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fix typos.

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Change-Id: I6d3a5eb93e29596823afc5eb11f9a79806078bc0
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Kuang Fangjun
2018-09-18 09:29:05 +08:00
parent 2bbee09ed8
commit 57067a2545
3 changed files with 8 additions and 8 deletions
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include/ceres/autodiff_cost_function.h
+3 -3
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@@ -30,7 +30,7 @@
//
// Create CostFunctions as needed by the least squares framework, with
// Jacobians computed via automatic differentiation. For more
// information on automatic differentation, see the wikipedia article
// information on automatic differentiation, see the wikipedia article
// at http://en.wikipedia.org/wiki/Automatic_differentiation
//
// To get an auto differentiated cost function, you must define a class with a
@@ -90,7 +90,7 @@
// Dimension of x ---------------+ |
// Dimension of y ------------------+
//
// In this example, there is usually an instance for each measumerent of k.
// In this example, there is usually an instance for each measurement of k.
//
// In the instantiation above, the template parameters following
// "MyScalarCostFunctor", "1, 2, 2", describe the functor as computing a
@@ -138,7 +138,7 @@
namespace ceres {
// A cost function which computes the derivative of the cost with respect to
// the parameters (a.k.a. the jacobian) using an autodifferentiation framework.
// the parameters (a.k.a. the jacobian) using an auto differentiation framework.
// The first template argument is the functor object, described in the header
// comment. The second argument is the dimension of the residual (or
// ceres::DYNAMIC to indicate it will be set at runtime), and subsequent