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1   package org.djunits.value.vdouble.matrix.base;
2   
3   import org.djunits.unit.SIUnit;
4   import org.djunits.unit.Unit;
5   import org.djunits.unit.util.UnitException;
6   import org.djunits.value.Relative;
7   import org.djunits.value.ValueRuntimeException;
8   import org.djunits.value.base.Matrix;
9   import org.djunits.value.vdouble.function.DoubleMathFunctions;
10  import org.djunits.value.vdouble.matrix.SIMatrix;
11  import org.djunits.value.vdouble.matrix.data.DoubleMatrixData;
12  import org.djunits.value.vdouble.scalar.base.AbstractDoubleScalar;
13  import org.djunits.value.vdouble.scalar.base.AbstractDoubleScalarRel;
14  import org.djunits.value.vdouble.vector.base.AbstractDoubleVector;
15  import org.djunits.value.vdouble.vector.base.AbstractDoubleVectorRel;
16  
17  /**
18   * AbstractDoubleMatrixRel.java.
19   * <p>
20   * Copyright (c) 2019-2019 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
21   * BSD-style license. See <a href="https://djunits.org/docs/license.html">DJUNITS License</a>.
22   * <p>
23   * @author <a href="https://www.tudelft.nl/averbraeck" target="_blank">Alexander Verbraeck</a>
24   * @param <U> the unit
25   * @param <S> the scalar type belonging to the matrix type
26   * @param <RV> the relative vector type belonging to the relative matrix type
27   * @param <RM> the relative matrix type with this unit
28   */
29  public abstract class AbstractDoubleMatrixRel<U extends Unit<U>, S extends AbstractDoubleScalarRel<U, S>,
30          RV extends AbstractDoubleVectorRel<U, S, RV>, RM extends AbstractDoubleMatrixRel<U, S, RV, RM>>
31          extends AbstractDoubleMatrix<U, S, RV, RM> implements Matrix.Rel<U, S, RV, RM>, Relative<U, RM>
32  {
33      /** */
34      private static final long serialVersionUID = 20190908L;
35  
36      /**
37       * Construct a new Relative Mutable DoubleMatrix.
38       * @param data DoubleMatrixData; an internal data object
39       * @param unit U; the unit
40       */
41      protected AbstractDoubleMatrixRel(final DoubleMatrixData data, final U unit)
42      {
43          super(data.copy(), unit);
44      }
45  
46      /**
47       * Compute the sum of all SI values of this matrix.
48       * @return S; the sum of all SI values of this matrix with the same display unit as this matrix
49       */
50      public final S zSum()
51      {
52          return instantiateScalarSI(this.data.zSum(), getDisplayUnit());
53      }
54  
55      /** {@inheritDoc} */
56      @Override
57      public final RM plus(final RM rel) throws ValueRuntimeException
58      {
59          return instantiateMatrix(this.getData().plus(rel.getData()), getDisplayUnit());
60      }
61  
62      /** {@inheritDoc} */
63      @Override
64      public final RM minus(final RM rel) throws ValueRuntimeException
65      {
66          return instantiateMatrix(this.getData().minus(rel.getData()), getDisplayUnit());
67      }
68  
69      /**
70       * Increment all values of this matrix by the increment. This only works if this matrix is mutable.
71       * @param increment S; the scalar by which to increment all values
72       * @return RM; this modified matrix
73       * @throws ValueRuntimeException in case this matrix is immutable
74       */
75      @SuppressWarnings("unchecked")
76      public RM incrementBy(final S increment)
77      {
78          checkCopyOnWrite();
79          assign(DoubleMathFunctions.INC(increment.si));
80          return (RM) this;
81      }
82  
83      /**
84       * Increment all values of this matrix by the increment on a value by value basis. This only works if this matrix is
85       * mutable.
86       * @param increment RM; the matrix that contains the values by which to increment the corresponding values
87       * @return RM; this modified matrix
88       * @throws ValueRuntimeException in case this matrix is immutable
89       * @throws ValueRuntimeException when the sizes of the matrices differ, or <code>increment</code> is null
90       */
91      @SuppressWarnings("unchecked")
92      public RM incrementBy(final RM increment)
93      {
94          checkCopyOnWrite();
95          this.data.incrementBy(increment.getData());
96          return (RM) this;
97      }
98  
99      /**
100      * Decrement all values of this matrix by the decrement. This only works if this matrix is mutable.
101      * @param decrement S; the scalar by which to decrement all values
102      * @return RM; this modified matrix
103      * @throws ValueRuntimeException in case this matrix is immutable
104      */
105     @SuppressWarnings("unchecked")
106     public RM decrementBy(final S decrement)
107     {
108         checkCopyOnWrite();
109         assign(DoubleMathFunctions.DEC(decrement.si));
110         return (RM) this;
111     }
112 
113     /**
114      * Decrement this Relative matrix by another Relative matrix. The operation is done value by value. This is only allowed if
115      * this matrix is mutable.
