lists, especially [[linked list]]s.
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| The so-called '''static''' list structures allow only inspection and enumeration of the values. A '''[[mutable object|mutable]]''' or '''dynamic''' list may allow items to be inserted, replaced, or deleted during the list's existence.
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| Many [[programming language]]s provide support for '''list data types''', and have special syntax and semantics for lists and list operations. A list can often be constructed by writing the items in sequence, separated by [[comma]]s, [[semicolon]]s, or [[Space (punctuation)|spaces]], within a pair of delimiters such as [[parentheses]] '()', [[brackets]], '[]', [[Braces (punctuation)|braces]] '{}', or [[angle brackets]] '<>'. Some languages may allow list types to be [[Array index|indexed]] or [[array slicing|sliced]] like [[array data type|array type]]s, in which case the data type is more accurately described as an array. In [[object-oriented programming language]]s, lists are usually provided as [[instance (computer science)|instance]]s of subclasses of a generic "list" class, and traversed via separate [[iterator]]s. List data types are often implemented using [[array data structure]]s or linked lists of some sort, but other [[data structures]] may be more appropriate for some applications. In some contexts, such as in [[Lisp programming language|Lisp]] programming, the term list may refer specifically to a linked list rather than an array.
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| In [[type theory]] and [[functional programming]], abstract lists are usually defined [[inductive type|inductively]] by four operations: ''nil'' that yields the empty list, ''cons'', which adds an item at the beginning of a list, ''head'', that returns the first element of a list, and ''tail'' that returns a list minus its first element. Formally, [[Peano numbers|Peano's natural numbers]] can be defined as abstract lists with elements of [[unit type]].
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| ==Operations==
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| Implementation of the list data structure may provide some of the following [[operation (mathematics)|operations]]:
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| * a [[constructor (computer science)|constructor]] for creating an empty list;
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| * an operation for testing whether or not a list is empty;
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| * an operation for prepending an entity to a list
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| * an operation for appending an entity to a list
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| * an operation for determining the first component (or the "head") of a list
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| * an operation for referring to the list consisting of all the components of a list except for its first (this is called the "tail" of the list.)
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| ==Characteristics==
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| Lists have the following properties:
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| *The '''size''' of '''lists'''. It indicates how many elements there are in the list.
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| *'''Equality''' of lists:
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| **In mathematics, sometimes [[equality (mathematics)|equality]] of lists is defined simply in terms of [[Identity (object-oriented programming)|object identity]]: two lists are equal if and only if they are the same object.
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| **In modern [[programming language]]s, equality of lists is normally defined in terms of [[structural equality]] of the corresponding entries, except that if the lists are typed, then the list types may also be relevant.
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| *Lists may be '''typed'''. This implies that the entries in a list must have [[datatype|type]]s that are compatible with the list's type. It is common that lists are typed when they are implemented using arrays.
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| *Each element in the list has an '''index'''. The first element commonly has index 0 or 1 (or some other predefined integer). Subsequent elements have indices that are 1 higher than the previous element. The last element has index <initial index> + <size> − 1.
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| **It is possible to retrieve the element at a particular index.
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| **It is possible to traverse the list in the order of increasing index.
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| **It is possible to change the element at a particular index to a different value, without affecting any other elements.
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| **It is possible to insert an element at a particular index. The indices of higher elements at that are increased by 1.
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| **It is possible to remove an element at a particular index. The indices of higher elements at that are decreased by 1.
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| ==Implementations==
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| Lists are typically implemented either as [[linked list]]s (either singly or doubly linked) or as [[Array data structure|arrays]], usually [[variable length]] or [[dynamic array]]s.
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| The standard way of implementing lists, originating with the programming language [[Lisp (programming language)|Lisp]], is to have each element of the list contain both its value and a pointer indicating the location of the next element in the list. This results in either a [[linked list]] or a [[tree data structure|tree]], depending on whether the list has nested sublists. Some older Lisp implementations (such as the Lisp implementation of the [[Symbolics]] 3600) also supported "compressed lists" (using [[CDR coding]]) which had a special internal representation (invisible to the user). Lists can be manipulated using [[iteration]] or [[recursion]]. The former is often preferred in [[imperative programming|imperative programming languages]], while the latter is the norm in [[functional language]]s.
