2 * Jalview - A Sequence Alignment Editor and Viewer ($$Version-Rel$$)
3 * Copyright (C) $$Year-Rel$$ The Jalview Authors
5 * This file is part of Jalview.
7 * Jalview is free software: you can redistribute it and/or
8 * modify it under the terms of the GNU General Public License
9 * as published by the Free Software Foundation, either version 3
10 * of the License, or (at your option) any later version.
12 * Jalview is distributed in the hope that it will be useful, but
13 * WITHOUT ANY WARRANTY; without even the implied warranty
14 * of MERCHANTABILITY or FITNESS FOR A PARTICULAR
15 * PURPOSE. See the GNU General Public License for more details.
17 * You should have received a copy of the GNU General Public License
18 * along with Jalview. If not, see <http://www.gnu.org/licenses/>.
19 * The Jalview Authors are detailed in the 'AUTHORS' file.
23 import java.io.PrintStream;
26 * An interface that describes a rectangular matrix of double values and
29 public interface MatrixI
32 * Answers the number of columns
39 * Answers the number of rows
46 * Answers the value at row i, column j
52 double getValue(int i, int j);
55 * Sets the value at row i, column j
61 void setValue(int i, int j, double d);
64 * Answers a copy of the values in the i'th row
68 double[] getRow(int i);
71 * Answers a new matrix with a copy of the values in this one
78 * Answers all values present in the Matrix ordered by row,column
80 * @return the double array containing the values ordered in {row values} per
83 double[][] getValues();
86 * Returns a new matrix which is the transpose of this one
93 * Returns a new matrix which is the result of premultiplying this matrix by
94 * the supplied argument. If this of size AxB (A rows and B columns), and the
95 * argument is CxA (C rows and A columns), the result is of size CxB.
100 * @throws IllegalArgumentException
101 * if the number of columns in the pre-multiplier is not equal to
102 * the number of rows in the multiplicand (this)
104 MatrixI preMultiply(MatrixI m);
107 * Returns a new matrix which is the result of postmultiplying this matrix by
108 * the supplied argument. If this of size AxB (A rows and B columns), and the
109 * argument is BxC (B rows and C columns), the result is of size AxC.
111 * This method simply returns the result of in.preMultiply(this)
116 * @throws IllegalArgumentException
117 * if the number of rows in the post-multiplier is not equal to the
118 * number of columns in the multiplicand (this)
119 * @see #preMultiply(Matrix)
121 MatrixI postMultiply(MatrixI m);
127 void setD(double[] v);
129 void setE(double[] v);
131 void print(PrintStream ps, String format);
133 void printD(PrintStream ps, String format);
135 void printE(PrintStream ps, String format);
137 void tqli() throws Exception;
142 * Reverses the range of the matrix values, so that the smallest values become
143 * the largest, and the largest become the smallest. This operation supports
144 * using a distance measure as a similarity measure, or vice versa.
146 * If parameter <code>maxToZero</code> is true, then the maximum value becomes
147 * zero, i.e. all values are subtracted from the maximum. This is consistent
148 * with converting an identity similarity score to a distance score - the most
149 * similar (identity) corresponds to zero distance. However note that the
150 * operation is not reversible (unless the original minimum value is zero).
151 * For example a range of 10-40 would become 30-0, which would reverse a
152 * second time to 0-30. Also note that a general similarity measure (such as
153 * BLOSUM) may give different 'identity' scores for different sequences, so
154 * they cannot all convert to zero distance.
156 * If parameter <code>maxToZero</code> is false, then the values are reflected
157 * about the average of {min, max} (effectively swapping min and max). This
158 * operation <em>is</em> reversible.
162 void reverseRange(boolean maxToZero);
165 * Multiply all entries by the given value
169 void multiply(double d);
172 * Answers true if the two matrices have the same dimensions, and
173 * corresponding values all differ by no more than delta (which should be a
174 * positive value), else false
180 boolean equals(MatrixI m2, double delta);