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[MATH-1059] Replace Math with FastMath. 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1540166 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Thomas Neidhart 2013-11-08 19:56:28 +00:00
parent e4c6bb0b27
commit f2a833757b
1 changed files with 60 additions and 60 deletions
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120
src/test/java/org/apache/commons/math3/stat/regression/MillerUpdatingRegressionTest.java
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@ -67,10 +67,10 @@ public class MillerUpdatingRegressionTest {
double[] y = new double[airdata[0].length];
for (int i = 0; i < airdata[0].length; i++) {
xAll[i] = new double[3];
xAll[i][0] = Math.log(airdata[3][i]);
xAll[i][1] = Math.log(airdata[4][i]);
xAll[i][0] = FastMath.log(airdata[3][i]);
xAll[i][1] = FastMath.log(airdata[4][i]);
xAll[i][2] = airdata[5][i];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(xAll, y);
if (instance.getN() != xAll.length) {
@ -169,10 +169,10 @@ public class MillerUpdatingRegressionTest {
for (int i = 0; i < airdata[0].length; i++) {
x[i] = new double[4];
x[i][0] = 1.0;
x[i][1] = Math.log(airdata[3][i]);
x[i][2] = Math.log(airdata[4][i]);
x[i][1] = FastMath.log(airdata[3][i]);
x[i][2] = FastMath.log(airdata[4][i]);
x[i][3] = airdata[5][i];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);
@ -201,10 +201,10 @@ public class MillerUpdatingRegressionTest {
double[] y = new double[airdata[0].length];
for (int i = 0; i < airdata[0].length; i++) {
x[i] = new double[3];
x[i][0] = Math.log(airdata[3][i]);
x[i][1] = Math.log(airdata[4][i]);
x[i][0] = FastMath.log(airdata[3][i]);
x[i][1] = FastMath.log(airdata[4][i]);
x[i][2] = airdata[5][i];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);
@ -722,10 +722,10 @@ public class MillerUpdatingRegressionTest {
// for (int i = 0; i < airdata[0].length; i++) {
// x[i] = new double[4];
// x[i][0] = 1.0;
// x[i][1] = Math.log(airdata[3][i]);
// x[i][2] = Math.log(airdata[4][i]);
// x[i][1] = FastMath.log(airdata[3][i]);
// x[i][2] = FastMath.log(airdata[4][i]);
// x[i][3] = airdata[5][i];
// y[i] = Math.log(airdata[2][i]);
// y[i] = FastMath.log(airdata[2][i]);
// }
//
// instance.addObservations(x, y);
@ -739,16 +739,16 @@ public class MillerUpdatingRegressionTest {
//
// double[] beta = result.getParameterEstimates();
// double[] betar = resultInverse.getParameterEstimates();
// if (Math.abs(beta[0] - betar[0]) > 1.0e-14) {
// if (FastMath.abs(beta[0] - betar[0]) > 1.0e-14) {
// Assert.fail("Parameters not correct after reorder (0,3)");
// }
// if (Math.abs(beta[1] - betar[1]) > 1.0e-14) {
// if (FastMath.abs(beta[1] - betar[1]) > 1.0e-14) {
// Assert.fail("Parameters not correct after reorder (1,2)");
// }
// if (Math.abs(beta[2] - betar[2]) > 1.0e-14) {
// if (FastMath.abs(beta[2] - betar[2]) > 1.0e-14) {
// Assert.fail("Parameters not correct after reorder (2,1)");
// }
// if (Math.abs(beta[3] - betar[3]) > 1.0e-14) {
// if (FastMath.abs(beta[3] - betar[3]) > 1.0e-14) {
// Assert.fail("Parameters not correct after reorder (3,0)");
// }
// }
@ -764,8 +764,8 @@ public class MillerUpdatingRegressionTest {
x[i] = new double[4];
x2[i] = new double[5];
x[i][0] = 1.0;
x[i][1] = Math.log(airdata[3][i]);
x[i][2] = Math.log(airdata[4][i]);
x[i][1] = FastMath.log(airdata[3][i]);
x[i][2] = FastMath.log(airdata[4][i]);
x[i][3] = airdata[5][i];
x2[i][0] = x[i][0];
@ -774,7 +774,7 @@ public class MillerUpdatingRegressionTest {
x2[i][3] = x[i][3];
x2[i][4] = x[i][3];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);
@ -790,14 +790,14 @@ public class MillerUpdatingRegressionTest {
double[] ser = resultRedundant.getStdErrorOfEstimates();
for (int i = 0; i < beta.length; i++) {
