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The Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.commons.math.linear;

import java.io.Serializable;
import java.util.Arrays;
import java.util.Iterator;

import org.apache.commons.math.MathRuntimeException;
import org.apache.commons.math.exception.util.LocalizedFormats;
import org.apache.commons.math.util.MathUtils;
import org.apache.commons.math.util.FastMath;

/**
 * This class implements the {@link RealVector} interface with a double array.
 * @version $Revision: 1003993 $ $Date: 2010-10-03 18:39:16 +0200 (dim. 03 oct. 2010) $
 * @since 2.0
 */
public class ArrayRealVector extends AbstractRealVector implements Serializable {

    /** Serializable version identifier. */
    private static final long serialVersionUID = -1097961340710804027L;

    /** Default format. */
    private static final RealVectorFormat DEFAULT_FORMAT =
        RealVectorFormat.getInstance();

    /** Entries of the vector. */
    protected double data[];

    /**
     * Build a 0-length vector.
     * 

Zero-length vectors may be used to initialized construction of vectors * by data gathering. We start with zero-length and use either the {@link * #ArrayRealVector(ArrayRealVector, ArrayRealVector)} constructor * or one of the append method ({@link #append(double)}, {@link * #append(double[])}, {@link #append(ArrayRealVector)}) to gather data * into this vector.

*/ public ArrayRealVector() { data = new double[0]; } /** * Construct a (size)-length vector of zeros. * @param size size of the vector */ public ArrayRealVector(int size) { data = new double[size]; } /** * Construct an (size)-length vector with preset values. * @param size size of the vector * @param preset fill the vector with this scalar value */ public ArrayRealVector(int size, double preset) { data = new double[size]; Arrays.fill(data, preset); } /** * Construct a vector from an array, copying the input array. * @param d array of doubles. */ public ArrayRealVector(double[] d) { data = d.clone(); } /** * Create a new ArrayRealVector using the input array as the underlying * data array. *

