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{{expert-subject|1=Computer science|date=September 2011}}
{{technical|date=September 2011}}
}}
 
'''UNITY''' is a programming language that was constructed by [[K. Mani Chandy]] and [[Jayadev Misra]] for their book ''Parallel Program Design: A Foundation''. It is a rather theoretical language, which tries to focus on ''what'', instead of ''where'', ''when'' or ''how''. The peculiar thing about the language is that it has no [[flow control (data)|flow control]]. The [[statement (programming)|statement]]s in the program run in a [[random]] order, until none of the statements causes change if run. This allows for programs that run indefinitely (auto-pilot or power plant safety system) as well as programs that would normally terminate (which here converge to a [[Fixed point combinator|fixed point]]).
 
== Description ==
 
All statements are [[assignment (computer science)|assignment]]s, and are separated by <code>#</code>. A statement can consist of multiple assignments, of the form <code>a,b,c := x,y,z</code>, or <code>a := x || b := y || c := z</code>. You can also have a ''quantified statement list'', <code>&lt;# x,y : ''expression'' :: ''statement''&gt;</code>, where x and y are chosen randomly among the values that satisfy ''expression''. A ''quantified assignment'' is similar. In <code><|| x,y : ''expression'' :: ''statement'' &gt;</code>, ''statement'' is executed simultaneously for ''all'' pairs of <code>x</code> and <code>y</code> that satisfy ''expression''.
 
==Examples==
 
===Bubble sort===
 
[[Bubble sort]] the array by comparing adjacent numbers, and swapping them if they are in the wrong order. Using <math>\Theta(n)</math> expected time, <math>\Theta(n)</math> processors and <math>\Theta(n^2)</math> expected work. The reason you only have <math>\Theta(n)</math> ''expected'' time, is that <code>k</code> is always chosen randomly from <math>\{0,1\}</math>. This can be fixed by flipping <code>k</code> manually.
 
Program bubblesort
declare
    n: integer,
    A: array [0..n-1] of integer
initially
    n = 20 #
    <|| i : 0 <= i and i < n :: A[i] = rand() % 100 >
assign
    <# k : 0 <= k < 2 ::
        <|| i : i % 2 = k and 0 <= i < n - 1 ::
            A[i], A[i+1] := A[i+1], A[i]
                if A[i] > A[i+1] > >
end
 
===Rank-sort===
 
You can sort in <math>\Theta(\log n)</math> time with rank-sort. You need <math>\Theta(n^2)</math> processors, and do <math>\Theta(n^2)</math> work.
 
Program ranksort
declare
    n: integer,
    A,R: array [0..n-1] of integer
initially
    n = 15 #
    <|| i : 0 <= i < n ::  
        A[i], R[i] = rand() % 100, i >
assign
    <|| i : 0 <= i < n ::
        R[i] := <+ j : 0 <= j < n and (A[j] < A[i] or (A[j] = A[i] and j < i)) :: 1 > >
    #
    <|| i : 0 <= i < n ::
        A[R[i]] := A[i] >
end
 
===Floyd–Warshall algorithm===
 
Using the [[Floyd–Warshall algorithm]] all pairs [[Shortest path problem|shortest path]] algorithm, we include intermediate nodes iteratively, and get <math>\Theta(n)</math> time, using <math>\Theta(n^2)</math> processors and <math>\Theta(n^3)</math> work.
 
Program shortestpath
declare
    n,k: integer,
    D: array [0..n-1, 0..n-1] of integer
initially
    n = 10 #
    k = 0 #
    <|| i,j : 0 <= i < n and 0 <= j < n ::
        D[i,j] = rand() % 100 >
assign
    <|| i,j : 0 <= i < n and 0 <= j < n ::
        D[i,j] := min(D[i,j], D[i,k] + D[k,j]) > ||
    k := k + 1 if k < n - 1
end
 
We can do this even faster. The following programs computes all pairs shortest path in <math>\Theta(\log^2 n)</math> time, using <math>\Theta(n^3)</math> processors and <math>\Theta(n^3 \log n)</math> work.
 
Program shortestpath2
declare
    n: integer,
    D: array [0..n-1, 0..n-1] of integer
initially
    n = 10 #
    <|| i,j : 0 <= i < n and 0 <= j < n ::
        D[i,j] = rand() % 10 >
assign
    <|| i,j : 0 <= i < n and 0 <= j < n ::
        D[i,j] := min(D[i,j], <min k : 0 <= k < n :: D[i,k] + D[k,j] >) >
end
 
After round <math>r</math>, <code>D[i,j]</code> contains the length of the shortest path from <math>i</math> to <math>j</math> of length <math>0 \dots r</math>. In the next round, of length <math>0 \dots 2r</math>, and so on.
 
==References==
* K. Mani Chandy and Jayadev Misra (1988) ''Parallel Program Design: A Foundation''.
 
[[Category:Experimental programming languages]]

Latest revision as of 03:05, 11 September 2014

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