WebSVN – gelsvn – Diff – /trunk/src/CGLA/ArithMatFloat.h



  This template should be used through inheritance just like the 
  vector template */
  template <class VVT, class HVT, class MT, int ROWS>
    class ArithMatFloat
    { 
 
 
    public:
 
      /// Horizontal vector type
      typedef HVT HVectorType;
 

 
      /// Construct 0 matrix
      ArithMatFloat() 
	{
#ifndef NDEBUG
	  std::fill_n(data, ROWS, HVT(CGLA_INIT_VALUE));
#endif
	}
 
      /// Construct a matrix where all entries are the same.
      explicit ArithMatFloat(ScalarType x)
	{
	  std::fill_n(data, ROWS, HVT(x));
	}
 
      /// Construct a matrix where all rows are the same.
      explicit ArithMatFloat(HVT _a)
	{
	  std::fill_n(data, ROWS, _a);
	}
 
 
      /// Construct a matrix with two rows.
      ArithMatFloat(HVT _a, HVT _b)
	{
	  assert(ROWS==2);
	  data[0] = _a;

      //----------------------------------------------------------------------
 
      /// Equality operator. 
      bool operator==(const MT& v) const 
	{
	  return std::inner_product(data, &data[ROWS], &v[0], true,
				    std::logical_and<bool>(), std::equal_to<HVT>());
	}
 
      /// Inequality operator.
      bool operator!=(const MT& v) const 
	{

 
      /// Multiply scalar onto matrix. All entries are multiplied by scalar.
      const MT operator * (ScalarType k) const
	{
	  MT v_new;
	  std::transform(data, &data[ROWS], &v_new[0], std::bind2nd(std::multiplies<HVT>(), k));
	  return v_new;
	}
 
      /// Divide all entries in matrix by scalar.
      const MT operator / (ScalarType k) const
	{
	  MT v_new;
	  std::transform(data, &data[ROWS], &v_new[0], std::bind2nd(std::divides<HVT>(), k));
	  return v_new;      
	}
 
      /// Assignment multiplication of matrix by scalar.
      const MT& operator *=(ScalarType k) 
	{
	  std::transform(data, &data[ROWS], data, std::bind2nd(std::multiplies<HVT>(), k));
	  return static_cast<const MT&>(*this);
	}
 
      /// Assignment division of matrix by scalar.
      const MT& operator /=(ScalarType k) 
	{ 
	  std::transform(data, &data[ROWS], data, std::bind2nd(std::divides<HVT>(), k));
	  return static_cast<const MT&>(*this);
	}
 
      //----------------------------------------------------------------------
 
      /// Add two matrices. 
      const MT operator + (const MT& m1) const
	{
	  MT v_new;
	  std::transform(data, &data[ROWS], &m1[0], &v_new[0], std::plus<HVT>());
	  return v_new;
	}
 
      /// Subtract two matrices.
      const MT operator - (const MT& m1) const
	{
	  MT v_new;
	  std::transform(data, &data[ROWS], &m1[0], &v_new[0], std::minus<HVT>());
	  return v_new;
	}
 
      /// Assigment addition of matrices.
      const MT& operator +=(const MT& v) 
	{
	  std::transform(data, &data[ROWS], &v[0], data, std::plus<HVT>());
	  return static_cast<const MT&>(*this);
	}
 
      /// Assigment subtraction of matrices.
      const MT& operator -=(const MT& v) 
	{
	  std::transform(data, &data[ROWS], &v[0], data, std::minus<HVT>());
	  return static_cast<const MT&>(*this);
	}
 
      //----------------------------------------------------------------------
 
      /// Negate matrix.
      const MT operator - () const
	{
	  MT v_new;
	  std::transform(data, &data[ROWS], &v_new[0], std::negate<HVT>());
	  return v_new;
	}
 
 
 
    };
 
  /// Multiply scalar onto matrix
  template <class VVT, class HVT, class MT, int ROWS>
    inline const MT operator * (double k, const ArithMatFloat<VVT,HVT,MT,ROWS>& v) 

      I don't simply return the transpose. */
  template <class VVT, class HVT, class M1T, class M2T, int ROWS, int COLS>
    inline void transpose(const ArithMatFloat<VVT,HVT,M1T,ROWS>& m,
			  ArithMatFloat<HVT,VVT,M2T,COLS>& m_new)
    {
      for(int i=0;i<M2T::get_v_dim();++i)
	for(int j=0;j<M2T::get_h_dim();++j)
	  m_new[i][j] = m[j][i];
    }
 
