The backtracking line search method (Armijo rule) for
determining step size at a point towards a descent direction,
with precomputed function value and gradient.
B
BETA -
Static variable in class org.gersteinlab.regulation.numeric.DescentMethod
Get the residual when using some genes k to predict the
expression of a gene j based on the best fit of a rate model
starting from random parameter values.
Get the residual when using some genes k to predict the
expression of a gene j based on the best fit of a rate model
starting from an initial set of parameter values.
A function that equals the total squared difference between a polynomial
and some target values at a set of points, treating the coefficients of
the polynomial as the variables.
A function that equals the total squared difference between the
predicted value of a differential equation rate model and some target
values at a set of time points, treating the parameters of the model as
the variables.