|  | namespace Eigen { | 
|  |  | 
|  | /** \page TopicPitfalls Common pitfalls | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_template_keyword Compilation error with template methods | 
|  |  | 
|  | See this \link TopicTemplateKeyword page \endlink. | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_aliasing Aliasing | 
|  |  | 
|  | Don't miss this \link TopicAliasing page \endlink on aliasing, | 
|  | especially if you got wrong results in statements where the destination appears on the right hand side of the expression. | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_alignment_issue Alignment Issues (runtime assertion) | 
|  |  | 
|  | %Eigen does explicit vectorization, and while that is appreciated by many users, that also leads to some issues in special situations where data alignment is compromised. | 
|  | Indeed, prior to C++17,  C++ does not have quite good enough support for explicit data alignment. | 
|  | In that case your program hits an assertion failure (that is, a "controlled crash") with a message that tells you to consult this page: | 
|  | \code | 
|  | http://eigen.tuxfamily.org/dox/group__TopicUnalignedArrayAssert.html | 
|  | \endcode | 
|  | Have a look at \link TopicUnalignedArrayAssert it \endlink and see for yourself if that's something that you can cope with. | 
|  | It contains detailed information about how to deal with each known cause for that issue. | 
|  |  | 
|  | Now what if you don't care about vectorization and so don't want to be annoyed with these alignment issues? Then read \link getrid how to get rid of them \endlink. | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_auto_keyword C++11 and the auto keyword | 
|  |  | 
|  | In short: do not use the auto keywords with %Eigen's expressions, unless you are 100% sure about what you are doing. In particular, do not use the auto keyword as a replacement for a \c Matrix<> type. Here is an example: | 
|  |  | 
|  | \code | 
|  | MatrixXd A, B; | 
|  | auto C = A*B; | 
|  | for(...) { ... w = C * v;  ...} | 
|  | \endcode | 
|  |  | 
|  | In this example, the type of C is not a \c MatrixXd but an abstract expression representing a matrix product and storing references to \c A and \c B. | 
|  | Therefore, the product of \c A*B will be carried out multiple times, once per iteration of the for loop. | 
|  | Moreover, if the coefficients of A or B change during the iteration, then C will evaluate to different values. | 
|  |  | 
|  | Here is another example leading to a segfault: | 
|  | \code | 
|  | auto C = ((A+B).eval()).transpose(); | 
|  | // do something with C | 
|  | \endcode | 
|  | The problem is that \c eval() returns a temporary object (in this case a \c MatrixXd) which is then referenced by the \c Transpose<> expression. | 
|  | However, this temporary is deleted right after the first line, and then the \c C expression references a dead object. | 
|  | One possible fix consists in applying \c eval() on the whole expression: | 
|  | \code | 
|  | auto C = (A+B).transpose().eval(); | 
|  | \endcode | 
|  |  | 
|  | The same issue might occur when sub expressions are automatically evaluated by %Eigen as in the following example: | 
|  | \code | 
|  | VectorXd u, v; | 
|  | auto C = u + (A*v).normalized(); | 
|  | // do something with C | 
|  | \endcode | 
|  | Here the \c normalized() method has to evaluate the expensive product \c A*v to avoid evaluating it twice. | 
|  | Again, one possible fix is to call \c .eval() on the whole expression: | 
|  | \code | 
|  | auto C = (u + (A*v).normalized()).eval(); | 
|  | \endcode | 
|  | In this case, \c C will be a regular \c VectorXd object. | 
|  | Note that DenseBase::eval() is smart enough to avoid copies when the underlying expression is already a plain \c Matrix<>. | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_header_issues Header Issues (failure to compile) | 
|  |  | 
|  | With all libraries, one must check the documentation for which header to include. | 
|  | The same is true with %Eigen, but slightly worse: with %Eigen, a method in a class may require an additional \c \#include over what the class itself requires! | 
|  | For example, if you want to use the \c cross() method on a vector (it computes a cross-product) then you need to: | 
|  | \code | 
|  | #include<Eigen/Geometry> | 
|  | \endcode | 
|  | We try to always document this, but do tell us if we forgot an occurrence. | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_ternary_operator Ternary operator | 
|  |  | 
|  | In short: avoid the use of the ternary operator <code>(COND ? THEN : ELSE)</code> with %Eigen's expressions for the \c THEN and \c ELSE statements. | 
|  | To see why, let's consider the following example: | 
|  | \code | 
|  | Vector3f A; | 
|  | A << 1, 2, 3; | 
|  | Vector3f B = ((1 < 0) ? (A.reverse()) : A); | 
|  | \endcode | 
|  | This example will return <code>B = 3, 2, 1</code>. Do you see why? | 
|  | The reason is that in c++ the type of the \c ELSE statement is inferred from the type of the \c THEN expression such that both match. | 
|  | Since \c THEN is a <code>Reverse<Vector3f></code>, the \c ELSE statement A is converted to a <code>Reverse<Vector3f></code>, and the compiler thus generates: | 
|  | \code | 
|  | Vector3f B = ((1 < 0) ? (A.reverse()) : Reverse<Vector3f>(A)); | 
|  | \endcode | 
|  | In this very particular case, a workaround would be to call A.reverse().eval() for the \c THEN statement, but the safest and fastest is really to avoid this ternary operator with %Eigen's expressions and use a if/else construct. | 
|  |  | 
|  |  | 
|  | \section TopicPitfalls_pass_by_value Pass-by-value | 
|  |  | 
|  | If you don't know why passing-by-value is wrong with %Eigen, read this \link TopicPassingByValue page \endlink first. | 
|  |  | 
|  | While you may be extremely careful and use care to make sure that all of your code that explicitly uses %Eigen types is pass-by-reference you have to watch out for templates which define the argument types at compile time. | 
|  |  | 
|  | If a template has a function that takes arguments pass-by-value, and the relevant template parameter ends up being an %Eigen type, then you will of course have the same alignment problems that you would in an explicitly defined function passing %Eigen types by reference. | 
|  |  | 
|  | Using %Eigen types with other third party libraries or even the STL can present the same problem. | 
|  | <code>boost::bind</code> for example uses pass-by-value to store arguments in the returned functor. | 
|  | This will of course be a problem. | 
|  |  | 
|  | There are at least two ways around this: | 
|  | - If the value you are passing is guaranteed to be around for the life of the functor, you can use boost::ref() to wrap the value as you pass it to boost::bind. Generally this is not a solution for values on the stack as if the functor ever gets passed to a lower or independent scope, the object may be gone by the time it's attempted to be used. | 
|  | - The other option is to make your functions take a reference counted pointer like boost::shared_ptr as the argument. This avoids needing to worry about managing the lifetime of the object being passed. | 
|  |  | 
|  | */ | 
|  | } |