If an array is built specially in order to be embedded in a * ArrayRealVector and not used directly, the copyArray may be * set to false * @param d data for new vector * @param copyArray if true, the input array will be copied, otherwise * it will be referenced * @see #ArrayRealVector(double[]) */ public ArrayRealVector(double[] d, boolean copyArray) { data = copyArray ? d.clone() : d; } /** * Construct a vector from part of a array. * @param d array of doubles. * @param pos position of first entry * @param size number of entries to copy */ public ArrayRealVector(double[] d, int pos, int size) { if (d.length < pos + size) { throw MathRuntimeException.createIllegalArgumentException( LocalizedFormats.POSITION_SIZE_MISMATCH_INPUT_ARRAY, pos, size, d.length); } data = new double[size]; System.arraycopy(d, pos, data, 0, size); } /** * Construct a vector from an array. * @param d array of Doubles. */ public ArrayRealVector(Double[] d) { data = new double[d.length]; for (int i = 0; i < d.length; i++) { data[i] = d[i].doubleValue(); } } /** * Construct a vector from part of a Double array * @param d array of Doubles. * @param pos position of first entry * @param size number of entries to copy */ public ArrayRealVector(Double[] d, int pos, int size) { if (d.length < pos + size) { throw MathRuntimeException.createIllegalArgumentException( LocalizedFormats.POSITION_SIZE_MISMATCH_INPUT_ARRAY, pos, size, d.length); } data = new double[size]; for (int i = pos; i < pos + size; i++) { data[i-pos] = d[i].doubleValue(); } } /** * Construct a vector from another vector, using a deep copy. * @param v vector to copy */ public ArrayRealVector(RealVector v) { data = new double[v.getDimension()]; for (int i = 0; i < data.length; ++i) { data[i] = v.getEntry(i); } } /** * Construct a vector from another vector, using a deep copy. * @param v vector to copy */ public ArrayRealVector(ArrayRealVector v) { this(v, true); } /** * Construct a vector from another vector. * @param v vector to copy * @param deep if true perform a deep copy otherwise perform a shallow copy */ public ArrayRealVector(ArrayRealVector v, boolean deep) { data = deep ? v.data.clone() : v.data; } /** * Construct a vector by appending one vector to another vector. * @param v1 first vector (will be put in front of the new vector) * @param v2 second vector (will be put at back of the new vector) */ public ArrayRealVector(ArrayRealVector v1, ArrayRealVector v2) { data = new double[v1.data.length + v2.data.length]; System.arraycopy(v1.data, 0, data, 0, v1.data.length); System.arraycopy(v2.data, 0, data, v1.data.length, v2.data.length); } /** * Construct a vector by appending one vector to another vector. * @param v1 first vector (will be put in front of the new vector) * @param v2 second vector (will be put at back of the new vector) */ public ArrayRealVector(ArrayRealVector v1, RealVector v2) { final int l1 = v1.data.length; final int l2 = v2.getDimension(); data = new double[l1 + l2]; System.arraycopy(v1.data, 0, data, 0, l1); for (int i = 0; i < l2; ++i) { data[l1 + i] = v2.getEntry(i); } } /** * Construct a vector by appending one vector to another vector. * @param v1 first vector (will be put in front of the new vector) * @param v2 second vector (will be put at back of the new vector) */ public ArrayRealVector(RealVector v1, ArrayRealVector v2) { final int l1 = v1.getDimension(); final int l2 = v2.data.length; data = new double[l1 + l2]; for (int i = 0; i < l1; ++i) { data[i] = v1.getEntry(i); } System.arraycopy(v2.data, 0, data, l1, l2); } /** * Construct a vector by appending one vector to another vector. * @param v1 first vector (will be put in front of the new vector) * @param v2 second vector (will be put at back of the new vector) */ public ArrayRealVector(ArrayRealVector v1, double[] v2) { final int l1 = v1.getDimension(); final int l2 = v2.length; data = new double[l1 + l2]; System.arraycopy(v1.data, 0, data, 0, l1); System.arraycopy(v2, 0, data, l1, l2); } /** * Construct a vector by appending one vector to another vector. * @param v1 first vector (will be put in front of the new vector) * @param v2 second vector (will be put at back of the new vector) */ public ArrayRealVector(double[] v1, ArrayRealVector v2) { final int l1 = v1.length; final int l2 = v2.getDimension(); data = new double[l1 + l2]; System.arraycopy(v1, 0, data, 0, l1); System.arraycopy(v2.data, 0, data, l1, l2); } /** * Construct a vector by appending one vector to another vector. * @param v1 first vector (will be put in front of the new vector) * @param v2 second vector (will be put at back of the new vector) */ public ArrayRealVector(double[] v1, double[] v2) { final int l1 = v1.length; final int l2 = v2.length; data = new double[l1 + l2]; System.arraycopy(v1, 0, data, 0, l1); System.arraycopy(v2, 0, data, l1, l2); } /** {@inheritDoc} */ @Override public AbstractRealVector copy() { return new ArrayRealVector(this, true); } /** {@inheritDoc} */ @Override public RealVector add(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return add((ArrayRealVector) v); } else { checkVectorDimensions(v); double[] out = data.clone(); Iterator it = v.sparseIterator(); Entry e; while (it.hasNext() && (e = it.next()) != null) { out[e.getIndex()] += e.getValue(); } return new ArrayRealVector(out, false); } } /** {@inheritDoc} */ @Override public RealVector add(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double[] out = data.clone(); for (int i = 0; i < data.length; i++) { out[i] += v[i]; } return new ArrayRealVector(out, false); } /** * Compute the sum of this and v. * @param v vector to be added * @return this + v * @throws IllegalArgumentException if v is not the same size as this */ public ArrayRealVector add(ArrayRealVector v) throws IllegalArgumentException { return (ArrayRealVector) add(v.data); } /** {@inheritDoc} */ @Override public RealVector subtract(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return subtract((ArrayRealVector) v); } else { checkVectorDimensions(v); double[] out = data.clone(); Iterator it = v.sparseIterator(); Entry e; while(it.hasNext() && (e = it.next()) != null) { out[e.getIndex()] -= e.getValue(); } return new