if (Math.abs(beta[i] - betar[i]) > 1.0e-8) {
if (FastMath.abs(beta[i] - betar[i]) > 1.0e-8) {
Assert.fail("Parameters not correctly estimated");
}
if (Math.abs(se[i] - ser[i]) > 1.0e-8) {
if (FastMath.abs(se[i] - ser[i]) > 1.0e-8) {
Assert.fail("Standard errors not correctly estimated");
}
for (int j = 0; j < i; j++) {
if (Math.abs(result.getCovarianceOfParameters(i, j)
if (FastMath.abs(result.getCovarianceOfParameters(i, j)
- resultRedundant.getCovarianceOfParameters(i, j)) > 1.0e-8) {
Assert.fail("Variance Covariance not correct");
}
@ -824,8 +824,8 @@ public class MillerUpdatingRegressionTest {
x[i] = new double[4];
x2[i] = new double[7];
x[i][0] = 1.0;
x[i][1] = Math.log(airdata[3][i]);
x[i][2] = Math.log(airdata[4][i]);
x[i][1] = FastMath.log(airdata[3][i]);
x[i][2] = FastMath.log(airdata[4][i]);
x[i][3] = airdata[5][i];
x2[i][0] = x[i][0];
@ -836,7 +836,7 @@ public class MillerUpdatingRegressionTest {
x2[i][5] = x[i][3];
x2[i][6] = x[i][2];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);
@ -851,71 +851,71 @@ public class MillerUpdatingRegressionTest {
double[] se = result.getStdErrorOfEstimates();
double[] ser = resultRedundant.getStdErrorOfEstimates();
if (Math.abs(beta[0] - betar[0]) > 1.0e-8) {
if (FastMath.abs(beta[0] - betar[0]) > 1.0e-8) {
Assert.fail("Parameters not correct after reorder (0,3)");
}
if (Math.abs(beta[1] - betar[2]) > 1.0e-8) {
if (FastMath.abs(beta[1] - betar[2]) > 1.0e-8) {
Assert.fail("Parameters not correct after reorder (1,2)");
}
if (Math.abs(beta[2] - betar[3]) > 1.0e-8) {
if (FastMath.abs(beta[2] - betar[3]) > 1.0e-8) {
Assert.fail("Parameters not correct after reorder (2,1)");
}
if (Math.abs(beta[3] - betar[5]) > 1.0e-8) {
if (FastMath.abs(beta[3] - betar[5]) > 1.0e-8) {
Assert.fail("Parameters not correct after reorder (3,0)");
}
if (Math.abs(se[0] - ser[0]) > 1.0e-8) {
if (FastMath.abs(se[0] - ser[0]) > 1.0e-8) {
Assert.fail("Se not correct after reorder (0,3)");
}
if (Math.abs(se[1] - ser[2]) > 1.0e-8) {
if (FastMath.abs(se[1] - ser[2]) > 1.0e-8) {
Assert.fail("Se not correct after reorder (1,2)");
}
if (Math.abs(se[2] - ser[3]) > 1.0e-8) {
if (FastMath.abs(se[2] - ser[3]) > 1.0e-8) {
Assert.fail("Se not correct after reorder (2,1)");
}
if (Math.abs(se[3] - ser[5]) > 1.0e-8) {
if (FastMath.abs(se[3] - ser[5]) > 1.0e-8) {
Assert.fail("Se not correct after reorder (3,0)");
}
if (Math.abs(result.getCovarianceOfParameters(0, 0)
if (FastMath.abs(result.getCovarianceOfParameters(0, 0)
- resultRedundant.getCovarianceOfParameters(0, 0)) > 1.0e-8) {
Assert.fail("VCV not correct after reorder (0,0)");
}
if (Math.abs(result.getCovarianceOfParameters(0, 1)
if (FastMath.abs(result.getCovarianceOfParameters(0, 1)
- resultRedundant.getCovarianceOfParameters(0, 2)) > 1.0e-8) {
Assert.fail("VCV not correct after reorder (0,1)<->(0,2)");
}
if (Math.abs(result.getCovarianceOfParameters(0, 2)
if (FastMath.abs(result.getCovarianceOfParameters(0, 2)
- resultRedundant.getCovarianceOfParameters(0, 3)) > 1.0e-8) {
Assert.fail("VCV not correct after reorder (0,2)<->(0,1)");
}
if (Math.abs(result.getCovarianceOfParameters(0, 3)
if (FastMath.abs(result.getCovarianceOfParameters(0, 3)
- resultRedundant.getCovarianceOfParameters(0, 5)) > 1.0e-8) {
Assert.fail("VCV not correct after reorder (0,3)<->(0,3)");
}
if (Math.abs(result.getCovarianceOfParameters(1, 0)
if (FastMath.abs(result.getCovarianceOfParameters(1, 0)
- resultRedundant.getCovarianceOfParameters(2, 0)) > 1.0e-8) {
Assert.fail("VCV not correct after reorder (1,0)<->(2,0)");
}
if (Math.abs(result.getCovarianceOfParameters(1, 1)
if (FastMath.abs(result.getCovarianceOfParameters(1, 1)
- resultRedundant.getCovarianceOfParameters(2, 2)) > 1.0e-8) {
Assert.fail("VCV not correct (1,1)<->(2,1)");
}
if (Math.abs(result.getCovarianceOfParameters(1, 2)