#else
 

    {
      int cols = M::get_h_dim();
      int rows1 = M1::get_v_dim();
      int rows2 = M2::get_v_dim();
 
      for(int i=0;i<rows1;++i)
	for(int j=0;j<cols;++j)
	  {
	    m[i][j] = 0;
	    for(int k=0;k<rows2;++k)
	      m[i][j] += m1[i][k] * m2[k][j];
	  }
    }
 
 
  /** Transpose. See the discussion on mul if you are curious as to why
      I don't simply return the transpose. */
  template <class M1, class M2>
    inline void transpose(const M1& m1, M2& m2)
    {
      for(int i=0;i<M2::get_v_dim();++i)
	for(int j=0;j<M2::get_h_dim();++j)
	  m2[i][j] = m1[j][i];
    }
 
#endif
 

Rev 12	Rev 43
Line 21...	Line 21...
21	`This template should be used through inheritance just like the`	21	`This template should be used through inheritance just like the`
22	`vector template */`	22	`vector template */`
23	`template <class VVT, class HVT, class MT, int ROWS>`	23	`template <class VVT, class HVT, class MT, int ROWS>`
24	`class ArithMatFloat`	24	`class ArithMatFloat`
25	`{`	25	`{`
26	`#define for_all_i(expr) for(int i=0;i<ROWS;i++) {expr;}`	-
27		-
28	`public:`	26	`public:`
29		27
30	`/// Horizontal vector type`	28	`/// Horizontal vector type`
31	`typedef HVT HVectorType;`	29	`typedef HVT HVectorType;`
32		30
Line 45...	Line 43...
45		43
46	`/// Construct 0 matrix`	44	`/// Construct 0 matrix`
47	`ArithMatFloat()`	45	`ArithMatFloat()`
48	`{`	46	`{`
49	`#ifndef NDEBUG`	47	`#ifndef NDEBUG`
50	`for_all_i(data[i]=HVT(CGLA_INIT_VALUE));`	48	`std::fill_n(data, ROWS, HVT(CGLA_INIT_VALUE));`
51	`#endif`	49	`#endif`
52	`}`	50	`}`
53		51
54	`/// Construct a matrix where all entries are the same.`	52	`/// Construct a matrix where all entries are the same.`
55	`explicit ArithMatFloat(ScalarType x)`	53	`explicit ArithMatFloat(ScalarType x)`
56	`{`	54	`{`
57	`for_all_i(data[i] = HVT(x));`	55	`std::fill_n(data, ROWS, HVT(x));`
58	`}`	56	`}`
59		57
60	`/// Construct a matrix where all rows are the same.`	58	`/// Construct a matrix where all rows are the same.`
61	`explicit ArithMatFloat(HVT _a)`	59	`explicit ArithMatFloat(HVT _a)`
62	`{`	60	`{`
63	`for_all_i(data[i] = _a);`	61	`std::fill_n(data, ROWS, _a);`
64	`}`	62	`}`
65		63
66		-
67	`/// Construct a matrix with two rows.`	64	`/// Construct a matrix with two rows.`
68	`ArithMatFloat(HVT _a, HVT _b)`	65	`ArithMatFloat(HVT _a, HVT _b)`
69	`{`	66	`{`
70	`assert(ROWS==2);`	67	`assert(ROWS==2);`
71	`data[0] = _a;`	68	`data[0] = _a;`
Line 137...	Line 134...
137	`//----------------------------------------------------------------------`	134	`//----------------------------------------------------------------------`
138		135
139	`/// Equality operator.`	136	`/// Equality operator.`
140	`bool operator==(const MT& v) const`	137	`bool operator==(const MT& v) const`
141	`{`	138	`{`
142	`for_all_i(if (data[i] != v[i]) return false)`	139	`return std::inner_product(data, &data[ROWS], &v[0], true,`
143	`return true;`	140	`std::logical_and<bool>(), std::equal_to<HVT>());`
144	`}`	141	`}`
145		142
146	`/// Inequality operator.`	143	`/// Inequality operator.`
147	`bool operator!=(const MT& v) const`	144	`bool operator!=(const MT& v) const`
148	`{`	145	`{`
Line 153...	Line 150...
153		150
154	`/// Multiply scalar onto matrix. All entries are multiplied by scalar.`	151	`/// Multiply scalar onto matrix. All entries are multiplied by scalar.`