ArrayRealVector(out, false); } } /** {@inheritDoc} */ @Override public RealVector subtract(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double[] out = data.clone(); for (int i = 0; i < data.length; i++) { out[i] -= v[i]; } return new ArrayRealVector(out, false); } /** * Compute this minus v. * @param v vector to be subtracted * @return this + v * @throws IllegalArgumentException if v is not the same size as this */ public ArrayRealVector subtract(ArrayRealVector v) throws IllegalArgumentException { return (ArrayRealVector) subtract(v.data); } /** {@inheritDoc} */ @Override public RealVector mapAddToSelf(double d) { for (int i = 0; i < data.length; i++) { data[i] = data[i] + d; } return this; } /** {@inheritDoc} */ @Override public RealVector mapSubtractToSelf(double d) { for (int i = 0; i < data.length; i++) { data[i] = data[i] - d; } return this; } /** {@inheritDoc} */ @Override public RealVector mapMultiplyToSelf(double d) { for (int i = 0; i < data.length; i++) { data[i] = data[i] * d; } return this; } /** {@inheritDoc} */ @Override public RealVector mapDivideToSelf(double d) { for (int i = 0; i < data.length; i++) { data[i] = data[i] / d; } return this; } /** {@inheritDoc} */ @Override public RealVector mapPowToSelf(double d) { for (int i = 0; i < data.length; i++) { data[i] = FastMath.pow(data[i], d); } return this; } /** {@inheritDoc} */ @Override public RealVector mapExpToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.exp(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapExpm1ToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.expm1(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapLogToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.log(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapLog10ToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.log10(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapLog1pToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.log1p(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapCoshToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.cosh(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapSinhToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.sinh(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapTanhToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.tanh(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapCosToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.cos(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapSinToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.sin(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapTanToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.tan(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapAcosToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.acos(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapAsinToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.asin(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapAtanToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.atan(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapInvToSelf() { for (int i = 0; i < data.length; i++) { data[i] = 1.0 / data[i]; } return this; } /** {@inheritDoc} */ @Override public RealVector mapAbsToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.abs(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapSqrtToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.sqrt(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapCbrtToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.cbrt(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapCeilToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.ceil(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapFloorToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.floor(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapRintToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.rint(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapSignumToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.signum(data[i]); } return this; } /** {@inheritDoc} */ @Override public RealVector mapUlpToSelf() { for (int i = 0; i < data.length; i++) { data[i] = FastMath.ulp(data[i]); } return this; } /** {@inheritDoc} */ public RealVector ebeMultiply(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return ebeMultiply((ArrayRealVector) v); } else { checkVectorDimensions(v); double[] out = data.clone(); for (int i = 0; i < data.length; i++) { out[i] *= v.getEntry(i); } return new ArrayRealVector(out, false); } } /** {@inheritDoc} */ @Override public RealVector ebeMultiply(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double[] out = data.clone(); for (int i = 0; i < data.length; i++) { out[i] *= v[i]; } return new ArrayRealVector(out, false); } /** * Element-by-element multiplication. * @param v vector by which instance elements must be multiplied * @return a vector containing this[i] * v[i] for all i * @exception IllegalArgumentException if v is not the same size as this */ public ArrayRealVector ebeMultiply(ArrayRealVector v) throws IllegalArgumentException { return (ArrayRealVector) ebeMultiply(v.data); } /** {@inheritDoc} */ public RealVector ebeDivide(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return ebeDivide((ArrayRealVector) v); } else { checkVectorDimensions(v); double[] out = data.clone(); for (int i = 0; i < data.length; i++) { out[i] /= v.getEntry(i); } return new ArrayRealVector(out, false); } } /** {@inheritDoc} */ @Override public RealVector ebeDivide(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double[] out = data.clone(); for (int i = 0; i < data.length; i++) { out[i] /= v[i]; } return new ArrayRealVector(out, false); } /** * Element-by-element division. * @param v vector by which instance elements must be divided * @return a vector containing this[i] / v[i] for all i * @throws IllegalArgumentException if v is not the same size as this */ public ArrayRealVector ebeDivide(ArrayRealVector v) throws IllegalArgumentException { return (ArrayRealVector) ebeDivide(v.data); } /** {@inheritDoc} */ @Override public double[] getData() { return data.clone(); } /** * Returns a reference to the underlying data array. *

