Examples Create a parameterized circuit and assign the parameters in-place. from qiskit.circuit import QuantumCircuit, Parameter circuit = QuantumCircuit(2) params = [Parameter('A'), Parameter('B'), Parameter('C')] circuit.ry(params[0], 0) circuit.crx(params[1], 0, 1) print('Original ...
To add a PWL function to a voltage or current source: Right-click on the symbol in the schematic editor Click Advanced Select either PWL(t1, v1, t2, v2…) or PWL File: Depending on your choice in step 3, either enter the PWL values or choose a file. If you choose to enter...
This is a temporary workaround for GLM(M)s that do not adhere to the property of symmetricity of independence claims as a function of transformations via the link function. ?lter.exogenous Author(s) Jon Lefcheck Examples ## Not run: data = data.frame( a = runif(50), b = runif(50,...
The solution is sought by iterating a new linear approximation, similar to the classical process of linearization, except that a reference model is not present in either the data vector or the unknown function. For induced polarization soundings, the problem is linear and the solution is obtained...
The probability density function (PDF) associated with a given set of samples is approximated by a piecewise-linear polynomial constructed with respect to a binning of the sample space. The kernel functions are a compactly supported basis for the space of such polynomials, i.e. finite element ...
The function lm in R has an optional argument weights that allows for the fitting of a WLS. ENG-256: Linear Models 202 Logistic regression Consider the problem of modelling a binary response y. Then if Pr(y = 1) = π and Pr(y = 0) = 1 −π we have that E(y) = π. Supp...
Examples include the SIGN function in Derive, the signum and piecewise func- tions in Maple V and the UnitStep in Mathematica. 2 Definitions of functions The signum function is defined differently in each of the ma- jor CAS. This is not really surprising given that different ar...
The moment generating function M(t) of a random variable X is given by the expectation E(etX). If the given random variable X is discrete with probability mass function p(x), then MX(t)=∑xetxp(x). If the given random variabl...
\end{aligned}$$ pwl.functions can be used to approximate nonlinear functions. we consider the case where the pwl.approximation coincides with the nonlinear function at the nodes of the triangulations. in this way, we can ensure continuity of the approximation if the nonlinear function is ...
(x, y, z, w), indicating that the new vertex position is a function of the homogenous coordinates x, y, z, and w of the current vertex position. Any linear function of the homogenous coordinates x, y, z, and w may be utilized, whereby lines associated the current vertices of the ...