| /* |
| * 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.geometry.euclidean; |
| |
| /** Base class for affine transform matrices in Euclidean space. |
| * |
| * @param <V> Vector/point implementation type defining the space. |
| */ |
| public abstract class AbstractAffineTransformMatrix<V extends EuclideanVector<V>> |
| implements EuclideanTransform<V> { |
| |
| /** Apply this transform to the given vector, ignoring translations and normalizing the |
| * result. This is equivalent to {@code transform.applyVector(vec).normalize()} but without |
| * the intermediate vector instance. |
| * |
| * @param vec the vector to transform |
| * @return the new, transformed unit vector |
| * @throws org.apache.commons.geometry.core.exception.IllegalNormException if the transformed vector coordinates |
| * cannot be normalized |
| * @see #applyVector(EuclideanVector) |
| */ |
| public abstract V applyDirection(V vec); |
| |
| /** Get the determinant of the matrix. |
| * @return the determinant of the matrix |
| */ |
| public abstract double determinant(); |
| |
| /** {@inheritDoc} |
| * |
| * <p>This method returns true if the determinant of the matrix is positive.</p> |
| */ |
| @Override |
| public boolean preservesOrientation() { |
| return determinant() > 0.0; |
| } |
| } |