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wangfiox 2024-08-16 12:37:09 +08:00
parent 8114ffaf1f
commit ea4d6425d2
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wa/expect/output/h-3-01.out Normal file
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//#include "sylib.h"
int m = 800;
int n = 800;
int data[800][800];
int corr[800][800];
int mean[800];
int stddev[800];
void kernel_correlation(int m, int n,
int data[][800],
int corr[][800],
int mean[],
int stddev[])
{
int i, j, k;
j = 0;
while (j < m) {
mean[j] = 0;
i = 0;
while (i < n) {
mean[j] =mean[j]+ data[i][j];
i = i +1;
}
mean[j] = mean[j] / n;
j = j + 1;
}
j = 0;
while(j < m) {
stddev[j] = 0;
i= 0;
while(i < n) {
stddev[j] =stddev[j]+ (data[i][j] - mean[j]) * (data[i][j] - mean[j]);
i = i +1;
}
stddev[j] = stddev[j] / n;
stddev[j] = stddev[j] * stddev[j];
if (stddev[j] <= 1) {
stddev[j] = 1;
}
j = j + 1;
}
i =0;
while (i < n) {
j = 0;
while (j < m)
{
data[i][j] = data[i][j] - mean[j];
data[i][j] = data[i][j] / (n * n * stddev[j]);
j = j + 1;
}
i = i +1;
}
i = 0;
while (i < m-1)
{
corr[i][i] = 1;
j = i +1;
while (j < m)
{
corr[i][j] = 0;
k =0;
while (k < n) {
corr[i][j] = corr[i][j] + (data[k][i] * data[k][j]);
k = k +1;
}
corr[j][i] = corr[i][j];
j = j +1;
}
i = i +1;
}
corr[m-1][m-1] = 1;
}
int main()
{
getarray(data);
starttime();
kernel_correlation (m, n, data, corr, mean, stddev);
stoptime();
putarray(m*m, corr);
return 0;
}

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//#include "sylib.h"
int m = 800;
int n = 800;
int data[800][800];
int corr[800][800];
int mean[800];
int stddev[800];
void kernel_correlation(int m, int n,
int data[][800],
int corr[][800],
int mean[],
int stddev[])
{
int i, j, k;
j = 0;
while (j < m) {
mean[j] = 0;
i = 0;
while (i < n) {
mean[j] =mean[j]+ data[i][j];
i = i +1;
}
mean[j] = mean[j] / n;
j = j + 1;
}
j = 0;
while(j < m) {
stddev[j] = 0;
i= 0;
while(i < n) {
stddev[j] =stddev[j] + (data[i][j] - mean[j]) * (data[i][j] - mean[j]);
i = i +1;
}
stddev[j] = stddev[j] / n;
stddev[j] = stddev[j] * stddev[j];
if (stddev[j] <= 1) {
stddev[j] = 1;
}
j = j + 1;
}
i =0;
while (i < n) {
j = 0;
while (j < m)
{
data[i][j] = data[i][j] - mean[j];
data[i][j] = data[i][j] / (n * n * stddev[j]);
j = j + 1;
}
i = i +1;
}
i = 0;
while (i < m-1)
{
corr[i][i] = 1;
j = i +1;
while (j < m)
{
corr[i][j] = 0;
k =0;
while (k < n) {
corr[i][j] = corr[i][j] + (data[k][i] * data[k][j]);
k = k +1;
}
corr[j][i] = corr[i][j];
j = j +1;
}
i = i +1;
}
corr[m-1][m-1] = 1;
}
int main()
{
getarray(data);
starttime();
kernel_correlation (m, n, data, corr, mean, stddev);
stoptime();
putarray(m*m, corr);
return 0;
}

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//#include "sylib.h"
int m = 800;
int n = 800;
int data[800][800];
int corr[800][800];
int mean[800];
int stddev[800];
void kernel_correlation(int m, int n,
int data[][800],
int corr[][800],
int mean[],
int stddev[])
{
int i, j, k;
j = 0;
while (j < m) {
mean[j] = 0;
i = 0;
while (i < n) {
mean[j] =mean[j] + data[i][j];
i = i +1;
}
mean[j] = mean[j] / n;
j = j + 1;
}
j = 0;
while(j < m) {
stddev[j] = 0;
i= 0;
while(i < n) {
stddev[j] =stddev[j] + (data[i][j] - mean[j]) * (data[i][j] - mean[j]);
i = i +1;
}
stddev[j] = stddev[j] / n;
stddev[j] = stddev[j] * stddev[j];
if (stddev[j] <= 1) {
stddev[j] = 1;
}
j = j + 1;
}
i =0;
while (i < n) {
j = 0;
while (j < m)
{
data[i][j] = data[i][j] - mean[j];
data[i][j] = data[i][j] / (n * n * stddev[j]);
j = j + 1;
}
i = i +1;
}
i = 0;
while (i < m-1)
{
corr[i][i] = 1;
j = i +1;
while (j < m)
{
corr[i][j] = 0;
k =0;
while (k < n) {
corr[i][j] = corr[i][j] + (data[k][i] * data[k][j]);
k = k +1;
}
corr[j][i] = corr[i][j];
j = j +1;
}
i = i +1;
}
corr[m-1][m-1] = 1;
}
int main()
{
getarray(data);
starttime();
kernel_correlation (m, n, data, corr, mean, stddev);
stoptime();
putarray(m*m, corr);
return 0;
}

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float i_buf[10000000];
float o_buf[10000000];
float newtons_sqrt(float n) {
const float prec = 0.0000000001;
if (n <= 0) {
return 0;
}
float x = n;
float r = (n + 1) * 0.5;
float d;
if (x < r) {
d = r - x;
} else {
d = x - r;
}
while (d > prec) {
r = (x + n / x) * 0.5;
if (x < r) {
d = r - x;
} else {
d = x - r;
}
x = r;
}
return r;
}
int main() {
int n = getfarray(i_buf);
starttime();
int i = 0;
while (i < n) {
o_buf[i] = newtons_sqrt(i_buf[i]);
i = i + 1;
}
stoptime();
putfarray(n, o_buf);
return 0;
}