116      * @param decrement RM; the matrix that contains the values by which to decrement the corresponding values
117      * @return RM; this modified matrix
118      * @throws ValueRuntimeException in case this matrix is immutable
119      * @throws ValueRuntimeException when the sizes of the matrices differ, or <code>decrement</code> is null
120      */
121     @SuppressWarnings("unchecked")
122     public final RM decrementBy(final RM decrement)
123     {
124         checkCopyOnWrite();
125         this.data.decrementBy(decrement.getData());
126         return (RM) this;
127     }
128 
129     /**
130      * Multiply a Relative value with this Relative value for a matrix or matrix. The multiplication is done value by value and
131      * store the result in a new Relative value. If both operands are dense, the result is a dense matrix or matrix, otherwise
132      * the result is a sparse matrix or matrix.
133      * @param rel VT; the right operand, which can be any matrix type
134      * @return SIMatrix; the multiplication of this matrix and the operand
135      * @throws ValueRuntimeException in case this matrix or matrix and the operand have a different size
136      * @throws UnitException on unit error
137      * @param <UT> the unit type of the multiplier
138      * @param <ST> the scalar type of the multiplier
139      * @param <VT> the vector type of the multiplier
140      * @param <MT> the matrix type of the multiplier
141      */
142     public final <UT extends Unit<UT>, ST extends AbstractDoubleScalar<UT, ST>, VT extends AbstractDoubleVector<UT, ST, VT>,
143             MT extends AbstractDoubleMatrix<UT, ST, VT, MT> & Relative<UT, MT>> SIMatrix times(final MT rel)
144                     throws ValueRuntimeException, UnitException
145     {
146         return new SIMatrix(this.getData().times(rel.getData()), SIUnit.of(
147                 getDisplayUnit().getQuantity().getSiDimensions().plus(rel.getDisplayUnit().getQuantity().getSiDimensions())));
148     }
149 
150     /** {@inheritDoc} */
151     @Override
152     public final RM times(final double multiplier)
153     {
154         RM result = clone().mutable();
155         result.assign(DoubleMathFunctions.MULT(multiplier));
156         return result.immutable();
157     }
158 
159     /** {@inheritDoc} */
160     @Override
161     public final RM times(final float multiplier)
162     {
163         return times((double) multiplier);
164     }
165 
166     /** {@inheritDoc} */
167     @Override
168     public final RM multiplyBy(final double multiplier)
169     {
170         return assign(DoubleMathFunctions.MULT(multiplier));
171     }
172 
173     /**
174      * Divide this Relative matrix by another Relative matrix. The operation is done value by value and store the result is
175      * stored in a new Relative matrix. If both operands are dense, the result is a dense matrix, otherwise the result is a
176      * sparse matrix. TODO discuss dense or sparseness of result.
177      * @param rel VT; the right operand, which can be any matrix type
178      * @return SIMatrix; the division of this matrix and the operand
179      * @throws ValueRuntimeException in case this matrix or matrix and the operand have a different size
180      * @throws UnitException on unit error
181      * @param <UT> the unit type of the multiplier
182      * @param <ST> the scalar type of the multiplier
183      * @param <VT> the vector type of the multiplier
184      * @param <MT> the matrix type of the multiplier
185      */
186     public final <UT extends Unit<UT>, ST extends AbstractDoubleScalar<UT, ST>, VT extends AbstractDoubleVector<UT, ST, VT>,
187     MT extends AbstractDoubleMatrix<UT, ST, VT, MT> & Relative<UT, MT>> SIMatrix divide(final MT rel)
188             throws ValueRuntimeException, UnitException
189     {
190         return new SIMatrix(this.getData().divide(rel.getData()), SIUnit.of(
191                 getDisplayUnit().getQuantity().getSiDimensions().minus(rel.getDisplayUnit().getQuantity().getSiDimensions())));
192     }
193 
194     /** {@inheritDoc} */
195     @Override
196     public final RM divide(final float divisor)
197     {
198         return divide((double) divisor);
199     }
200 
201     /** {@inheritDoc} */
202     @Override
203     public final RM divide(final double divisor)
204     {
205         RM result = clone().mutable();
206         result.assign(DoubleMathFunctions.DIV(divisor));
207         return result.immutable();
208     }
209 
210     /** {@inheritDoc} */
211     @Override
212     public final RM divideBy(final double divisor)
213     {
214         return assign(DoubleMathFunctions.DIV(divisor));
215     }
216 
217 }