Corrections from William Rucklidge
Change-Id: Ifb50e87aa915d00f9861fe1a6da0acee11bc0a94
diff --git a/docs/source/nnls_modeling.rst b/docs/source/nnls_modeling.rst
index 5018579..dc43398 100644
--- a/docs/source/nnls_modeling.rst
+++ b/docs/source/nnls_modeling.rst
@@ -380,7 +380,7 @@
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 @@
: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 @@
.. 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)
