#@@ Make this a function also # For column ix, create an array of functions based on the 2der, indices, values info # Create a Gaussian function Aexp(-a(j -μ)^2) where µ= minimum index, # inputs: column index, lists of min indices, min 2derivs, and min values # Output: array of functions # Description: ix=1 mu <- minima_indices [[ix]] der2 <- minima_2der [[ix]] A <- minima_values [[ix]] a <- der 2/(2*A) 1mu <- length (mu) jvec-1:1024 gf <- array(c(0), dim = c(1mu,1024)) for (i in 1:1mu) { gf [1,] } exp(a[i]*(jvec-mu[i])^2)

C++ PLEASE HELP MUST MATCH OUTPUT IN PICS In this lab, you're going to be working with partially filled arrays that are parallel with each other. That means that the row index in multiple arrays identifies different pieces of data for the same person. This is a simple payroll system that just calculates gross pay given a set of employees, hours worked for the week and hourly rate. Parallel Arrays First, you have to define several arrays in your main program employee names for each employee hourly pay rate for each employee total hours worked for each employee gross pay for each employee You can use a global SIZE of 50 to initialize these arrays Second, you will need a two dimension (2-D) array to record the hours worked each day for an employee. The number of rows for the 2-D array should be the same as the arrays above since each row corresponds to an employee. The number of columns represents days of the week (7 last I looked) Functions Needed In this lab, you must read in the…