155	`const MT operator * (ScalarType k) const`	152	`const MT operator * (ScalarType k) const`
156	`{`	153	`{`
157	`MT v_new;`	154	`MT v_new;`
158	`for_all_i(v_new[i] = data[i] * k);`	155	`std::transform(data, &data[ROWS], &v_new[0], std::bind2nd(std::multiplies<HVT>(), k));`
159	`return v_new;`	156	`return v_new;`
160	`}`	157	`}`
161		158
162	`/// Divide all entries in matrix by scalar.`	159	`/// Divide all entries in matrix by scalar.`
163	`const MT operator / (ScalarType k) const`	160	`const MT operator / (ScalarType k) const`
164	`{`	161	`{`
165	`MT v_new;`	162	`MT v_new;`
166	`for_all_i(v_new[i] = data[i] / k);`	163	`std::transform(data, &data[ROWS], &v_new[0], std::bind2nd(std::divides<HVT>(), k));`
167	`return v_new;`	164	`return v_new;`
168	`}`	165	`}`
169		166
170	`/// Assignment multiplication of matrix by scalar.`	167	`/// Assignment multiplication of matrix by scalar.`
171	`const MT& operator *=(ScalarType k)`	168	`const MT& operator *=(ScalarType k)`
172	`{`	169	`{`
173	`for_all_i(data[i] *= k);`	170	`std::transform(data, &data[ROWS], data, std::bind2nd(std::multiplies<HVT>(), k));`
174	`return static_cast<const MT&>(*this);`	171	`return static_cast<const MT&>(*this);`
175	`}`	172	`}`
176		173
177	`/// Assignment division of matrix by scalar.`	174	`/// Assignment division of matrix by scalar.`
178	`const MT& operator /=(ScalarType k)`	175	`const MT& operator /=(ScalarType k)`
179	`{`	176	`{`
180	`for_all_i(data[i] /= k);`	177	`std::transform(data, &data[ROWS], data, std::bind2nd(std::divides<HVT>(), k));`
181	`return static_cast<const MT&>(*this);`	178	`return static_cast<const MT&>(*this);`
182	`}`	179	`}`
183		180
184	`//----------------------------------------------------------------------`	181	`//----------------------------------------------------------------------`
185		182
186	`/// Add two matrices.`	183	`/// Add two matrices.`
187	`const MT operator + (const MT& m1) const`	184	`const MT operator + (const MT& m1) const`
188	`{`	185	`{`
189	`MT v_new;`	186	`MT v_new;`
190	`for_all_i(v_new[i] = data[i] + m1[i]);`	187	`std::transform(data, &data[ROWS], &m1[0], &v_new[0], std::plus<HVT>());`
191	`return v_new;`	188	`return v_new;`
192	`}`	189	`}`
193		190
194	`/// Subtract two matrices.`	191	`/// Subtract two matrices.`
195	`const MT operator - (const MT& m1) const`	192	`const MT operator - (const MT& m1) const`
196	`{`	193	`{`
197	`MT v_new;`	194	`MT v_new;`
198	`for_all_i(v_new[i] = data[i] - m1[i]);`	195	`std::transform(data, &data[ROWS], &m1[0], &v_new[0], std::minus<HVT>());`
199	`return v_new;`	196	`return v_new;`
200	`}`	197	`}`
201		198
202	`/// Assigment addition of matrices.`	199	`/// Assigment addition of matrices.`
203	`const MT& operator +=(const MT& v)`	200	`const MT& operator +=(const MT& v)`
204	`{`	201	`{`
205	`for_all_i(data[i] += v[i]);`	202	`std::transform(data, &data[ROWS], &v[0], data, std::plus<HVT>());`
206	`return static_cast<const MT&>(*this);`	203	`return static_cast<const MT&>(*this);`
207	`}`	204	`}`
208		205
209	`/// Assigment subtraction of matrices.`	206	`/// Assigment subtraction of matrices.`
210	`const MT& operator -=(const MT& v)`	207	`const MT& operator -=(const MT& v)`
211	`{`	208	`{`
212	`for_all_i(data[i] -= v[i]);`	209	`std::transform(data, &data[ROWS], &v[0], data, std::minus<HVT>());`
