/* * 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(); } } }