I'm trying to do some parameter estimation and want to choose parameter estimates that minimize the square error in a predicted equation over about 30 variables. If the equation were linear, I would just compute the 30 partial derivatives, set them all to zero, and use a linear-equation solver. But unfortunately the equation is nonline...
I am trying to write a function that uses Newton's method (coefficients+(inverse hessian)*gradient) to iteratively find the coefficients for a loglinear model. I am using the following code: ##reading in the data dat<-read.csv('hw8.csv') summary(dat) # data file containing yi and xi attach(dat) ##Creating column o...
Hello, I have a non square matrix A and i want to know A^2. Actually i am working in neural network newton optimization method using second order Taylor series such that I want to multiply the hessian matrix H(second derivative) with the square of the weight vectors. It is written as: Delta(w(n))' * H(n) * Delta(w(n)) Actually it is ...
I need to write a class that includes a bisection and newton function. I understand how each method works, I just need to know how to write a class that passes the parameters of each function correctly. Parameters: Bisection The function you're finding the root of the starting interval (a,b) the absolute tolerance the relative...
Possible Duplicate: John Carmacks Unusual Fast Inverse Square Root (Quake III) I came across this piece of code a blog recently - it is from the Quake3 Engine. It is meant to calculate the inverse square root fast using the Newton-Rhapson method. float InvSqrt (float x){ float xhalf = 0.5f*x; int i = *(int*)&x; i ...