Examples of Min

com.asakusafw.compiler.flow.processor.operator.GroupSortFlowFactory.Min
com.mockturtlesolutions.snifflib.stats.Min
javax.validation.constraints.Min
org.apache.commons.math.stat.descriptive.rank.Min
Returns the minimum of the available values.
- The result is NaN iff all values are NaN (i.e. NaN values have no impact on the value of the statistic).
- If any of the values equals Double.NEGATIVE_INFINITY, the result is Double.NEGATIVE_INFINITY.
Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.
@version $Revision: 1006299 $ $Date: 2010-10-10 16:47:17 +0200 (dim. 10 oct. 2010) $
org.apache.commons.math.stat.univariate.rank.Min
@version $Revision: 1.12 $ $Date: 2003/11/19 03:28:24 $
org.apache.commons.math3.analysis.function.Min
Minimum function. @since 3.0
org.apache.commons.math3.stat.descriptive.rank.Min
Returns the minimum of the available values.
- The result is NaN iff all values are NaN (i.e. NaN values have no impact on the value of the statistic).
- If any of the values equals Double.NEGATIVE_INFINITY, the result is Double.NEGATIVE_INFINITY.
Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.
@version $Id: Min.java 1244107 2012-02-14 16:17:55Z erans $
org.apache.imperius.spl.parser.expressions.impl.Min
@author Xiping Change Log: 1. 3/9/07: Neeraj Joshi: Changed constructor totake a list to facilitate reflection in the expression factory 2. 3/9/07: Neeraj Joshi: Changed the method in which the return type is determined
org.apache.kafka.common.metrics.stats.Min
A {@link SampledStat} that gives the min over its samples.
org.apache.pig.builtin.MIN
Generates the minimum of a set of values. This class implements {@link org.apache.pig.Algebraic}, so if possible the execution will performed in a distributed fashion.
MIN can operate on any numeric type and on chararrays. It can also operate on bytearrays, which it will cast to doubles. It expects a bag of tuples of one record each. If Pig knows from the schema that this function will be passed a bag of integers or longs, it will use a specially adapted version of MIN that uses integer arithmetic for comparing the data. The return type of MIN will match the input type.
MIN implements the {@link org.apache.pig.Accumulator} interface as well.While this will never be the preferred method of usage it is available in case the combiner can not be used for a given calculation.
org.apache.pig.piggybank.evaluation.math.MIN
math.MIN implements a binding to the Java function {@link java.lang.Math#min(double,double) Math.min(double,double)}. Given a tuple with two data atom it Returns the data atom with smaller value.

Parameters:

value - Tuple containing two double.

Return Value:

double

Return Schema:

MIN_inputSchema

Example:

register math.jar; A = load 'mydata' using PigStorage() as ( float1 ); B = foreach A generate float1, math.MIN(float1);

@see Math#MIN(double,double) @see @author ajay garg
org.apache.tapestry.validator.Min
org.apache.tapestry5.validator.Min
org.apache.torque.util.functions.Min
SQL99 Standard min function. @version $Id: Min.java 1448414 2013-02-20 21:06:35Z tfischer $
org.boris.expr.function.excel.MIN
org.hibernate.validator.Min
org.neo4j.gis.spatial.pipes.processing.Min
Computes the minimum value of the specified property and discard items with a value greater than the minimum.
org.objectweb.medor.filter.lib.Min
org.openrdf.query.algebra.Min
@author David Huynh
org.springmodules.validation.bean.conf.loader.annotation.handler.Min
org.teiid.query.function.aggregate.Min

Examples of org.apache.commons.math.stat.descriptive.rank.Min

     * Construct a SummaryStatistics
     */
    public SummaryStatisticsImpl() {
        sum = new Sum();
        sumsq = new SumOfSquares();
        min = new Min();
        max = new Max();
        sumLog = new SumOfLogs();
        geoMean = new GeometricMean();
        secondMoment = new SecondMoment();
    }

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Examples of org.apache.commons.math.stat.descriptive.rank.Min

    /** 
    * Returns the minimum of the available values
    * @return The min or Double.NaN if no values have been added.
    */
    public double getMin() {
        return apply(new Min());
    }

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Examples of org.apache.commons.math.stat.descriptive.rank.Min

        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }

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Examples of org.apache.commons.math.stat.descriptive.rank.Min

        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }

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Examples of org.apache.commons.math.stat.univariate.rank.Min

    public AbstractStorelessDescriptiveStatistics() {
        super();
        
        sum = new Sum();
        sumsq = new SumOfSquares();
        min = new Min();
        max = new Max();
        sumLog = new SumOfLogs();
        geoMean = new GeometricMean();


        moment = new FourthMoment();

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Examples of org.apache.commons.math3.analysis.function.Min


        bi = new Max();
        coll = FunctionUtils.collector(bi, Double.NEGATIVE_INFINITY);
        Assert.assertEquals(10, coll.value(new double[] {1, -2, 7.5, 10, -24, 9.99}), 0);


        bi = new Min();
        coll = FunctionUtils.collector(bi, Double.POSITIVE_INFINITY);
        Assert.assertEquals(-24, coll.value(new double[] {1, -2, 7.5, 10, -24, 9.99}), 0);
    }

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Examples of org.apache.commons.math3.analysis.function.Min


        bi = new Max();
        coll = FunctionUtils.collector(bi, Double.NEGATIVE_INFINITY);
        Assert.assertEquals(10, coll.value(new double[] {1, -2, 7.5, 10, -24, 9.99}), 0);


        bi = new Min();
        coll = FunctionUtils.collector(bi, Double.POSITIVE_INFINITY);
        Assert.assertEquals(-24, coll.value(new double[] {1, -2, 7.5, 10, -24, 9.99}), 0);
    }

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Examples of org.apache.commons.math3.stat.descriptive.rank.Min

        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }

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Examples of org.apache.commons.math3.stat.descriptive.rank.Min

            TestUtils.assertEquals(dstats.getMax(), sstats.getMax(), tol);
            TestUtils.assertEquals(new Max().evaluate(values), dstats.getMax(), tol);
            TestUtils.assertEquals(dstats.getGeometricMean(), sstats.getGeometricMean(), tol);
            TestUtils.assertEquals(new GeometricMean().evaluate(values), dstats.getGeometricMean(), tol);
            TestUtils.assertEquals(dstats.getMin(), sstats.getMin(), tol);
            TestUtils.assertEquals(new Min().evaluate(values), dstats.getMin(), tol);
            TestUtils.assertEquals(dstats.getStandardDeviation(), sstats.getStandardDeviation(), tol);
            TestUtils.assertEquals(dstats.getVariance(), sstats.getVariance(), tol);
            TestUtils.assertEquals(new Variance().evaluate(values), dstats.getVariance(), tol);
            TestUtils.assertEquals(dstats.getSum(), sstats.getSum(), tol);
            TestUtils.assertEquals(new Sum().evaluate(values), dstats.getSum(), tol);

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Examples of org.apache.commons.math3.stat.descriptive.rank.Min

        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }

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