joho12.ppt
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2 n φ 1 (x),φ 2 (x),,φ n (x) (x i, f i ) Q n c 1,,c n (,f k ) q n = c i φ i (x) x Q n i=1 c 1 = 0 c 1 n ( c 1 ) = q n f k 2
3 Q n ( c 1 ) = q 2 2 n ( ) 2 f k q n ( ) + f k Q n c 1 = c 1 q n 2 q n( ) q n q 2 f n k c i c i q n( ) = 2q n q n c i c i q 2 f n k c i c i q = f n,,c n k c i φ 2 1 ( ) φ 1 ( )φ 2 ( ) φ 1 ( )φ n x k φ 2 ( )φ 1 ( ) φ 2 2 ( ) φ 2 ( )φ n x k φ n ( )φ 1 ( ) φ n ( )φ 2 ( ) φ 2 n ( ) = φ i c 1 c 2 = c n f k φ 1 f k φ 2 f k φ n
4 x n q n = c i φ i (x) x n 1 x k x k 2 n x k x k x k n = x i 1 (i =1,2,, ) i=1 c 1 c 2 = n 1 n 2(n 1) x k x k c n n 1 f k x k Gauss-Jordan c 1,,c n f k f k
5 n 1 n x k c n n 1 f k x k (-2, -3), (-1, 2), (0, 1) n 1 x k x k c 1 2 n x k x k x k c 2 = 2(n 1) n 1 3 x k x k n 1 2(n 1) x k x k Gauss-Jordan c 1 =1, c 2 =-4, c 3 =-3 c 1 c 2 c 3 f k f k = ( 2) ( 0) 2 0 = 4 10
6 12-2.c floating XY 4 fitting /* average error, standard deviation */ /* */ #include <stdio.h> #include <ath.h> #define N 5 /* 5x5 atrix*/ #define MAX /* data ax size */ stdio.h Sqrt ath.h include Fitting N 5 x MAX MAX a[][] N d[2][] XY int ain(void){ double a[n][n+1]; double d[2][max]; double p, dd, f=0.0, err=0.0, ave_err, std_err1, std_err2; int i=0, j, k, ; i, j, k, /* ctrl + d EOF */ while ( (scanf("%lf %lf", &d[0][i], &d[1][i]))!= EOF ){i++; scanf EOF (End Of File) d[0][i], d[1][i] EOF while loop
7 12-2.c /* ake aterix */ = i ; /* nuber of data set, nubering fro 1 */ /* siga x */ for (i=0; i<n; i++){ for (j=0; j<n; j++){ for (k=0; k<; k++){ /* calculate atrix eleent */ a[i][j] += pow(d[0][k], ((i+j)*1.0)); a[0][0] = *1.0; /* cast to double */ for (i=0; i<n; i++){ for (k=0; k<; k++){ /* calculate RHS eleent */ a[i][n] += d[1][k] * pow(d[0][k], i*1.0); loop i Loop 0 =i pow(a, b) a b (i+j)*1.0 double a[i][j] Σ i+j k *1.0 int double a[][] Cast (double) AX=B A B Gauss-Jordan
8 12-2.c /* ---- Gauss-Jordan ethod ---- */ for (k=0; k<n; k++){ p = a[k][k]; for (j=k; j<n+1; j++){ a[k][j]=a[k][j]/p; for (i=0; i<n; i++){ if (i!=k){ dd = a[i][k]; for (j=k; j<n+1; j++){ a[i][j]=a[i][j]-dd*a[k][j]; /* substract pivot gyou by p */ /* pivot sweep out */ Gauss-Jordan 11-1
9 12-2.c /* calculate average error and std error */ for (k=0; k<; k++){ f = 0.0; /* evaluate fitting function */ Fitting for (i=0; i<n; i++){ a[][] f += a[i][n]* pow(d[0][k], i*1.0); Fitting su su err += d[1][k] - f; /* su error */ std_err2 += (f - d[1][k])*(f - d[1][k]); /* su error square */ ave_err = err/; /* evaluate average error */ std_err1 = sqrt( std_err2/ ); /* evaluate std error */ /* ---- out put solution ---- */ for (k=0; k<n; k++){ printf("c%d= %lf n", k, a[k][n]); printf("ave_error= %g t nstd_error= %g n", ave_err, std_err1); return (0);
10 xy01.txt fitting 1. Excel xy01.txt 2. fitting./12-2 < xy01.txt 3. fitting Excel y = c0 + c1*x +c2*x*x + c3*x*x*x + c4*x*x*x*x f(x) Least square ethod: data fitting xy01.txt xy01.txt data fitting line x fitting paraeter: c0= , c1= , c2= , c3= , c4= ave_err= e-15 std_err=
11 soothing Y Data (+noise) intrinsic data X
12 12-3.c N /* Idou Heikin */ #include <stdio.h> #include <ath.h> #define N 5 /* heikin ryou */ #define MAX /* data ax size */ int ain(void){ double d[2][max]; double ave; int i, j, ; /* ctrl + d EOF */ while ( (scanf("%lf %lf", &d[0][i], &d[1][i]))!= EOF ){i++; =i; /* nuber of data set, nubering fro 1 */ for (i=(n-1); i<; i++){ ave = 0.0; for (j=0; j<n; j++){ ave += d[1][j+i-n+1]; ave = ave/n; printf("%lf %lf n", d[0][i], ave); return (0);
13 xy02.txt soothing./12-3 < xy02.txt > xy02s.txt xy02s.txt original sooth 5 Sooth 10 xy02.txt Y x