Does not make a fresh copy of the underlying data.

* @return array of entries */ public double[] getDataRef() { return data; } /** {@inheritDoc} */ @Override public double dotProduct(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return dotProduct((ArrayRealVector) v); } else { checkVectorDimensions(v); double dot = 0; Iterator it = v.sparseIterator(); Entry e; while(it.hasNext() && (e = it.next()) != null) { dot += data[e.getIndex()] * e.getValue(); } return dot; } } /** {@inheritDoc} */ @Override public double dotProduct(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double dot = 0; for (int i = 0; i < data.length; i++) { dot += data[i] * v[i]; } return dot; } /** * Compute the dot product. * @param v vector with which dot product should be computed * @return the scalar dot product between instance and v * @exception IllegalArgumentException if v is not the same size as this */ public double dotProduct(ArrayRealVector v) throws IllegalArgumentException { return dotProduct(v.data); } /** {@inheritDoc} */ @Override public double getNorm() { double sum = 0; for (double a : data) { sum += a * a; } return FastMath.sqrt(sum); } /** {@inheritDoc} */ @Override public double getL1Norm() { double sum = 0; for (double a : data) { sum += FastMath.abs(a); } return sum; } /** {@inheritDoc} */ @Override public double getLInfNorm() { double max = 0; for (double a : data) { max = FastMath.max(max, FastMath.abs(a)); } return max; } /** {@inheritDoc} */ @Override public double getDistance(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return getDistance((ArrayRealVector) v); } else { checkVectorDimensions(v); double sum = 0; for (int i = 0; i < data.length; ++i) { final double delta = data[i] - v.getEntry(i); sum += delta * delta; } return FastMath.sqrt(sum); } } /** {@inheritDoc} */ @Override public double getDistance(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double sum = 0; for (int i = 0; i < data.length; ++i) { final double delta = data[i] - v[i]; sum += delta * delta; } return FastMath.sqrt(sum); } /** * Distance between two vectors. *

This method computes the distance consistent with the * L2 norm, i.e. the square root of the sum of * elements differences, or euclidian distance.

* @param v vector to which distance is requested * @return distance between two vectors. * @exception IllegalArgumentException if v is not the same size as this * @see #getDistance(RealVector) * @see #getL1Distance(ArrayRealVector) * @see #getLInfDistance(ArrayRealVector) * @see #getNorm() */ public double getDistance(ArrayRealVector v) throws IllegalArgumentException { return getDistance(v.data); } /** {@inheritDoc} */ @Override public double getL1Distance(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return getL1Distance((ArrayRealVector) v); } else { checkVectorDimensions(v); double sum = 0; for (int i = 0; i < data.length; ++i) { final double delta = data[i] - v.getEntry(i); sum += FastMath.abs(delta); } return sum; } } /** {@inheritDoc} */ @Override public double getL1Distance(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double sum = 0; for (int i = 0; i < data.length; ++i) { final double delta = data[i] - v[i]; sum += FastMath.abs(delta); } return sum; } /** * Distance between two vectors. *

This method computes the distance consistent with * L1 norm, i.e. the sum of the absolute values of * elements differences.

* @param v vector to which distance is requested * @return distance between two vectors. * @exception IllegalArgumentException if v is not the same size as this * @see #getDistance(RealVector) * @see #getL1Distance(ArrayRealVector) * @see #getLInfDistance(ArrayRealVector) * @see #getNorm() */ public double getL1Distance(ArrayRealVector v) throws IllegalArgumentException { return getL1Distance(v.data); } /** {@inheritDoc} */ @Override public double getLInfDistance(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return getLInfDistance((ArrayRealVector) v); } else { checkVectorDimensions(v); double max = 0; for (int i = 0; i < data.length; ++i) { final double delta = data[i] - v.getEntry(i); max = FastMath.max(max, FastMath.abs(delta)); } return max; } } /** {@inheritDoc} */ @Override public double getLInfDistance(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); double max = 0; for (int i = 0; i < data.length; ++i) { final double delta = data[i] - v[i]; max = FastMath.max(max, FastMath.abs(delta)); } return max; } /** * Distance between two vectors. *

This method computes the distance consistent with * L norm, i.e. the max of the absolute values of * elements differences.

