AmberImproperTorsionType(RealType v2) :
PolynomialInversionType(), v2_(v2) {
//convert AmberImproper Torsion Type to Polynomial Inversion type
RealType c0 = v2;
RealType c2 = -v2;
setCoefficient(0, c0);
setCoefficient(2, c2);
}
//Initalize
static void init(void)
{
init_mpi();
allocateMemories();
setCoefficient();
initDebug();
}
//The rest of these follow a very simple pattern: create and configure filter, make node, put node in.
void NestedAllpassNetwork::appendAllpass(int delay, float coefficient) {
auto f = new AllpassFilter<InterpolatedDelayLine>((delay+1)/(double)sr, sr);
f->setCoefficient(coefficient);
f->line.setDelayInSamples(delay);
auto n = new NestedAllpassNetworkASTNode(this, NestedAllpassNetworkASTTypes::ALLPASS, f);
hookupAST(n);
if(slave) slave->appendAllpass(delay, coefficient);
}
static void init() {
allocateMemories();
setCoefficient();
#ifdef USE_FILE_DATA
// readDataAndFinish();
#endif
ntff3D_Init();
}
void NestedAllpassNetwork::beginNesting(int delay, float coefficient) {
auto filter = new AllpassFilter<InterpolatedDelayLine>((delay+1)/(double)sr, sr);
filter->line.setDelayInSamples(delay);
filter->setCoefficient(coefficient);
auto node = new NestedAllpassNetworkASTNode(this, NestedAllpassNetworkASTTypes::NESTED_ALLPASS, filter);
hookupAST(node);
//Now move current to the stack and kill it.
stack.push_back(current);
current = nullptr;
if(slave) slave->beginNesting(delay, coefficient);
}
Maths::Regression::Linear::Linear(double m_b_arg, double m_a_arg, double m_coeff_arg)
{
//! Returns the slope of the regression line
setSlope(m_b_arg);
//! Returns the intercept on the Y axis of the regression line
setIntercept(m_a_arg);
//! Returns the linear regression coefficient
setCoefficient(m_coeff_arg);
}