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| Lists can be implemented as [[self-balancing binary search tree]]s holding index-value pairs, providing equal-time access to any element (e.g. all residing in the fringe, and internal nodes storing the right-most child's index, used to guide the search), taking the time logarithmic in the list's size, but as long as it doesn't change much will provide the illusion of [[random access]] and enable swap, prefix and append operations in logarithmic time as well.
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| ==Programming language support==
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| Some languages do not offer a list [[data structure]], but offer the use of [[associative array]]s or some kind of table to emulate lists. For example, [[Lua programming language|Lua]] provides tables. Although Lua stores lists that have numerical indices as arrays internally, they still appear as hash tables.
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| In [[Lisp programming language|Lisp]], lists are the fundamental data type and can represent both program code and data. In most dialects, the list of the first three prime numbers could be written as <code>(list 2 3 5)</code>. In several dialects of Lisp, including [[Scheme (programming language)|Scheme]], a list is a collection of pairs, consisting of a value and a pointer to the next pair (or null value), making a singly linked list.
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| ==Applications==
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| As the name implies, lists can be used to store a list of records. The items in a list can be sorted for the purpose of fast search ([[binary search]]).
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| Because in computing, lists are easier to realize than sets, a finite [[set (mathematics)|set]] in mathematical sense can be realized as a list with additional restrictions, that is, duplicate elements are disallowed and such that order is irrelevant. If the list is sorted, it speeds up determining if a given item is already in the set but in order to ensure the order, it requires more time to add new entry to the list. In efficient implementations, however, sets are implemented using [[self-balancing binary search tree]]s or [[hash table]]s, rather than a list.
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| ==Abstract definition==
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| The abstract list type ''L'' with elements of some type ''E'' (a [[Type polymorphism|monomorphic]] list) is defined by the following functions:
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| :nil: () → ''L''
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| :cons: ''E'' × ''L'' → ''L''
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| :first: ''L'' → ''E''
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| :rest: ''L'' → ''L''
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| with the axioms
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| :first (cons (''e'', ''l'')) = ''e''
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| :rest (cons (''e'', ''l'')) = ''l''
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| for any element ''e'' and any list ''l''. It is implicit that
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| :cons (''e'', ''l'') ≠ ''l''
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| :cons (''e'', ''l'') ≠ ''e''
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| :cons (''e''<sub>1</sub>, ''l''<sub>1</sub>) = cons (''e''<sub>2</sub>, ''l''<sub>2</sub>) if ''e''<sub>1</sub> = ''e''<sub>2</sub> and ''l''<sub>1</sub> = ''l''<sub>2</sub>
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| Note that first (nil ()) and rest (nil ()) are not defined.
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| These axioms are equivalent to those of the abstract [[Stack (abstract data type)|stack]] data type.
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| In [[type theory]], the above definition is more simply regarded as an [[inductive type]] defined in terms of constructors: ''nil'' and ''cons''. In algebraic terms, this can be represented as the transformation 1 + ''E'' × ''L'' → ''L''. ''first'' and ''rest'' are then obtained by [[pattern matching]] on the ''cons'' constructor and separately handling the ''nil'' case.