* @param v vector to which distance is requested * @return distance between two vectors. * @exception IllegalArgumentException if v is not the same size as this * @see #getDistance(RealVector) * @see #getL1Distance(ArrayRealVector) * @see #getLInfDistance(ArrayRealVector) * @see #getNorm() */ public double getLInfDistance(ArrayRealVector v) throws IllegalArgumentException { return getLInfDistance(v.data); } /** {@inheritDoc} */ @Override public RealVector unitVector() throws ArithmeticException { final double norm = getNorm(); if (norm == 0) { throw MathRuntimeException.createArithmeticException(LocalizedFormats.ZERO_NORM); } return mapDivide(norm); } /** {@inheritDoc} */ @Override public void unitize() throws ArithmeticException { final double norm = getNorm(); if (norm == 0) { throw MathRuntimeException.createArithmeticException(LocalizedFormats.CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR); } mapDivideToSelf(norm); } /** {@inheritDoc} */ public RealVector projection(RealVector v) { return v.mapMultiply(dotProduct(v) / v.dotProduct(v)); } /** {@inheritDoc} */ @Override public RealVector projection(double[] v) { return projection(new ArrayRealVector(v, false)); } /** Find the orthogonal projection of this vector onto another vector. * @param v vector onto which instance must be projected * @return projection of the instance onto v * @throws IllegalArgumentException if v is not the same size as this */ public ArrayRealVector projection(ArrayRealVector v) { return (ArrayRealVector) v.mapMultiply(dotProduct(v) / v.dotProduct(v)); } /** {@inheritDoc} */ @Override public RealMatrix outerProduct(RealVector v) throws IllegalArgumentException { if (v instanceof ArrayRealVector) { return outerProduct((ArrayRealVector) v); } else { checkVectorDimensions(v); final int m = data.length; final RealMatrix out = MatrixUtils.createRealMatrix(m, m); for (int i = 0; i < data.length; i++) { for (int j = 0; j < data.length; j++) { out.setEntry(i, j, data[i] * v.getEntry(j)); } } return out; } } /** * Compute the outer product. * @param v vector with which outer product should be computed * @return the square matrix outer product between instance and v * @exception IllegalArgumentException if v is not the same size as this */ public RealMatrix outerProduct(ArrayRealVector v) throws IllegalArgumentException { return outerProduct(v.data); } /** {@inheritDoc} */ @Override public RealMatrix outerProduct(double[] v) throws IllegalArgumentException { checkVectorDimensions(v.length); final int m = data.length; final RealMatrix out = MatrixUtils.createRealMatrix(m, m); for (int i = 0; i < data.length; i++) { for (int j = 0; j < data.length; j++) { out.setEntry(i, j, data[i] * v[j]); } } return out; } /** {@inheritDoc} */ public double getEntry(int index) throws MatrixIndexException { return data[index]; } /** {@inheritDoc} */ public int getDimension() { return data.length; } /** {@inheritDoc} */ public RealVector append(RealVector v) { try { return new ArrayRealVector(this, (ArrayRealVector) v); } catch (ClassCastException cce) { return new ArrayRealVector(this, v); } } /** * Construct a vector by appending a vector to this vector. * @param v vector to append to this one. * @return a new vector */ public ArrayRealVector append(ArrayRealVector v) { return new ArrayRealVector(this, v); } /** {@inheritDoc} */ public RealVector append(double in) { final double[] out = new double[data.length + 1]; System.arraycopy(data, 0, out, 0, data.length); out[data.length] = in; return new ArrayRealVector(out, false); } /** {@inheritDoc} */ public RealVector append(double[] in) { return new ArrayRealVector(this, in); } /** {@inheritDoc} */ public RealVector getSubVector(int index, int n) { ArrayRealVector out = new ArrayRealVector(n); try { System.arraycopy(data, index, out.data, 0, n); } catch (IndexOutOfBoundsException e) { checkIndex(index); checkIndex(index + n - 1); } return out; } /** {@inheritDoc} */ public void setEntry(int index, double