#@@ 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)
#@@ 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)
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
R
I need to create a function:
(@@ 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)
![#@@ Make this a function also
# For column ix, create an array of functions based on the 2der, indices, values info
where μ= minimum index,
# Create a Gaussian function Aexp(-a(j-μ)^2)
# inputs: column index, lists of min indices, min 2derivs, and min values
# Output: array of functions
# Description:
ix=1
mu <- minima_indices [[ix]]
der 2 < minima_2der [[ix]]
A <- minima_values [[ix]]
a <- der 2/(2*A)
length (mu)
1 mu
jvec-1:1024
gf <- array(c(0), dim = c(1mu,1024))
for (i in 1:1mu) {
gf[i,] = exp(a[i]* (jvec-mu[i])^2)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F892e817a-9b32-4eeb-b8fc-5dd7ffde6479%2F9542c891-4437-4ed5-b290-ba80524f6d57%2Fp644n5_processed.png&w=3840&q=75)
Transcribed Image Text:#@@ Make this a function also
# For column ix, create an array of functions based on the 2der, indices, values info
where μ= minimum index,
# Create a Gaussian function Aexp(-a(j-μ)^2)
# inputs: column index, lists of min indices, min 2derivs, and min values
# Output: array of functions
# Description:
ix=1
mu <- minima_indices [[ix]]
der 2 < minima_2der [[ix]]
A <- minima_values [[ix]]
a <- der 2/(2*A)
length (mu)
1 mu
jvec-1:1024
gf <- array(c(0), dim = c(1mu,1024))
for (i in 1:1mu) {
gf[i,] = exp(a[i]* (jvec-mu[i])^2)
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