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Minor changes
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@ -75,7 +75,7 @@ namespace Opm
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: type_(D),
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rows_(d.rows()),
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cols_(d.cols()),
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diag_(Diag(d.diagonal().array().data(), d.diagonal().array().data() + d.rows()))
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diag_(d.diagonal().array().data(), d.diagonal().array().data() + d.rows())
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{
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}
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@ -137,7 +137,7 @@ namespace Opm
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std::swap(rows_, other.rows_);
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std::swap(cols_, other.cols_);
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diag_.swap(other.diag_);
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sparse_[0].swap(other.sparse_[0]);
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std::swap(sparse_, other.sparse_);
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}
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@ -280,7 +280,7 @@ namespace Opm
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{
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AutoDiffMatrix retval(*this);
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retval.type_ = D;
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retval.diag_ = Diag(rows_, rhs);
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retval.diag_.assign(rows_, rhs);
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return retval;
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}
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case D:
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@ -352,13 +352,9 @@ namespace Opm
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case I:
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return rhs;
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case D:
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{
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return Eigen::Map<const Eigen::VectorXd>(diag_.data(), rows_) * rhs;
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}
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return Eigen::Map<const Eigen::VectorXd>(diag_.data(), rows_) * rhs;
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case S:
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{
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return sparse_[0] * rhs;
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}
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return sparse_[0] * rhs;
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default:
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OPM_THROW(std::logic_error, "Invalid AutoDiffMatrix type encountered: " << type_);
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}
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@ -531,7 +527,7 @@ namespace Opm
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case D:
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return rows_;
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case S:
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return sparse_->nonZeros();
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return sparse_[0].nonZeros();
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default:
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OPM_THROW(std::logic_error, "Invalid AutoDiffMatrix type encountered: " << type_);
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}
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@ -548,7 +544,7 @@ namespace Opm
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case D:
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return (row == col) ? diag_[row] : 0.0;
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case S:
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return sparse_->coeff(row, col);
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return sparse_[0].coeff(row, col);
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default:
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OPM_THROW(std::logic_error, "Invalid AutoDiffMatrix type encountered: " << type_);
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}
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