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| ===The list monad===
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| The list type forms a [[monad (functional programming)|monad]] with the following functions (using ''E''<sup>*</sup> rather than ''L'' to represent monomorphic lists with elements of type ''E''):
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| :<math>\text{return}\colon A \to A^{*} = a \mapsto \text{cons} \, a \, \text{nil}</math>
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| :<math>\text{bind}\colon A^{*} \to (A \to B^{*}) \to B^{*} = l \mapsto f \mapsto \begin{cases} \text{nil} & \text{if} \ l = \text{nil}\\ \text{append} \, (f \, a) \, (\text{bind} \, l' \, f) & \text{if} \ l = \text{cons} \, a \, l' \end{cases}</math>
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| where ''append'' is defined as:
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| :<math>\text{append}\colon A^{*} \to A^{*} \to A^{*} = l_1 \mapsto l_2 \mapsto \begin{cases} l_2 & \text{if} \ l_1 = \text{nil} \\ \text{cons} \, a \, (\text{append} \, l_1' \, l_2) & \text{if} \ l_1 = \text{cons} \, a \, l_1' \end{cases}</math>
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| Alternatively, the monad may be defined in terms of operations ''return'', ''fmap'' and ''join'', with:
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| :<math>\text{fmap} \colon (A \to B) \to (A^{*} \to B^{*}) = f \mapsto l \mapsto \begin{cases} \text{nil} & \text{if} \ l = \text{nil}\\ \text{cons} \, (f \, a) (\text{fmap} f \, l') & \text{if} \ l = \text{cons} \, a \, l' \end{cases}</math>
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| :<math>\text{join} \colon {A^{*}}^{*} \to A^{*} = l \mapsto \begin{cases} \text{nil} & \text{if} \ l = \text{nil}\\ \text{append} \, a \, (\text{join} \, l') & \text{if} \ l = \text{cons} \, a \, l' \end{cases}</math>
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| Note that ''fmap'', ''join'', ''append'' and ''bind'' are well-defined, since they're applied to progressively deeper arguments at each recursive call.
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| The list type is an additive monad, with ''nil'' as the monadic zero and ''append'' as monadic sum.
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| Lists form a [[monoid]] under the ''append'' operation. The identity element of the monoid is the empty list, ''nil''. In fact, this is the [[free monoid]] over the set of list elements.
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| ==See also==
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| {{Wiktionary|list}}
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| *[[Array (data type)|Array]]
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| *[[Queue (data structure)|Queue]]
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| *[[Set (computer science)|Set]]
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| *[[Stream (type theory)|Stream]]
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| {{Data structures}}
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| {{Data types}}
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| {{DEFAULTSORT:List (Computing)}}
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| [[Category:Data types]]
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| [[Category:Composite data types]]
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| [[Category:Abstract data types]]
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| [[de:Liste (Datenstruktur)]]
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| [[pl:Lista]]
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Let's look an actual registry scan plus a few of what you'll see whenever we do one on the computer. This test was done on a computer which was not working because it could, operating at slow speed plus having certain issues with freezing up.
So 1 day my computer suddenly started being weird. I was thus frustrated, because my files were lost, plus I cannot open the files that I needed, plus then, suddenly, everything stopped working!
Registry cleaning is important considering the registry can get crowded and messy whenever it happens to be left unchecked. False entries send the running program shopping for files plus directories which have lengthy ago been deleted. This takes time and uses precious resources. So, a slowdown inevitably takes place. It is especially noticeable when you multitask.
Fixing tcpip.sys blue screen is easy to do with registry repair software.Trying to fix windows blue screen error on your own is tricky because in the event you remove or damage the registry it will cause serious damage to your computer. The registry requirements to be cleaned plus all erroneous and incomplete info removed to stop blue screen errors from occurring.The benefit of registry repair software is not limited to simply getting rid of the blue screen on business.You may be amazed at the greater and more improved speed plus performance of your computer program following registry cleaning is completed. Registry cleaning can really develop the computer's functioning abilities, especially when we choose a certain registry repair software that is very efficient.
Whenever it comes to software, this really is the vital piece because it is the one running a program also as additional programs required in your works. Always maintain the cleanliness of your system from obsolete information by getting a good pc tools registry mechanic. Protect it from a virus found on the net by providing a workable virus protection system. You should also have a monthly clean up by running a defragmenter system. This means it can enhance the performance of your computer plus for we to avoid any mistakes. If you think something is wrong with all the software, and you don't learn how to fix it then refer to a technician.
Turn It Off: Chances are when you are like me; then you spend a great deal of time on a computer on a daily basis. Try providing your computer several time to do absolutely nothing; this may sound funny nevertheless should you have an elder computer you are asking it to do too much.
Another problem with all the damaged version is the fact that it takes too much time to scan the system plus whilst it is scanning, you can not utilize the computer otherwise. Moreover, there is not any technical help to these damaged versions meaning in the event you get stuck someplace, we can't ask for help. They even do not have any customer service aid lines wherein you may call or send to solve a issues.
What I would recommend is to look on the own for registry products. We can do this with a Google search. Whenever you find goods, look for reports plus testimonials about the product. Then you are able to see how others like the product, and how perfectly it works.