14 C Unix script
15 12-2 fitting 12-3 soothing fitting A (tp.dat) 12-2./12-3 < xy02.txt > tp.dat./12-2 < tp.dat B. tp.dat./12-3 < xy02.txt./ /12-3 < xy02.txt -./12-3./12-2 UNIX
16 UNIX shell MS-DOS DOS-shell UNIX shell shell Bourne shell, C shell, Korn shell shell OSX tiger Bourne shell bash bash shell shell script
17 Mac CR UNIX LF UNIX script LF ac2unix.sh LF(UNIX) #!/bin/sh # CR => LF (Mac => Unix) # Usage:./ac2unix.sh src.txt > dest.txt tr ' r' ' n' < $1 chod u+x ac2unix.sh unix2ac.sh LF #!/bin/sh # LF => CR (Unix => Mac) # Usage:./unix2ac src.txt > dest.txt tr ' n' ' r' < $1 \
18 ac2unix.sh unix2ac.sh ac2unix.sh [ ] > [ ] Mac (CR) -> UNIX (LF) unix2ac.sh path $HOME/joho-shori/ac2unix.sh
19 .zip nuber 0.jpeg 9.jpeg A. nuber ls 0.jpeg 3.jpeg 6.jpeg 9.jpeg 1.jpeg 4.jpeg 7.jpeg 2.jpeg 5.jpeg 8.jpeg.jpeg for fnae in *.jpeg > do jpeg > v $fnae ${fnae%.jpeg.jpg > done ls 0.jpg 1.jpg 2.jpg 3.jpg 4.jpg 5.jpg 6.jpg 7.jpg 8.jpg 9.jpg
20 jpg jpeg B. shell script i ren.sh UNIX LF #!/bin/bash for fnae in `ls *.jpeg` do v $fnae ${fnae%.jpeg.jpg done chod u+x ren.sh ls -l ren.sh -rwxr--r-- 1 okubo okubo :26 ren.sh nuber./ren.sh ls 0.jpg 1.jpg 2.jpg 3.jpg 4.jpg 5.jpg 6.jpg 7.jpg 8.jpg 9.jpg
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005 9 7 1 1.1 1 Hello World!! 5 p r i n t f ( H e l l o World!! \ n ) ; 7 return 0 ; 8 } 1: 1 [ ] Hello World!! from Akita National College of Technology. 1 : 5 p r i n t f ( H e l l o World!! \ n ) ;
: CR (0x0d) LF (0x0a) line separator CR Mac LF UNIX CR+LF MS-DOS WINDOWS Japan Advanced Institute of Science and Technology
I117 8 1 School of Information Science, Japan Advanced Institute of Science and Technology : CR (0x0d) LF (0x0a) line separator CR Mac LF UNIX CR+LF MS-DOS WINDOWS Japan Advanced Institute of Science and
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/* do-while */ #include <stdio.h> #include <math.h> int main(void) double val1, val2, arith_mean, geo_mean; printf( \n ); do printf( ); scanf( %lf, &v
1 http://www7.bpe.es.osaka-u.ac.jp/~kota/classes/jse.html [email protected] /* do-while */ #include #include int main(void) double val1, val2, arith_mean, geo_mean; printf( \n );
1 C STL(1) C C C libc C C C++ STL(Standard Template Library ) libc libc C++ C STL libc STL iostream Algorithm libc STL string vector l
C/C++ 2007 6 18 1 C STL(1) 2 1.1............................................... 2 1.2 stdio................................................ 3 1.3.......................................... 10 2 11 2.1 sizeof......................................
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#define N1 N+1 double x[n1] =.5, 1., 2.; double hokan[n1] = 1.65, 2.72, 7.39 ; double xx[]=.2,.4,.6,.8,1.2,1.4,1.6,1.8; double lagrng(double xx); main
=1= (.5, 1.65), (1., 2.72), (2., 7.39).2,.4,.6,.8, 1., 1.2, 1.4, 1.6 1 1: x.2 1.4128.4 1.5372.6 1.796533.8 2.198 1.2 3.384133 1.4 4.1832 1.6 5.1172 8 7 6 5 y 4 3 2 1.5 1 1.5 2 x 1: /* */ #include
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I, A 25 8 24 1 1.1 ( 3 ) 3 9 10 3 9 : (1,2,6), (1,3,5), (1,4,4), (2,2,5), (2,3,4), (3,3,3) 10 : (1,3,6), (1,4,5), (2,2,6), (2,3,5), (2,4,4), (3,3,4) 6 3 9 10 3 9 : 6 3 + 3 2 + 1 = 25 25 10 : 6 3 + 3 3
数値計算法
12.1 電気回路網に関するキルヒホッフの法則による解法 1 工学的諸問題を多元連立 1 次方程式で表現することができる. 例えば, 荷物を最短の時間と最低のコストで輸送するためにはどのようなルートで物流を行うか という問題, 工場の部品の在庫の状況からいかに最小のコストで製品をつくるか という問題, 機械要素の運動の問題, 電気回路の解析の問題など, いくつか挙げられる. つまり, 計算機で多元連立方程式を解くことができれば,
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Microsoft Word - C.....u.K...doc
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