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Corrections from William Rucklidge

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Change-Id: Ifb50e87aa915d00f9861fe1a6da0acee11bc0a94
This commit is contained in:
Sameer Agarwal
2020-10-12 10:58:05 -07:00
parent f34e80e91f
commit d1b35ffc16
1 changed files with 3 additions and 3 deletions
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docs/source/nnls_modeling.rst
+3 -3
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@@ -380,7 +380,7 @@ the corresponding accessors. This information will be verified by the
template <typename CostFunctor,
NumericDiffMethodType method = CENTRAL,
int kNumResiduals, // Number of residuals, or ceres::DYNAMIC.
int.. Ns> // Size of each parameter block.
int... Ns> // Size of each parameter block.
class NumericDiffCostFunction : public
SizedCostFunction<kNumResiduals, Ns> {
};
@@ -1547,7 +1547,7 @@ quaternion, a local parameterization can be constructed as
:class:`Problem` holds the robustified bounds constrained
non-linear least squares problem :eq:`ceresproblem_modeling`. To
create a least squares problem, use the
:func:`Problem::AddResiualBlock` and
:func:`Problem::AddResidalBlock` and
:func:`Problem::AddParameterBlock` methods.
For example a problem containing 3 parameter blocks of sizes 3, 4
@@ -1734,7 +1734,7 @@ quaternion, a local parameterization can be constructed as
.. function:: ResidualBlockId Problem::AddResidualBlock(CostFunction* cost_function, LossFunction* loss_function, const vector<double*> parameter_blocks)
.. function:: template <typename Ts..> ResidualBlockId
.. function:: template <typename Ts...> ResidualBlockId
Problem::AddResidualBlock(CostFunction* cost_function,
LossFunction* loss_function, double* x0, Ts... xs)