if (FastMath.abs(result.getCovarianceOfParameters(1, 2)
- resultRedundant.getCovarianceOfParameters(2, 3)) > 1.0e-8) {
Assert.fail("VCV not correct (1,2)<->(2,2)");
}
if (Math.abs(result.getCovarianceOfParameters(2, 0)
if (FastMath.abs(result.getCovarianceOfParameters(2, 0)
- resultRedundant.getCovarianceOfParameters(3, 0)) > 1.0e-8) {
Assert.fail("VCV not correct (2,0)<->(1,0)");
}
if (Math.abs(result.getCovarianceOfParameters(2, 1)
if (FastMath.abs(result.getCovarianceOfParameters(2, 1)
- resultRedundant.getCovarianceOfParameters(3, 2)) > 1.0e-8) {
Assert.fail("VCV not correct (2,1)<->(1,2)");
}
if (Math.abs(result.getCovarianceOfParameters(3, 3)
if (FastMath.abs(result.getCovarianceOfParameters(3, 3)
- resultRedundant.getCovarianceOfParameters(5, 5)) > 1.0e-8) {
Assert.fail("VCV not correct (3,3)<->(3,2)");
}
@ -940,10 +940,10 @@ public class MillerUpdatingRegressionTest {
for (int i = 0; i < airdata[0].length; i++) {
x[i] = new double[4];
x[i][0] = 1.0;
x[i][1] = Math.log(airdata[3][i]);
x[i][2] = Math.log(airdata[4][i]);
x[i][1] = FastMath.log(airdata[3][i]);
x[i][2] = FastMath.log(airdata[4][i]);
x[i][3] = airdata[5][i];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
off = 0;
for (int j = 0; j < 4; j++) {
double tmp = x[i][j];
@ -968,14 +968,14 @@ public class MillerUpdatingRegressionTest {
int off2 = 6;
for (int i = 0; i < 4; i++) {
for (int j = 0; j < i; j++) {
if (Math.abs(pc[idx] - cp[off] / (diag[i] * diag[j])) > 1.0e-8) {
if (FastMath.abs(pc[idx] - cp[off] / (diag[i] * diag[j])) > 1.0e-8) {
Assert.fail("Failed cross products... i = " + i + " j = " + j);
}
++idx;
++off;
}
++off;
if (Math.abs(pc[i+off2] - yxcorr[ i] / (FastMath.sqrt(sumysq) * diag[i])) > 1.0e-8) {
if (FastMath.abs(pc[i+off2] - yxcorr[ i] / (FastMath.sqrt(sumysq) * diag[i])) > 1.0e-8) {
Assert.fail("Assert.failed cross product i = " + i + " y");
}
}
@ -985,7 +985,7 @@ public class MillerUpdatingRegressionTest {
for (int i = 1; i < 4; i++) {
for (int j = 1; j < i; j++) {
if (Math.abs(pc2[idx] - corr.getEntry(j, i)) > 1.0e-8) {
if (FastMath.abs(pc2[idx] - corr.getEntry(j, i)) > 1.0e-8) {
Assert.fail("Failed cross products... i = " + i + " j = " + j);
}
++idx;
@ -1006,10 +1006,10 @@ public class MillerUpdatingRegressionTest {
for (int i = 0; i < airdata[0].length; i++) {
x[i] = new double[4];
x[i][0] = 1.0;
x[i][1] = Math.log(airdata[3][i]);
x[i][2] = Math.log(airdata[4][i]);
x[i][1] = FastMath.log(airdata[3][i]);
x[i][2] = FastMath.log(airdata[4][i]);
x[i][3] = airdata[5][i];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);
OLSMultipleLinearRegression ols = new OLSMultipleLinearRegression();
@ -1029,10 +1029,10 @@ public class MillerUpdatingRegressionTest {
double[] y = new double[airdata[0].length];
for (int i = 0; i < airdata[0].length; i++) {
x[i] = new double[3];
x[i][0] = Math.log(airdata[3][i]);
x[i][1] = Math.log(airdata[4][i]);
x[i][0] = FastMath.log(airdata[3][i]);
x[i][1] = FastMath.log(airdata[4][i]);
x[i][2] = airdata[5][i];
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);
OLSMultipleLinearRegression ols = new OLSMultipleLinearRegression();
@ -1057,15 +1057,15 @@ public class MillerUpdatingRegressionTest {
double[] y = new double[airdata[0].length];
for (int i = 0; i < airdata[0].length; i++) {
x[i] = new double[3];
x[i][0] = Math.log(airdata[3][i]);
x[i][1] = Math.log(airdata[4][i]);
x[i][0] = FastMath.log(airdata[3][i]);
x[i][1] = FastMath.log(airdata[4][i]);
x[i][2] = airdata[5][i];
xReduced[i] = new double[2];
xReduced[i][0] = Math.log(airdata[3][i]);
xReduced[i][1] = Math.log(airdata[4][i]);
xReduced[i][0] = FastMath.log(airdata[3][i]);
xReduced[i][1] = FastMath.log(airdata[4][i]);
y[i] = Math.log(airdata[2][i]);
y[i] = FastMath.log(airdata[2][i]);
}
instance.addObservations(x, y);