Lines Matching refs:Here

77 …determined by the first 3. So you don't need to worry about them for now. Here, Matrix\<float, Dyn…
94 Here, the constructor called is DenseStorage::DenseStorage(int size, int rows, int columns)
97 Here is this constructor:
102 Here, the \a m_data member is the actual array of coefficients of the matrix. As you see, it is dyn…
126 Here, v and w are of type VectorXf, which is a typedef for a specialization of Matrix (as we explai…
150 …sm in C++ is by means of virtual functions. This is dynamic polymorphism. Here we don't want dynam…
152 Here, what we want is to have a single class MatrixBase as the base of many subclasses, in such a w…
182 Here of course, \a Derived and \a OtherDerived are VectorXf.
184 …is, a class in which we have an operator() so it behaves like a function. Here, the functor used i…
186 …op class takes one template parameter: the type of the numbers to handle. Here of course we want t…
230 Here, Base is a typedef for MatrixBase\<Matrix\>. So, what is being called is the operator= of Matr…
235 Here, \a Derived is VectorXf (since u is a VectorXf) and \a OtherDerived is CwiseBinaryOp. More spe…
260 Here is its declaration (all that is still in the same file src/Core/Assign.h)
283 Here's how it is defined:
313 Here is its declaration:
331 Here is how it's defined:
358 Here's how it works. \a LinearVectorization means that the left-hand and right-hand side expression…
360 As we said at the beginning, vectorization works with blocks of 4 floats. Here, \a PacketSize is 4.
364 …ize. Here, there are 50 coefficients to copy and \a packetSize is 4. So we'll have to copy the las…
398 Here, \a StoreMode is \a #Aligned, indicating that we are doing a 128-bit-aligned write access, \a …
404 Here, __m128 is a SSE-specific type. Notice that the enum \a size here is what was used to define \…
410 Here, __mm_store_ps is a SSE-specific intrinsic function, representing a single SSE instruction. Th…
428 Here, \a other is our sum expression \a v + \a w. The .derived() is just casting from MatrixBase to…
440 Here, \a m_lhs is the vector \a v, and \a m_rhs is the vector \a w. So the packet() function here i…
454 …is function do? It calls m_functor.packetOp() on them. What is m_functor? Here we must remember wh…
469 As you can see, all what packetOp() does is to call internal::padd on the two packets. Here is the …
473 Here, _mm_add_ps is a SSE-specific intrinsic function, representing a single SSE instruction.