value) { try { data[index] = value; } catch (IndexOutOfBoundsException e) { checkIndex(index); } } /** {@inheritDoc} */ @Override public void setSubVector(int index, RealVector v) { try { try { set(index, (ArrayRealVector) v); } catch (ClassCastException cce) { for (int i = index; i < index + v.getDimension(); ++i) { data[i] = v.getEntry(i-index); } } } catch (IndexOutOfBoundsException e) { checkIndex(index); checkIndex(index + v.getDimension() - 1); } } /** {@inheritDoc} */ @Override public void setSubVector(int index, double[] v) { try { System.arraycopy(v, 0, data, index, v.length); } catch (IndexOutOfBoundsException e) { checkIndex(index); checkIndex(index + v.length - 1); } } /** * Set a set of consecutive elements. * * @param index index of first element to be set. * @param v vector containing the values to set. * @exception MatrixIndexException if the index is * inconsistent with vector size */ public void set(int index, ArrayRealVector v) throws MatrixIndexException { setSubVector(index, v.data); } /** {@inheritDoc} */ @Override public void set(double value) { Arrays.fill(data, value); } /** {@inheritDoc} */ @Override public double[] toArray(){ return data.clone(); } /** {@inheritDoc} */ @Override public String toString(){ return DEFAULT_FORMAT.format(this); } /** * Check if instance and specified vectors have the same dimension. * @param v vector to compare instance with * @exception IllegalArgumentException if the vectors do not * have the same dimension */ @Override protected void checkVectorDimensions(RealVector v) throws IllegalArgumentException { checkVectorDimensions(v.getDimension()); } /** * Check if instance dimension is equal to some expected value. * * @param n expected dimension. * @exception IllegalArgumentException if the dimension is * inconsistent with vector size */ @Override protected void checkVectorDimensions(int n) throws IllegalArgumentException { if (data.length != n) { throw MathRuntimeException.createIllegalArgumentException( LocalizedFormats.VECTOR_LENGTH_MISMATCH, data.length, n); } } /** * Returns true if any coordinate of this vector is NaN; false otherwise * @return true if any coordinate of this vector is NaN; false otherwise */ public boolean isNaN() { for (double v : data) { if (Double.isNaN(v)) { return true; } } return false; } /** * Returns true if any coordinate of this vector is infinite and none are NaN; * false otherwise * @return true if any coordinate of this vector is infinite and none are NaN; * false otherwise */ public boolean isInfinite() { if (isNaN()) { return false; } for (double v : data) { if (Double.isInfinite(v)) { return true; } } return false; } /** * Test for the equality of two real vectors. *

* If all coordinates of two real vectors are exactly the same, and none are * Double.NaN, the two real vectors are considered to be equal. *

*

* NaN coordinates are considered to affect globally the vector * and be equals to each other - i.e, if either (or all) coordinates of the * real vector are equal to Double.NaN, the real vector is equal to * a vector with all Double.NaN coordinates. *

* * @param other Object to test for equality to this * @return true if two vector objects are equal, false if * object is null, not an instance of RealVector, or * not equal to this RealVector instance * */ @Override public boolean equals(Object other) { if (this == other) { return true; } if (other == null || !(other instanceof RealVector)) { return false; } RealVector rhs = (RealVector) other; if (data.length != rhs.getDimension()) { return false; } if (rhs.isNaN()) { return this.isNaN(); } for (int i = 0; i < data.length; ++i) { if (data[i] != rhs.getEntry(i)) { return false; } } return true; } /** * Get a hashCode for the real vector. *

All NaN values have the same hash code.

* @return a hash code value for this object */ @Override public int hashCode() { if (isNaN()) { return 9; } return MathUtils.hash(data); } }




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