/*
* Copyright 2010 VoidSearch.com
*
* Licensed 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 com.voidsearch.voidbase.quant.vector;
import com.voidsearch.voidbase.quant.matrix.VoidMatrix;
import org.testng.annotations.Test;
public class VoidVectorTest {
@Test
public void nullTest() {
try {
System.out.println("\nX : \n");
VoidVector vector = new SparseRandomVector(8, 0.9);
System.out.println(vector.render());
System.out.println("\nX' : \n");
VoidVector transposed = vector.transpose();
System.out.println(transposed.render());
System.out.println("\n(X*X') : \n");
VoidMatrix result = vector.multiply(transposed);
System.out.println(result.render());
System.out.println("\n(X*X')^{-1} : \n");
VoidMatrix resultInverted = result.transpose();
System.out.println(resultInverted.render());
System.out.println("\n(x*X')^{-1} * X' : \n");
VoidVector finalResult = resultInverted.multiply(transposed);
System.out.println(finalResult.render());
System.out.println();
} catch (Exception e) {
e.printStackTrace();
}
}
}