Write a function is_mat_multipliable() that takes two matrices as inputs: X and Y. If it is possible to multiply them together, e.g. take the matrix product XY, then output TRUE. Otherwise, output FALSE. There should be no errors/warnings/messages. Please test your functions on the following test inputs in your submission: # test case 1: X = matrix(logical(12), 4), Y = matrix(logical(12), 3) # test case 2: X = matrix(logical(16), 4), Y = matrix(1, 5

Can anyone help me solve that? TypedArray is a class, you can use any class data instead of that

In the following questions you need to import functions from Numpy. For example the computation of matrix determinants can be done with the help of the function det of the library numpy.linalg. Please list the commands required for the function to work Its follows on from a, b and c

In the following questions you need to import functions from Numpy. For example the computation of matrix determinants can be done with the help of the function det of the library numpy.linalg. Please list the commands required for the function to work

In the following questions you need to import functions from Numpy. For example the computation of matrix determinants can be done with the help of the function det of the library numpy.linalg. Please list the commands required for the function to work The first photo is 3a. The other photo has the remaining questions.

In python, how do you generate a distance matrix H where in each entry hij, the distance between row i and row j are stored, distance is computed by the inner product <x,y>C := xTCy, where the matrix C is a 3x3 matrix: [3 1 6 1 2 1 6 1 27]. The dataset is a 26x5 matrix and I need to find the distance using the above inner product between each row - I should end up with a 26x26 distance matrix H, where each diagonal entry (i=j) is 0.

Tracking your commute times for two weeks (10 days), and you recorded the following times in minutes: 17 16 20 24 22 15 21 15 17 22 Enter this into a vector called commute. Use R functions to find the average and a statistical summary. Suppose the 24 was a mistake; it should have been 18. How can you fix this? Do so, and then find the new average. Hint: Index into the vector, then use an assignment statement to fix this mistake. How many times was your commute 20 minutes or more? What percent of your commutes are less than 17 minutes? How can you answer this with R? Briefly explain the result of the following commands. Hint: Refer Vector data extraction summary in CheatSheet commute + 1 commute[-6] sum(commute>21 | commute<16) commute[commute>=17] sum(commute[commute>20]) commute[4:6]

Please answer the question in the screenshot. The language used is Java.

vector, or a matrix in the same way as described for rand function. EXERCISE I8 Generate a random integer between I and 10. Ask user to guess the number. If user's guess is incorrect, ask' to guess again until user gets it right. At this point, tell user that he guessed it correctly and print out the number of attempts it took for the correct guess. Output Samples>> exercisel8 Please guess an integer between 1 and 10: 5 Your guess is incorrect. Please try again: 2 You guessed it correctly in 2 attemptS>>>> exercise16 Please guess an integer between 1 and 10: 2 Your guess is incorrect. Please try again: 3 Your guess is incorrect. Please try again: 6 Your guess is incorrect. Please try again: 5 Your guess is incorrect. Please try again: 8 Your guess is incorrect. Please try again: 9 Your guess is incorrect. Please try again: 10 Your guess is incorrect. Please try again: 1 Your guess is incorrect. Please try again: 4 Your guess is incorrect. Please try again: 7 You guessed it correctly...

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Given a function with one vector parameter scores. How should the parameter be defined if scores may by very large and the function will modify the parameter? A) constant, and pass by value B) not constant and pass by value C) not constant and pass by reference D) constant and pass by reference