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-rw-r--r--unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h4
-rw-r--r--unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h2
-rw-r--r--unsupported/Eigen/src/NonLinearOptimization/lmpar.h2
3 files changed, 4 insertions, 4 deletions
diff --git a/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h b/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h
index 6a5961468..43539f549 100644
--- a/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h
+++ b/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h
@@ -480,7 +480,7 @@ typename MatrixFunction<MatrixType,1>::DynMatrixType MatrixFunction<MatrixType,1
if (i == m - 1) {
AX = 0;
} else {
- Matrix<Scalar,1,1> AXmatrix = A.row(i).end(m-1-i) * X.col(j).end(m-1-i);
+ Matrix<Scalar,1,1> AXmatrix = A.row(i).tail(m-1-i) * X.col(j).tail(m-1-i);
AX = AXmatrix(0,0);
}
@@ -489,7 +489,7 @@ typename MatrixFunction<MatrixType,1>::DynMatrixType MatrixFunction<MatrixType,1
if (j == 0) {
XB = 0;
} else {
- Matrix<Scalar,1,1> XBmatrix = X.row(i).start(j) * B.col(j).start(j);
+ Matrix<Scalar,1,1> XBmatrix = X.row(i).head(j) * B.col(j).head(j);
XB = XBmatrix(0,0);
}
diff --git a/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h b/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h
index d503b85e8..5ab440863 100644
--- a/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h
+++ b/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h
@@ -535,7 +535,7 @@ LevenbergMarquardt<FunctorType,Scalar>::minimizeOptimumStorageOneStep(
sing = true;
}
ipvt[j] = j;
- wa2[j] = fjac.col(j).start(j).stableNorm();
+ wa2[j] = fjac.col(j).head(j).stableNorm();
}
if (sing) {
ipvt.cwise()+=1;
diff --git a/unsupported/Eigen/src/NonLinearOptimization/lmpar.h b/unsupported/Eigen/src/NonLinearOptimization/lmpar.h
index b723a7e0a..e5b66c0d7 100644
--- a/unsupported/Eigen/src/NonLinearOptimization/lmpar.h
+++ b/unsupported/Eigen/src/NonLinearOptimization/lmpar.h
@@ -87,7 +87,7 @@ void ei_lmpar(
/* calculate an upper bound, paru, for the zero of the function. */
for (j = 0; j < n; ++j)
- wa1[j] = r.col(j).start(j+1).dot(qtb.start(j+1)) / diag[ipvt[j]];
+ wa1[j] = r.col(j).head(j+1).dot(qtb.head(j+1)) / diag[ipvt[j]];
gnorm = wa1.stableNorm();
paru = gnorm / delta;