Florian Maurin
0af925cb01
libeigen/eigen!2652 Closes #998, #2142, #301, #1822, #1959, #805, #462, #308, #2146, #1335, #634, #81, and #46
38 lines
1.0 KiB
Plaintext
38 lines
1.0 KiB
Plaintext
namespace Eigen {
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/** \page AutoDiffExamples AutoDiff examples
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This page shows basic uses of the \ref AutoDiff_Module.
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\section AutoDiffScalarExample Tracking first derivatives
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AutoDiffScalar stores a scalar value together with its derivatives. The derivative vector size is the number of
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independent variables. A common pattern is to seed each independent variable with one unit vector:
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<table class="example">
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<tr><th>Example:</th><th>Output:</th></tr>
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<tr><td>
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\include AutoDiffScalarExample.cpp
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</td>
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<td>
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\verbinclude AutoDiffScalarExample.out
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</td></tr></table>
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\section AutoDiffJacobianExample Computing a Jacobian
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AutoDiffJacobian wraps a functor whose operator() is templated on the scalar type. Calling it with a Jacobian pointer
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evaluates the functor with active AutoDiffScalar inputs and fills both the value and Jacobian:
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<table class="example">
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<tr><th>Example:</th><th>Output:</th></tr>
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<tr><td>
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\include AutoDiffJacobianExample.cpp
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</td>
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<td>
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\verbinclude AutoDiffJacobianExample.out
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</td></tr></table>
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*/
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}
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