Matrix transposition: Difference between revisions
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( 1.00, 8.00, 27.00, 64.00,125.00), |
( 1.00, 8.00, 27.00, 64.00,125.00), |
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( 1.00, 16.00, 81.00,256.00,625.00)); |
( 1.00, 16.00, 81.00,256.00,625.00)); |
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=={{header|BASIC}}== |
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'''Compiler''': [[QuickBasic]] 4.5 |
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CLS |
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DIM m(1 TO 5, 1 TO 4) 'any dimensions you want |
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'set up the values in the array |
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FOR rows = LBOUND(m, 1) TO UBOUND(m, 1) 'LBOUND and UBOUND can take a dimension as their second argument |
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FOR cols = LBOUND(m, 2) TO UBOUND(m, 2) |
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m(rows, cols) = rows ^ cols 'any formula you want |
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NEXT cols |
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NEXT rows |
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'declare the new matrix |
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DIM trans(LBOUND(m, 2) TO UBOUND(m, 2), LBOUND(m, 1) TO UBOUND(m, 1)) |
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'copy the values |
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FOR rows = LBOUND(m, 1) TO UBOUND(m, 1) |
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FOR cols = LBOUND(m, 2) TO UBOUND(m, 2) |
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trans(cols, rows) = m(rows, cols) |
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NEXT cols |
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NEXT rows |
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'print the new matrix |
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FOR rows = LBOUND(trans, 1) TO UBOUND(trans, 1) |
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FOR cols = LBOUND(trans, 2) TO UBOUND(trans, 2) |
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PRINT trans(rows, cols); |
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NEXT cols |
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PRINT |
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NEXT rows |
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=={{header|Java}}== |
=={{header|Java}}== |
Revision as of 19:33, 7 February 2008
Matrix transposition
You are encouraged to solve this task according to the task description, using any language you may know.
You are encouraged to solve this task according to the task description, using any language you may know.
Transpose an arbitrarily sized rectangular Matrix.
ALGOL 68
main:( [,]REAL m=((1, 1, 1, 1), (2, 4, 8, 16), (3, 9, 27, 81), (4, 16, 64, 256), (5, 25,125, 625)); OP ZIP = ([,]REAL in)[,]REAL:( [2 LWB in:2 UPB in,1 LWB in:1UPB in]REAL out; FOR i FROM LWB in TO UPB in DO out[,i]:=in[i,] OD; out ); PROC pprint = ([,]REAL m)VOID:( FORMAT real fmt = $g(-6,2)$; # width of 6, with no '+' sign, 2 decimals # FORMAT vec fmt = $"("n(2 UPB m-1)(f(real fmt)",")f(real fmt)")"$; FORMAT matrix fmt = $x"("n(UPB m-1)(f(vec fmt)","lxx)f(vec fmt)");"$; # finally print the result # printf((matrix fmt,m)) ); printf(($x"Transpose:"l$)); pprint((ZIP m)) )
Output:
Transpose: (( 1.00, 2.00, 3.00, 4.00, 5.00), ( 1.00, 4.00, 9.00, 16.00, 25.00), ( 1.00, 8.00, 27.00, 64.00,125.00), ( 1.00, 16.00, 81.00,256.00,625.00));
BASIC
Compiler: QuickBasic 4.5
CLS DIM m(1 TO 5, 1 TO 4) 'any dimensions you want 'set up the values in the array FOR rows = LBOUND(m, 1) TO UBOUND(m, 1) 'LBOUND and UBOUND can take a dimension as their second argument FOR cols = LBOUND(m, 2) TO UBOUND(m, 2) m(rows, cols) = rows ^ cols 'any formula you want NEXT cols NEXT rows 'declare the new matrix DIM trans(LBOUND(m, 2) TO UBOUND(m, 2), LBOUND(m, 1) TO UBOUND(m, 1)) 'copy the values FOR rows = LBOUND(m, 1) TO UBOUND(m, 1) FOR cols = LBOUND(m, 2) TO UBOUND(m, 2) trans(cols, rows) = m(rows, cols) NEXT cols NEXT rows 'print the new matrix FOR rows = LBOUND(trans, 1) TO UBOUND(trans, 1) FOR cols = LBOUND(trans, 2) TO UBOUND(trans, 2) PRINT trans(rows, cols); NEXT cols PRINT NEXT rows
Java
import java.util.Arrays; public class Transpose{ public static void main(String[] args){ double[][] m = {{1, 1, 1, 1}, {2, 4, 8, 16}, {3, 9, 27, 81}, {4, 16, 64, 256}, {5, 25, 125, 625}}; double[][] ans = new double[m[0].length][m.length]; for(int rows = 0; rows < m.length; rows++){ for(int cols = 0; cols < m[0].length; cols++){ ans[cols][rows] = m[rows][cols]; } } for(double[] i:ans){//2D arrays are arrays of arrays System.out.println(Arrays.toString(i)); } } }
Python
#!/usr/bin/env python from pprint import pprint m=((1, 1, 1, 1), (2, 4, 8, 16), (3, 9, 27, 81), (4, 16, 64, 256), (5, 25,125, 625)); pprint(zip(*m))
Output:
[(1, 2, 3, 4, 5), (1, 4, 9, 16, 25), (1, 8, 27, 64, 125), (1, 16, 81, 256, 625)]