The the patrol.
This commit is contained in:
parent
00a0c6cb86
commit
eb57d6d457
|
@ -279,7 +279,7 @@ public class GaussNewtonOptimizer implements LeastSquaresOptimizer {
|
|||
residuals.getEntry(i) * jacobian.getEntry(i, j));
|
||||
}
|
||||
|
||||
// add the the contribution to the normal matrix for measurement i
|
||||
// add the contribution to the normal matrix for measurement i
|
||||
for (int k = 0; k < nC; ++k) {
|
||||
//only compute the upper triangular part
|
||||
for (int l = k; l < nC; ++l) {
|
||||
|
|
|
@ -838,7 +838,7 @@ public class ArcsSet extends AbstractRegion<Sphere1D, Sphere1D> implements Itera
|
|||
limits.remove(i);
|
||||
i = i - 1;
|
||||
} else {
|
||||
// special case, i the the last entry and j is the first entry
|
||||
// special case, i the last entry and j is the first entry
|
||||
// we have wrapped around list end
|
||||
final double lEnd = limits.remove(limits.size() - 1);
|
||||
final double lStart = limits.remove(0);
|
||||
|
|
|
@ -32,7 +32,7 @@ import org.apache.commons.math4.util.FastMath;
|
|||
/** This class represents an oriented great circle on the 2-sphere.
|
||||
|
||||
* <p>An oriented circle can be defined by a center point. The circle
|
||||
* is the the set of points that are in the normal plan the center.</p>
|
||||
* is the set of points that are in the normal plan the center.</p>
|
||||
|
||||
* <p>Since it is oriented the two spherical caps at its two sides are
|
||||
* unambiguously identified as a left cap and a right cap. This can be
|
||||
|
|
|
@ -105,7 +105,7 @@ public class MatrixUtils {
|
|||
}
|
||||
|
||||
/**
|
||||
* Returns a {@link RealMatrix} whose entries are the the values in the
|
||||
* Returns a {@link RealMatrix} whose entries are the values in the
|
||||
* the input array.
|
||||
* <p>The type of matrix returned depends on the dimension. Below
|
||||
* 2<sup>12</sup> elements (i.e. 4096 elements or 64×64 for a
|
||||
|
@ -136,7 +136,7 @@ public class MatrixUtils {
|
|||
}
|
||||
|
||||
/**
|
||||
* Returns a {@link FieldMatrix} whose entries are the the values in the
|
||||
* Returns a {@link FieldMatrix} whose entries are the values in the
|
||||
* the input array.
|
||||
* <p>The type of matrix returned depends on the dimension. Below
|
||||
* 2<sup>12</sup> elements (i.e. 4096 elements or 64×64 for a
|
||||
|
|
|
@ -1913,7 +1913,7 @@ public class BOBYQAOptimizer
|
|||
|
||||
// Multiply the search direction by the second derivative matrix of Q and
|
||||
// calculate some scalars for the choice of steplength. Then set BLEN to
|
||||
// the length of the the step to the trust region boundary and STPLEN to
|
||||
// the length of the step to the trust region boundary and STPLEN to
|
||||
// the steplength, ignoring the simple bounds.
|
||||
|
||||
state = 210; break;
|
||||
|
|
|
@ -333,7 +333,7 @@ public class Variance extends AbstractStorelessUnivariateStatistic implements Se
|
|||
|
||||
/**
|
||||
* <p>
|
||||
* Returns the weighted variance of the entries in the the input array.</p>
|
||||
* Returns the weighted variance of the entries in the input array.</p>
|
||||
* <p>
|
||||
* Uses the formula <div style="white-space:pre"><code>
|
||||
* Σ(weights[i]*(values[i] - weightedMean)<sup>2</sup>)/(Σ(weights[i]) - 1)
|
||||
|
|
|
@ -170,7 +170,7 @@ public class Sum extends AbstractStorelessUnivariateStatistic implements Seriali
|
|||
}
|
||||
|
||||
/**
|
||||
* The weighted sum of the entries in the the input array.
|
||||
* The weighted sum of the entries in the input array.
