Examples of net.algart.math.functions.Func

net.algart.math.functions.Func

Abstract mathematical function f(x₀, x₁, ..., x_n-1), or f(x), where x is a point of the n-dimensional space.

Implementations of this interface are usually immutable and always thread-safe: get methods of this interface may be freely used while simultaneous accessing to the same instance from several threads. All implementations of this interface from this package are immutable.

AlgART Laboratory 2007–2014
@author Daniel Alievsky @version 1.2 @since JDK 1.5

        double[] weights = new double[shifted.size()];
        assert weights.length <= 31;
        for (int k = 0; k < weights.length; k++) {
            weights[k] = 1L << k;
        }
        Func packingShiftedBits = LinearFunc.getInstance(0.0, weights);
        return Matrices.asFuncMatrix(packingShiftedBits, IntArray.class, shifted);
    }

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            throw new NullPointerException("Null src argument");
        if (pattern == null)
            throw new NullPointerException("Null pattern argument");
        if (pattern.dimCount() != src.dimCount())
            throw new IllegalArgumentException("Number of dimensions of the pattern and the matrix mismatch");
        Func processingFunc = LinearFunc.getInstance(
            PFloatingArray.class.isAssignableFrom(src.type()) ? 0.0 : 0.5,
            1.0 / pattern.pointCount());
        return asFunctionOfSum(src, pattern, processingFunc);
    }

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            throw new NullPointerException("Null src argument");
        if (pattern == null)
            throw new NullPointerException("Null pattern argument");
        if (pattern.dimCount() != src.dimCount())
            throw new IllegalArgumentException("Number of dimensions of the pattern and the matrix mismatch");
        Func processingFunc = LinearFunc.getInstance(
            PFloatingArray.class.isAssignableFrom(src.type()) ? 0.0 : 0.5,
            1.0 / pattern.pointCount());
        functionOfSum(dest, src, pattern, processingFunc);
    }

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            {
                LinearOperator inverseTransform = (LinearOperator)((UniversalFramePosition)p).inverseTransform();
//                System.out.println("1 frame branch: linear operator " + inverseTransform);
                LinearOperator shift = LinearOperator.getShiftInstance(area.min().coordinates());
                LinearOperator lo = shift.superposition(inverseTransform);
                Func f = Matrices.asInterpolationFunc(m, Matrices.InterpolationMethod.POLYLINEAR_FUNCTION,
                    outsideValue(actualFrames));
                f = lo.apply(f);
                return Matrices.asCoordFuncMatrix(f, requiredType, dimensions);
            }
        }

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                }
            }


        } else { // not direct
            // here we are sure that layers are large, so multiprocessing can be useful: we shall not disable it
            final Func updater = LinearFunc.getInstance(0.0, 1.0, -1.0, 1.0);
            UpdatablePArray acc = (UpdatablePArray) memoryModel().newUnresizableArray(accElementType, layerSize);
            for (long shift = min; shift <= max; shift++) {
                long i = (-shift * layerSize) % length; // "% length", because min..max can be negative or large
                if (i < 0) {
                    i += length;

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    }


    public Func asInterpolationFunc(Matrix<? extends PArray> sourceMatrix) {
        Point o = area.min();
        boolean integerShift = isShift && o.equals(o.toRoundedPoint().toPoint());
        Func f = Matrices.asInterpolationFunc(sourceMatrix,
            integerShift ?
                Matrices.InterpolationMethod.STEP_FUNCTION :
                Matrices.InterpolationMethod.POLYLINEAR_FUNCTION,
            Double.NaN);
        return inverseTransform.apply(f);

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Related Classes of net.algart.math.functions.Func

net.algart.matrices.morphology.AbstractRankMorphology

net.algart.matrices.morphology.Summator

net.algart.matrices.skeletons.ApertureBasedSkeletonPixelClassifier

net.algart.matrices.stitching.Stitcher

net.algart.matrices.stitching.UniversalFramePosition

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