213	`return static_cast<const MT&>(*this);`	210	`return static_cast<const MT&>(*this);`
214	`}`	211	`}`
215		212
216	`//----------------------------------------------------------------------`	213	`//----------------------------------------------------------------------`
217		214
218	`/// Negate matrix.`	215	`/// Negate matrix.`
219	`const MT operator - () const`	216	`const MT operator - () const`
220	`{`	217	`{`
221	`MT v_new;`	218	`MT v_new;`
222	`for_all_i(v_new[i] = - data[i]);`	219	`std::transform(data, &data[ROWS], &v_new[0], std::negate<HVT>());`
223	`return v_new;`	220	`return v_new;`
224	`}`	221	`}`
225		-
226	`#undef for_all_i`	-
227		-
228	`};`	222	`};`
229		223
230	`/// Multiply scalar onto matrix`	224	`/// Multiply scalar onto matrix`
231	`template <class VVT, class HVT, class MT, int ROWS>`	225	`template <class VVT, class HVT, class MT, int ROWS>`
232	`inline const MT operator * (double k, const ArithMatFloat<VVT,HVT,MT,ROWS>& v)`	226	`inline const MT operator * (double k, const ArithMatFloat<VVT,HVT,MT,ROWS>& v)`
Line 294...	Line 288...
294	`I don't simply return the transpose. */`	288	`I don't simply return the transpose. */`
295	`template <class VVT, class HVT, class M1T, class M2T, int ROWS, int COLS>`	289	`template <class VVT, class HVT, class M1T, class M2T, int ROWS, int COLS>`
296	`inline void transpose(const ArithMatFloat<VVT,HVT,M1T,ROWS>& m,`	290	`inline void transpose(const ArithMatFloat<VVT,HVT,M1T,ROWS>& m,`
297	`ArithMatFloat<HVT,VVT,M2T,COLS>& m_new)`	291	`ArithMatFloat<HVT,VVT,M2T,COLS>& m_new)`
298	`{`	292	`{`
299	`for(int i=0;i<M2T::get_v_dim();i++)`	293	`for(int i=0;i<M2T::get_v_dim();++i)`
300	`for(int j=0;j<M2T::get_h_dim();j++)`	294	`for(int j=0;j<M2T::get_h_dim();++j)`
301	`m_new[i][j] = m[j][i];`	295	`m_new[i][j] = m[j][i];`
302	`}`	296	`}`
303		297
304	`#else`	298	`#else`
305		299
Line 313...	Line 307...
313	`{`	307	`{`
314	`int cols = M::get_h_dim();`	308	`int cols = M::get_h_dim();`
315	`int rows1 = M1::get_v_dim();`	309	`int rows1 = M1::get_v_dim();`
316	`int rows2 = M2::get_v_dim();`	310	`int rows2 = M2::get_v_dim();`
317		311
318	`for(int i=0;i<rows1;i++)`	312	`for(int i=0;i<rows1;++i)`
319	`for(int j=0;j<cols;j++)`	313	`for(int j=0;j<cols;++j)`
320	`{`	314	`{`
321	`m[i][j] = 0;`	315	`m[i][j] = 0;`
322	`for(int k=0;k<rows2;k++)`	316	`for(int k=0;k<rows2;++k)`
323	`m[i][j] += m1[i][k] * m2[k][j];`	317	`m[i][j] += m1[i][k] * m2[k][j];`
324	`}`	318	`}`
325	`}`	319	`}`
326		320
327		321
328	`/** Transpose. See the discussion on mul if you are curious as to why`	322	`/** Transpose. See the discussion on mul if you are curious as to why`
329	`I don't simply return the transpose. */`	323	`I don't simply return the transpose. */`
330	`template <class M1, class M2>`	324	`template <class M1, class M2>`
331	`inline void transpose(const M1& m1, M2& m2)`	325	`inline void transpose(const M1& m1, M2& m2)`
332	`{`	326	`{`
333	`for(int i=0;i<M2::get_v_dim();i++)`	327	`for(int i=0;i<M2::get_v_dim();++i)`
334	`for(int j=0;j<M2::get_h_dim();j++)`	328	`for(int j=0;j<M2::get_h_dim();++j)`
335	`m2[i][j] = m1[j][i];`	329	`m2[i][j] = m1[j][i];`
336	`}`	330	`}`
337		331
338	`#endif`	332	`#endif`
339		333

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(root)/trunk/src/CGLA/ArithMatFloat.h @ 12 – Rev 12 → 43