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43 class Problem;
57 // non-linear least squares problem and provides random access to its
66 // Let us consider the non-linear regression problem
73 // solution to the non-linear least squares problem:
96 // of y, then the maximum likelihood problem to be solved is
107 // scaled, e.g. in the above case the cost function for this problem
112 // non-linear least squares problem and provides random access to its
135 // Structural rank deficiency occurs when the problem contains
177 // Problem problem;
178 // problem.AddParameterBlock(x, 3);
179 // problem.AddParameterBlock(y, 2);
180 // <Build Problem>
181 // <Solve Problem>
191 // CHECK(covariance.Compute(covariance_blocks, &problem));
320 // Even though the residual blocks in the problem may contain loss
357 Problem* problem);