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doc: add a "non stable" warning for parts which are not part
of the stable API yet and a couple of other minor doc updates...
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@@ -67,7 +67,7 @@ might still be interesting to write generic and efficient algorithms taking as i
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kind of transformations.
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Any of the above transformation types can be converted to any other types of the same nature,
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or to a more generic type. Here are come additional examples:
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or to a more generic type. Here are some additional examples:
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<table class="tutorial_code">
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<tr><td>\code
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Rotation2Df r = Matrix2f(..); // assumes a pure rotation matrix
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@@ -176,7 +176,7 @@ t.pretranslate(Vector_(tx,ty,..));
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t *= Translation_(tx,ty,..);
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t = Translation_(tx,ty,..) * t;
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\endcode</td></tr>
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<tr><td>\b Rotation \n <em class="note">In 2D, any_rotation can also \n be an angle in radian</em></td><td>\code
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<tr><td>\b Rotation \n <em class="note">In 2D and for the procedural API, any_rotation can also \n be an angle in radian</em></td><td>\code
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t.rotate(any_rotation);
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t.prerotate(any_rotation);
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\endcode</td><td>\code
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@@ -216,7 +216,7 @@ t = Translation_(..) * t * RotationType(..) * Translation_(..) * Scaling_(..);
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<table class="tutorial_code">
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<tr><td style="max-width:30em;">
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Euler angles might be convenient to create rotation objects.
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On the other hand, since there exist 24 differents convensions,they are pretty confusing to use. This example shows how
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On the other hand, since there exist 24 differents convension,they are pretty confusing to use. This example shows how
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to create a rotation matrix according to the 2-1-2 convention.</td><td>\code
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Matrix3f m;
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m = AngleAxisf(angle1, Vector3f::UnitZ())
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