| /external/libmpeg2/common/ |
| icv_macros.h | 54 #define MEAN(a, b) AVG(a, b)
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
| StatUtils.java | 24 import org.apache.commons.math.stat.descriptive.moment.Mean;
60 /** mean */
61 private static final UnivariateStatistic MEAN = new Mean();
69 /** geometric mean */
222 * Returns the arithmetic mean of the entries in the input array, or
227 * See {@link org.apache.commons.math.stat.descriptive.moment.Mean} for
231 * @return the mean of the values or Double.NaN if the array is empty
234 public static double mean(final double[] values) { method in class:StatUtils
235 return MEAN.evaluate(values)
255 public static double mean(final double[] values, final int begin, method in class:StatUtils
650 double mean = stats.getMean(); local
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/exception/util/ |
| LocalizedFormats.java | 181 NOT_POSITIVE_MEAN("mean must be positive ({0})"),
182 MEAN("mean ({0})"), /* keep */
187 NOT_POSITIVE_POISSON_MEAN("the Poisson mean must be positive ({0})"),
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
| RandomDataImpl.java | 347 * The Poisson process (and hence value returned) is bounded by 1000 * mean.</li>
353 * @param mean mean of the Poisson distribution.
355 * @throws NotStrictlyPositiveException if {@code mean <= 0}.
357 public long nextPoisson(double mean) {
358 if (mean <= 0) {
359 throw new NotStrictlyPositiveException(LocalizedFormats.MEAN, mean);
365 if (mean < pivot) {
366 double p = FastMath.exp(-mean);
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| /external/blktrace/btt/doc/ |
| btt.tex | 239 submitted to lower level drivers), the \emph{mean} distance between
250 DEV | NSEEKS MEAN MEDIAN | MODE
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| /external/owasp/sanitizer/lib/htmlparser-1.3/ |
| htmlparser-1.3-with-transitions.jar | |
| htmlparser-1.3.jar | |
