Searched defs:values (Results 1 - 25 of 969) sorted by path

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/external/ImageMagick/MagickCore/
H A Dmorphology.h116 *values; member in struct:_KernelInfo
H A Dthread.c57 **values,
106 (*keys)->values=AcquireQuantumMemory((*keys)->number_threads,
108 if ((*keys)->values == (void *) NULL)
111 (void) memset((*keys)->values,0,(*keys)->number_threads*
160 (keys->values[i] != (void *) NULL))
162 keys->destructor(keys->values[i]);
163 keys->values[i]=(void *) NULL;
207 return(keys->values[GetOpenMPThreadId()]);
252 keys->values[GetOpenMPThreadId()]=(void *) value;
55 **values, member in struct:_MagickThreadValue
/external/aac/libAACenc/src/
H A Dbit_cnt.cpp109 static void FDKaacEnc_count1_2_3_4_5_6_7_8_9_10_11(const SHORT *RESTRICT values, argument
127 t0= values[i+0];
128 t1= values[i+1];
129 t2= values[i+2];
130 t3= values[i+3];
185 static void FDKaacEnc_count3_4_5_6_7_8_9_10_11(const SHORT *RESTRICT values, argument
203 t0= values[i+0];
204 t1= values[i+1];
205 t2= values[i+2];
206 t3= values[
256 FDKaacEnc_count5_6_7_8_9_10_11(const SHORT *RESTRICT values, const INT width, INT *bitCount) argument
311 FDKaacEnc_count7_8_9_10_11(const SHORT *RESTRICT values, const INT width, INT *bitCount) argument
361 FDKaacEnc_count9_10_11(const SHORT *RESTRICT values, const INT width, INT *bitCount) argument
408 FDKaacEnc_count11(const SHORT *RESTRICT values, const INT width, INT *bitCount) argument
449 FDKaacEnc_countEsc(const SHORT *RESTRICT values, const INT width, INT *RESTRICT bitCount) argument
519 FDKaacEnc_bitCount(const SHORT *values, const INT width, INT maxVal, INT *bitCount) argument
545 FDKaacEnc_countValues(SHORT *RESTRICT values, INT width, INT codeBook) argument
779 FDKaacEnc_codeValues(SHORT *RESTRICT values, INT width, INT codeBook, HANDLE_FDK_BITSTREAM hBitstream) argument
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/external/androidplot/AndroidPlot-Core/src/main/java/com/androidplot/pie/
H A DPieRenderer.java57 double[] values = getValues();
58 double scale = calculateScale(values);
69 float sweep = (float) (scale * (values[i]) * 360);
176 private double calculateScale(double[] values) { argument
178 for (int i = 0; i < values.length; i++) {
179 total += values[i];
/external/antlr/antlr-3.4/lib/
H A Dantlr-3.4-complete.jarMETA-INF/ META-INF/MANIFEST.MF org/ org/antlr/ org/antlr/analysis/ org/antlr/codegen/ org/ ...
/external/antlr/antlr-3.4/runtime/ActionScript/project/lib/
H A DFlexAntTasks.jarMETA-INF/ META-INF/MANIFEST.MF com/ com/adobe/ com/adobe/ac/ com/adobe/ac/ant/ ...
/external/antlr/antlr-3.4/runtime/Java/src/main/java/org/antlr/runtime/misc/
H A DDoubleKeyMap.java34 /** Get all values associated with primary key */
35 public Collection<Value> values(Key1 k1) { method in class:DoubleKeyMap
38 return data2.values();
53 public Collection<Value> values() { method in class:DoubleKeyMap
55 for (Map<Key2, Value> k2 : data.values()) {
56 for (Value v : k2.values()) {
/external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/interpolation/
H A DLoessInterpolator.java170 * @param yval the values for the interpolation points
174 * <li> Arguments and values are of the same size that is greater than zero</li>
176 * <li> All arguments and values are finite real numbers</li>
188 * @param yval the values for the interpolation points
190 * @return values of the loess fit at corresponding original abscissae
193 * <li> Arguments and values are of the same size that is greater than zero</li>
195 * <li> All arguments and values are finite real numbers</li>
350 * @param yval the values for the interpolation points
351 * @return values of the loess fit at corresponding original abscissae
354 * <li> Arguments and values ar
436 checkAllFiniteReal(final double[] values, final Localizable pattern) argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/linear/
H A DOpenMapRealVector.java116 * @param values The set of values to create from
118 public OpenMapRealVector(double[] values) { argument
119 this(values, DEFAULT_ZERO_TOLERANCE);
125 * @param values The set of values to create from
128 public OpenMapRealVector(double[] values, double epsilon) { argument
129 virtualSize = values.length;
132 for (int key = 0; key < values.length; key++) {
133 double value = values[ke
145 OpenMapRealVector(Double[] values) argument
155 OpenMapRealVector(Double[] values, double epsilon) argument
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H A DSparseFieldVector.java101 * @param values The set of values to create from
103 public SparseFieldVector(Field<T> field, T[] values) { argument
105 virtualSize = values.length;
107 for (int key = 0; key < values.length; key++) {
108 T value = values[key];
/external/apache-commons-math/src/main/java/org/apache/commons/math/random/
H A DValueServer.java29 * Generates values for use in simulation applications.