|
||||
* <p>
|
||||
* Throws <code>MathIllegalArgumentException</code> if any of the following are true:
|
||||
* <ul><li>the values array is null</li>
|
||||
|
|
|
@ -399,7 +399,7 @@ public class ChiSquareTest {
|
|||
* @param observed1 array of observed frequency counts of the first data set
|
||||
* @param observed2 array of observed frequency counts of the second data set
|
||||
* @return chiSquare test statistic
|
||||
* @throws DimensionMismatchException the the length of the arrays does not match
|
||||
* @throws DimensionMismatchException the length of the arrays does not match
|
||||
* @throws NotPositiveException if any entries in <code>observed1</code> or
|
||||
* <code>observed2</code> are negative
|
||||
* @throws ZeroException if either all counts of <code>observed1</code> or
|
||||
|
@ -495,7 +495,7 @@ public class ChiSquareTest {
|
|||
* @param observed1 array of observed frequency counts of the first data set
|
||||
* @param observed2 array of observed frequency counts of the second data set
|
||||
* @return p-value
|
||||
* @throws DimensionMismatchException the the length of the arrays does not match
|
||||
* @throws DimensionMismatchException the length of the arrays does not match
|
||||
* @throws NotPositiveException if any entries in <code>observed1</code> or
|
||||
* <code>observed2</code> are negative
|
||||
* @throws ZeroException if either all counts of <code>observed1</code> or
|
||||
|
@ -548,7 +548,7 @@ public class ChiSquareTest {
|
|||
* @param alpha significance level of the test
|
||||
* @return true iff null hypothesis can be rejected with confidence
|
||||
* 1 - alpha
|
||||
* @throws DimensionMismatchException the the length of the arrays does not match
|
||||
* @throws DimensionMismatchException the length of the arrays does not match
|
||||
* @throws NotPositiveException if any entries in <code>observed1</code> or
|
||||
* <code>observed2</code> are negative
|
||||
* @throws ZeroException if either all counts of <code>observed1</code> or
|
||||
|
|
|
@ -336,7 +336,7 @@ public class GTest {
|
|||
* @param observed2 array of observed frequency counts of the second data
|
||||
* set
|
||||
* @return G-Test statistic
|
||||
* @throws DimensionMismatchException the the lengths of the arrays do not
|
||||
* @throws DimensionMismatchException the lengths of the arrays do not
|
||||
* match or their common length is less than 2
|
||||
* @throws NotPositiveException if any entry in {@code observed1} or
|
||||
* {@code observed2} is negative
|
||||
|
@ -458,7 +458,7 @@ public class GTest {
|
|||
* @param observed2 array of observed frequency counts of the second data
|
||||
* set
|
||||
* @return p-value
|
||||
* @throws DimensionMismatchException the the length of the arrays does not
|
||||
* @throws DimensionMismatchException the length of the arrays does not
|
||||
* match or their common length is less than 2
|
||||
* @throws NotPositiveException if any of the entries in {@code observed1} or
|
||||
* {@code observed2} are negative
|
||||
|
@ -511,7 +511,7 @@ public class GTest {
|
|||
* @param alpha significance level of the test
|
||||
* @return true iff null hypothesis can be rejected with confidence 1 -
|
||||
* alpha
|
||||
* @throws DimensionMismatchException the the length of the arrays does not
|
||||
* @throws DimensionMismatchException the length of the arrays does not
|
||||
* match
|
||||
* @throws NotPositiveException if any of the entries in {@code observed1} or
|
||||
* {@code observed2} are negative
|
||||
|
|
|
@ -41,7 +41,7 @@ import org.apache.commons.math4.exception.util.LocalizedFormats;
|
|||
* <p>
|
||||
* Note that FastMath is
|
||||
* extensively used inside Apache Commons Math, so by calling some algorithms,
|
||||
* the overhead when the the tables need to be initialized will occur
|
||||
* the overhead when the tables need to be initialized will occur
|
||||
* regardless of the end-user calling FastMath methods directly or not.
|
||||
* Performance figures for a specific JVM and hardware can be evaluated by
|
||||
* running the FastMathTestPerformance tests in the test directory of the source
|
||||
|
|
Loading…
Reference in New Issue