add another missing benchmark
svn: r5499
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@ -34,6 +34,7 @@
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("reversefile.ss")
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("sieve.ss" "1200")
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("spellcheck.ss")
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("spectralnorm.ss" "5500")
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("strcat.ss" "40000")
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("sumcol.ss" #f ,(lambda () (mk-sumcol-input)))
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("wc.ss")
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62
collects/tests/mzscheme/benchmarks/shootout/spectralnorm.ss
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62
collects/tests/mzscheme/benchmarks/shootout/spectralnorm.ss
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@ -0,0 +1,62 @@
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(module spectralnorm mzscheme
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(require (lib "string.ss"))
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(define (Approximate n)
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(let ([u (make-vector n 1.0)]
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[v (make-vector n 0.0)])
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;; 20 steps of the power method
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(let loop ([i 0])
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(unless (= i 10)
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(MultiplyAtAv n u v)
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(MultiplyAtAv n v u)
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(loop (add1 i))))
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;; B=AtA A multiplied by A transposed
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;; v.Bv /(v.v) eigenvalue of v
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(let loop ([i 0][vBv 0][vv 0])
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(if (= i n)
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(sqrt (/ vBv vv))
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(let ([vi (vector-ref v i)])
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(loop (add1 i)
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(+ vBv (* (vector-ref u i) vi))
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(+ vv (* vi vi))))))))
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;; return element i,j of infinite matrix A
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(define (A i j)
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(/ 1.0 (+ (* (+ i j) (/ (+ i j 1) 2)) i 1)))
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;; multiply vector v by matrix A
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(define (MultiplyAv n v Av)
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(let loop ([i 0])
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(unless (= i n)
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(let jloop ([j 0][r 0])
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(if (= j n)
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(vector-set! Av i r)
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(jloop (add1 j)
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(+ r (* (A i j) (vector-ref v j))))))
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(loop (add1 i)))))
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;; multiply vector v by matrix A transposed
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(define (MultiplyAtv n v Atv)
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(let loop ([i 0])
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(unless (= i n)
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(let jloop ([j 0][r 0])
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(if (= j n)
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(vector-set! Atv i r)
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(jloop (add1 j)
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(+ r (* (A j i) (vector-ref v j))))))
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(loop (add1 i)))))
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;; multiply vector v by matrix A and then by matrix A transposed
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(define (MultiplyAtAv n v AtAv)
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(let ([u (make-vector n 0.0)])
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(MultiplyAv n v u)
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(MultiplyAtv n u AtAv)))
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(printf "~a\n"
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(real->decimal-string
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(Approximate (string->number (vector-ref
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(current-command-line-arguments)
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0)))
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9)))
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