210 lines
5.2 KiB
Java
210 lines
5.2 KiB
Java
/*
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* @author: cdehais
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*/
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package algebra;
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public class Matrix {
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protected Matrix() {
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}
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protected Matrix(String name) {
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this.name = name;
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}
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/**
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* Creates a named Matrix of size nRows x nCols.
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*/
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public Matrix(String name, int nRows, int nCols) throws java.lang.InstantiationException {
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this(nRows, nCols);
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this.name = name;
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}
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/**
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* Creates a Matrix of size nRows x nCols.
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*/
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public Matrix(int nRows, int nCols) throws java.lang.InstantiationException {
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allocValues(nRows, nCols);
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}
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/**
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* Creates an identity matrix of size @size
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*/
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public static Matrix createIdentity(int size) throws java.lang.InstantiationException {
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Matrix id = new Matrix(size, size);
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for (int i = 0; i < size; i++) {
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id.values[size * i + i] = 1.0;
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}
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id.name = "I" + size;
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return id;
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}
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/**
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* Extracts a submatrix of size nRows x nCols with top left corner at
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* (offsetRow, offsetCol)
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*/
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public Matrix getSubMatrix(int offsetRow, int offsetCol, int nRows, int nCols)
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throws InstantiationException {
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if ((offsetRow < 0) || (offsetCol < 0) || (nRows < 1) || (nCols < 1) ||
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(offsetRow + nRows > this.nRows) || (offsetCol + nCols > this.nCols)) {
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throw new InstantiationException("Invalid submatrix");
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}
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Matrix sub = new Matrix(nRows, nCols);
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for (int i = 0; i < nRows; i++) {
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for (int j = 0; j < nCols; j++) {
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sub.set(i, j, this.get(offsetRow + i, offsetCol + j));
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}
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}
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return sub;
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}
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/**
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* Transposes the square Matrix.
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*/
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public Matrix transpose() {
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Matrix trans;
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try {
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trans = new Matrix(this.nCols, this.nRows);
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} catch (java.lang.InstantiationException e) {
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/* unreached */
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return null;
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}
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for (int i = 0; i < nCols; i++) {
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for (int j = i + 1; j < nRows; j++) {
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trans.values[i * nCols + j] = this.values[j * nCols + i];
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trans.values[j * nCols + i] = this.values[i * nCols + j];
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}
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}
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return trans;
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}
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/**
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* Matrix/Matrix multiplication
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*/
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public Matrix multiply(Matrix M) throws SizeMismatchException {
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if (nCols != M.nRows) {
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throw new SizeMismatchException(this, M);
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}
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Matrix R;
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try {
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R = new Matrix(this.nRows, M.nCols);
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} catch (java.lang.InstantiationException e) {
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/* unreached */
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return null;
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}
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for (int i = 0; i < R.nRows; i++) {
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for (int j = 0; j < R.nCols; j++) {
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for (int k = 0; k < this.nCols; k++) {
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R.values[i * R.nCols + j] += this.values[i * nCols + k] * M.values[k * nRows + j];
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}
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}
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}
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return R;
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}
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/**
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* Matrix/vector multiplication
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*/
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public Vector multiply(Vector v) throws SizeMismatchException {
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if (nCols != v.size()) {
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throw new SizeMismatchException(this, v);
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}
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Vector u = null;
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try {
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u = new Vector(nRows);
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} catch (java.lang.InstantiationException e) {
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/* unreached */
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}
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for (int i = 0; i < u.size(); i++) {
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double e = 0.0;
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for (int k = 0; k < this.nCols; k++) {
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e += values[i * nCols + k] * v.get(k);
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}
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u.set(i, e);
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}
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return u;
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}
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/**
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* Sets the element on row @i and column @j to the given value @value.
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*/
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public void set(int i, int j, double value) {
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values[i * nCols + j] = value;
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}
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/**
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* Gets the element on row @i and column @j.
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*/
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public double get(int i, int j) {
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return values[i * nCols + j];
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}
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/**
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* Sets the matrix name
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*/
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public void setName(String name) {
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this.name = name;
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}
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/**
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* Returns a Matlab compatible representation of the Matrix.
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*/
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public String toString() {
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String repr = name + " = [";
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int spacing = repr.length();
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for (int i = 0; i < nRows; i++) {
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if (i > 0) {
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for (int j = 0; j < spacing; j++) {
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repr += " ";
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}
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}
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for (int j = 0; j < nCols; j++) {
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repr += values[nCols * i + j] + " ";
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}
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repr += ";\n";
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}
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repr += "];";
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return repr;
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}
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protected void allocValues(int nRows, int nCols) throws java.lang.InstantiationException {
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int size = nRows * nCols;
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if (size < 1) {
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throw new java.lang.InstantiationException("Both matrix dimensions must be strictly positive");
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}
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this.values = new double[size];
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this.nRows = nRows;
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this.nCols = nCols;
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}
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public String getName() {
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return name;
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}
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public int nRows() {
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return nRows;
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}
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public int nCols() {
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return nCols;
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}
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public String name = "M";
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protected double values[];
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private int nRows;
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private int nCols;
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}
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