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T L = T(State::RowsAtCompileTime);
lambda = alpha * alpha * ( L + kappa ) - L;
gamma = std::sqrt( L + lambda );
// Make sure L != -lambda to avoid division by zero
assert( std::abs(L + lambda) > 1e-6 );
// Make sure L != -kappa to avoid division by zero
assert( std::abs(L + kappa) > 1e-6 );
T W_m_0 = lambda / ( L + lambda );
T W_c_0 = W_m_0 + (T(1) - alpha*alpha + beta);
T W_i = T(1) / ( T(2) * alpha*alpha * (L + kappa) );
For numerical reasons (i.e. not doing the divide when you could do a multiply), a better implementation would be:
The proposed implementation is
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T L = T(State::RowsAtCompileTime);
T alphaSquared = alpha * alpha;
lambda = alphaSquared * ( L + kappa ) - L;
gamma = std::sqrt( L + lambda );
// Make sure L != -lambda to avoid division by zero
assert( std::abs(L + lambda) > 1e-6 );
// Make sure L != -kappa to avoid division by zero
assert( std::abs(L + kappa) > 1e-6 );
T W_m_0 = lambda / ( L + lambda );
T W_c_0 = W_m_0 + (T(1) - alphaSquared + beta);
T W_i = T(0.5) / (L + lambda);
I made this change when I found that the weights computed by this implementation were significantly different from this for alpha=1e-3, beta=2, kappa=0. Note: the proposed changes were shown to match the desired values.
The text was updated successfully, but these errors were encountered:
The current implementation is
For numerical reasons (i.e. not doing the divide when you could do a multiply), a better implementation would be:
The proposed implementation is
I made this change when I found that the weights computed by this implementation were significantly different from this for alpha=1e-3, beta=2, kappa=0. Note: the proposed changes were shown to match the desired values.
The text was updated successfully, but these errors were encountered: