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Top Forums Programming Simplify setter and getter of java class Post 302990963 by yifangt on Friday 3rd of February 2017 12:35:42 PM
Old 02-03-2017
Thanks colt!
I rewrote the code. Please comment on any mistake or improvement to get the "simplest" version of the code as I am still quite vague with your suggestions.
Code:
import java.util.Scanner;

public class MaximumFinder6
{
    public static class Maximum            
    {
        private double maximumValue;

        public void setMaximum (double x, double y, double z)
        {
            this.maximumValue = x;

            if (y > this.maximumValue)
                this.maximumValue = y;

            if (z > this.maximumValue)
                this.maximumValue = z;

        }  //End of setMaximum. This only set the maximumValue within the class,

        public double getMaximum ()
        {
            return this.maximumValue;
        }
    } //end of maximum class

    public static void main (String[] args)
    {
        Scanner input = new Scanner(System.in);
        System.out.print("Enter three floating numbers separated by spaces: ");
        double num1 = input.nextDouble();
        double num2 = input.nextDouble();
        double num3 = input.nextDouble();

        Maximum max = new Maximum();

        max.setMaximum(num1, num2, num3);
        System.out.println(max.getMaximum());

    } //end of main()
} //end of class MaximumFinder6

This version does not have the constructor with parameter I am learning.
What is the reason you said there is no need for the constructor here? Thanks!

Last edited by yifangt; 02-03-2017 at 01:45 PM.. Reason: Typo and modification
 

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MPSNNArithmeticGradientNode(3)				 MetalPerformanceShaders.framework			    MPSNNArithmeticGradientNode(3)

NAME
MPSNNArithmeticGradientNode SYNOPSIS
#import <MPSNNGraphNodes.h> Inherits MPSNNGradientFilterNode. Inherited by MPSNNAdditionGradientNode, MPSNNMultiplicationGradientNode, and MPSNNSubtractionGradientNode. Instance Methods (nonnull instancetype) - initWithSourceGradient:sourceImage:gradientState: (nonnull instancetype) - initWithGradientImages:forwardFilter:isSecondarySourceFilter: Class Methods (nonnull instancetype) + nodeWithSourceGradient:sourceImage:gradientState: Properties float primaryScale float secondaryScale float bias NSUInteger secondaryStrideInPixelsX NSUInteger secondaryStrideInPixelsY NSUInteger secondaryStrideInFeatureChannels float minimumValue float maximumValue bool isSecondarySourceFilter Method Documentation - (nonnull instancetype) initWithGradientImages: (NSArray< MPSNNImageNode * > *__nonnull) gradientImages(MPSNNFilterNode *__nonnull) filter(bool) isSecondarySourceFilter create a new arithmetic gradient node See also -[MPSCNNNeuronNode gradientFilterNodesWithSources:] for an easier way to do this. Parameters: gradientImages The input gradient from the 'downstream' gradient filter and the source input image from the forward pass (primary or secondary). filter The matching filter node from the forward pass. isSecondarySourceFilter The isSecondarySourceFilter property is used to indicate whether the arithmetic gradient filter is operating on the primary or secondary source image from the forward pass. - (nonnull instancetype) initWithSourceGradient: (MPSNNImageNode *__nonnull) sourceGradient(MPSNNImageNode *__nonnull) sourceImage(MPSNNBinaryGradientStateNode *__nonnull) gradientState create a new arithmetic gradient node See also -[MPSCNNNeuronNode gradientFilterNodesWithSources:] for an easier way to do this. Parameters: sourceGradient The input gradient from the 'downstream' gradient filter. sourceImage The source input image from the forward pass (primary or secondary). gradientState The gradient state produced by the concatenation filter, consumed by this filter. + (nonnull instancetype) nodeWithSourceGradient: (MPSNNImageNode *__nonnull) sourceGradient(MPSNNImageNode *__nonnull) sourceImage(MPSNNBinaryGradientStateNode *__nonnull) gradientState create a new arithmetic gradient node See also -[MPSCNNNeuronNode gradientFilterNodesWithSources:] for an easier way to do this. Parameters: sourceGradient The input gradient from the 'downstream' gradient filter. sourceImage The source input image from the forward pass (primary or secondary). gradientState The gradient state produced by the concatenation filter, consumed by this filter. Property Documentation - (float) bias [read], [write], [nonatomic], [assign] - (bool) isSecondarySourceFilter [read], [write], [nonatomic], [assign] - (float) maximumValue [read], [write], [nonatomic], [assign] - (float) minimumValue [read], [write], [nonatomic], [assign] - (float) primaryScale [read], [write], [nonatomic], [assign] - (float) secondaryScale [read], [write], [nonatomic], [assign] - (NSUInteger) secondaryStrideInFeatureChannels [read], [write], [nonatomic], [assign] - (NSUInteger) secondaryStrideInPixelsX [read], [write], [nonatomic], [assign] - (NSUInteger) secondaryStrideInPixelsY [read], [write], [nonatomic], [assign] Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSNNArithmeticGradientNode(3)
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