31 * How values are generated is determined by the <code>mode</code>
34 * Supported <code>mode</code> values are: <ul>
37 * <li> UNIFORM_MODE -- generates uniformly distributed random values with
39 * <li> EXPONENTIAL_MODE -- generates exponentially distributed random values
41 * <li> GAUSSIAN_MODE -- generates Gaussian distributed random values with
69 /** mode determines how values are generated. */
72 /** URI to raw data values. */
133 * Fills the input array with values generated using getNext() repeatedly.
135 * @param values arra
138 fill(double[] values) argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/
H A DStatUtils.java79 * Returns the sum of the values in the input array, or
85 * @param values array of values to sum
86 * @return the sum of the values or <code>Double.NaN</code> if the array
90 public static double sum(final double[] values) { argument
91 return SUM.evaluate(values);
101 * @param values the input array
104 * @return the sum of the values or Double.NaN if length = 0
108 public static double sum(final double[] values, final int begin, argument
110 return SUM.evaluate(values, begi
124 sumSq(final double[] values) argument
142 sumSq(final double[] values, final int begin, final int length) argument
157 product(final double[] values) argument
175 product(final double[] values, final int begin, final int length) argument
194 sumLog(final double[] values) argument
216 sumLog(final double[] values, final int begin, final int length) argument
234 mean(final double[] values) argument
255 mean(final double[] values, final int begin, final int length) argument
273 geometricMean(final double[] values) argument
294 geometricMean(final double[] values, final int begin, final int length) argument
315 variance(final double[] values) argument
339 variance(final double[] values, final int begin, final int length) argument
370 variance(final double[] values, final double mean, final int begin, final int length) argument
397 variance(final double[] values, final double mean) argument
418 max(final double[] values) argument
444 max(final double[] values, final int begin, final int length) argument
466 min(final double[] values) argument
492 min(final double[] values, final int begin, final int length) argument
520 percentile(final double[] values, final double p) argument
551 percentile(final double[] values, final int begin, final int length, final double p) argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/
H A DAbstractStorelessUnivariateStatistic.java52 * @param values input array
57 public double evaluate(final double[] values) { argument
58 if (values == null) {
61 return evaluate(values, 0, values.length);
79 * @param values the input array
86 public double evaluate(final double[] values, final int begin, final int length) { argument
87 if (test(values, begin, length)) {
89 incrementAll(values, begin, length);
119 * Throws IllegalArgumentException if the input values arra
125 incrementAll(double[] values) argument
144 incrementAll(double[] values, int begin, int length) argument
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H A DAbstractUnivariateStatistic.java49 * @param values data array to store (may be null to remove stored data)
52 public void setData(final double[] values) { argument
53 storedData = (values == null) ? null : values.clone();
74 * @param values data array to store
79 public void setData(final double[] values, final int begin, final int length) { argument
81 System.arraycopy(values, begin, storedData, 0, length);
98 public double evaluate(final double[] values) { argument
99 test(values, 0, 0);
100 return evaluate(values,
106 evaluate(final double[] values, final int begin, final int length) argument
132 test( final double[] values, final int begin, final int length) argument
191 test( final double[] values, final double[] weights, final int begin, final int length) argument
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H A DStorelessUnivariateStatistic.java22 * values and updating internal state.
26 * sample values.</p>
40 * all values in the values array. Does not clear the statistic first --
41 * i.e., the values are added <strong>incrementally</strong> to the dataset.
43 * @param values array holding the new values to add
46 void incrementAll(double[] values); argument
50 * the values in the designated portion of the values arra
59 incrementAll(double[] values, int start, int length) argument
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H A DUnivariateStatistic.java30 * @param values input array
33 double evaluate(double[] values); argument
39 * @param values the input array
44 double evaluate(double[] values, int begin, int length); argument
H A DWeightedEvaluation.java31 * @param values input array
35 double evaluate(double[] values, double[] weights); argument
41 * @param values the input array
47 double evaluate(double[] values, double[] weights, int begin, int length); argument
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/
H A DGeometricMean.java30 * geometric mean </a> of the available values.
35 * <li>If any of values are < 0, the result is <code>NaN.</code></li>
36 * <li>If all values are non-negative and less than
40 * <code>Double.NEGATIVE_INFINITY</code> are among the values, the result is
132 * @param values input array containing the values
136 * any of the values are &lt;= 0.
142 final double[] values, final int begin, final int length) {
144 sumOfLogs.evaluate(values, begin, length) / length);
141 evaluate( final double[] values, final int begin, final int length) argument
H A DKurtosis.java28 * Computes the Kurtosis of the available values.
34 * where n is the number of values, mean is the {@link Mean} and std is the
155 * @param values the input array
158 * @return the kurtosis of the values or Double.NaN if length is less than
164 public double evaluate(final double[] values,final int begin, final int length) { argument
168 if (test(values, begin, length) && length > 3) {
172 variance.incrementAll(values, begin, length);
180 accum3 += FastMath.pow(values[i] - mean, 4.0);
H A DMean.java26 * <p>Computes the arithmetic mean of a set of values. Uses the definitional
34 * stream of (unstored) values, the value of the statistic that
43 * of stored values, a two-pass, corrected algorithm is used, starting with
44 * the definitional formula computed using the array of stored values and then
45 * correcting this by adding the mean deviation of the data values from the
146 * @param values the input array
149 * @return the mean of the values or Double.NaN if length = 0
154 public double evaluate(final double[] values,final int begin, final int length) { argument
155 if (test(values, begin, length)) {
160 double xbar = sum.evaluate(values, begi
201 evaluate(final double[] values, final double[] weights, final int begin, final int length) argument
244 evaluate(final double[] values, final double[] weights) argument
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H A DSemiVariance.java26 * <p>Computes the semivariance of a set of values with respect to a given cutoff value.
27 * We define the <i>downside semivariance</i> of a set of values <code>x</code>
33 * is defined similarly, with the sum taken over values of <code>x</code> that
38 * and bias correction may be set using property setters or their values can provided as
172 * @param values the input array
174 * @throws IllegalArgumentException if values is null
178 public double evaluate(final double[] values) { argument
179 if (values == null) {
182 return evaluate(values, 0, values
201 evaluate(final double[] values, final int start, final int length) argument
217 evaluate(final double[] values, Direction direction) argument
234 evaluate(final double[] values, final double cutoff) argument
251 evaluate(final double[] values, final double cutoff, final Direction direction) argument
273 evaluate(final double[] values, final double cutoff, final Direction direction, final boolean corrected, final int start, final int length) argument
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H A DSkewness.java25 * Computes the skewness of the available values.
31 * where n is the number of values, mean is the {@link Mean} and std is the
95 * Returns the value of the statistic based on the values that have been added.
99 * @return the skewness of the available values.
142 * @param values the input array
145 * @return the skewness of the values or Double.NaN if length is less than
151 public double evaluate(final double[] values,final int begin, argument
157 if (test(values, begin, length) && length > 2 ){
160 double m = mean.evaluate(values, begin, length);
168 final double d = values[
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H A DStandardDeviation.java147 * @param values the input array
148 * @return the standard deviation of the values or Double.NaN if length = 0
152 public double evaluate(final double[] values) { argument
153 return FastMath.sqrt(variance.evaluate(values));
167 * @param values the input array
170 * @return the standard deviation of the values or Double.NaN if length = 0
175 public double evaluate(final double[] values, final int begin, final int length) { argument
176 return FastMath.sqrt(variance.evaluate(values, begin, length));
195 * @param values the input array
199 * @return the standard deviation of the values o
203 evaluate(final double[] values, final double mean, final int begin, final int length) argument
229 evaluate(final double[] values, final double mean) argument
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H A DVariance.java27 * Computes the variance of the available values. By default, the unbiased
44 * full array of values in memory to execute a two-pass algorithm.
48 * Note that adding values using <code>increment</code> or
51 * <code>evaluate</code> with the full array of values. The former approach
52 * should only be used when the full array of values is not available.</p>
149 * <p>If all values are available, it is more accurate to use
150 * {@link #evaluate(double[])} rather than adding values one at a time
153 * list of values together to execute a two-pass algorithm.
210 * @param values the input array
211 * @return the variance of the values o
215 evaluate(final double[] values) argument
243 evaluate(final double[] values, final int begin, final int length) argument
302 evaluate(final double[] values, final double[] weights, final int begin, final int length) argument
358 evaluate(final double[] values, final double[] weights) argument
388 evaluate(final double[] values, final double mean, final int begin, final int length) argument
441 evaluate(final double[] values, final double mean) argument
490 evaluate(final double[] values, final double[] weights, final double mean, final int begin, final int length) argument
564 evaluate(final double[] values, final double[] weights, final double mean) argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/rank/
H A DMax.java24 * Returns the maximum of the available values.
27 * <li>The result is <code>NaN</code> iff all values are <code>NaN</code>
28 * (i.e. <code>NaN</code> values have no impact on the value of the statistic).</li>
29 * <li>If any of the values equals <code>Double.POSITIVE_INFINITY</code>,
45 /** Number of values that have been added */
113 * <li>The result is <code>NaN</code> iff all values are <code>NaN</code>
114 * (i.e. <code>NaN</code> values have no impact on the value of the statistic).</li>
115 * <li>If any of the values equals <code>Double.POSITIVE_INFINITY</code>,
119 * @param values the input array
122 * @return the maximum of the values o
127 evaluate(final double[] values, final int begin, final int length) argument
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