PLEASE ONLY DO THIS TYPEWRITTEN. THANK YOU. SKIP IF YOU ALREADY DID THIS. StudentsABCDEFGGrade(x)84879091887591858590GWA(y)1.752.003.002.752.751.252.502.252.002.251.251.50HIJKLNote: 3.00 is the highest value of University GWA827810. Using Matrix approach, compute B1. *0.01801.54100.86752

Students A B C D E F G Grade (x) 84 87 90 91 88 75 91 85 85 90 82 78 GWA (y) 1.75 2.00 3.00 2.75 2.75 1.25 2.50 2.25 2.00 2.25 1.25 1.50 H I J K L Note: 3.00 is the highest value of University GWA 10. Using Matrix approach, compute B1. * 0.0180 1.5410 0.8675 2

Students A B C D E F G Grade (x) 84 87 90 91 88 75 91 85 85 90 82 78 GWA (y) 1.75 2.00 3.00 2.75 2.75 1.25 2.50 2.25 2.00 2.25 1.25 1.50 H I J K L Note: 3.00 is the highest value of University GWA 10. Using Matrix approach, compute B1. * 0.0180 1.5410 0.8675 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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What are the first 10 digits of π? a. 3.1415926535 b. 3.1415926531 c. 3.1415926515 d. 3.1415926135 Given two fair dices, what is the probability that two dices sum to 8? ( as shown in the picture ) a. 1/2 b. 1/6 c. 8/36 d. 5/36 What are the eigenvalues of the following matrix? ( as shown in the picture ) a. 3,1,0 b. 3,1,1 c. 3,2,1 d. 3,2,0 Which of the statements is correct for the following linear system? The system has no solution. The system has exactly one solution. The system has infinitely many solutions. None of the above.
Given a square matrix of size ?×?�×� that only contains integers, compute the sum of the two diagonals. If the dimension of the square matrix is odd, make sure that you are not double-counting the value at the centre of the matrix. Figure 2: Sum of diagonals. Function specifications Arguments: matrix (numpy.ndarray) →→ input matrix to be used for computing the sum. Return: sum (int) →→ return the sum of the two diagonals. Expected outputs: matrix = np.array([[7, 0, 8], [6, 9, 1], [3, 8, 4]]) sum_of_diagonals(matrix)==31 matrix = np.array([[4, 1, 1, 1], [1, 3, 8, 0], [0, 8, 5, 7], [1, 6, 1, 3]]) sum_of_diagonals(matrix)==33
You have two genes from two species: one is: X = "CAGUAT" and the other is: Y = "GCACUT". You want to compute the similarity between these two genes to understand the evolutionary relationship among them. Which quantity should you compute to do so? Why? How can you compute this quantity using a matrix/2D array? Show both the cost and the arrows for each cell in that matrix.
I am having trouble with a individual coding problem I am doing in python: Ar = int(input("How many rows does your matrix have? "))Ac = int(input("How many columns does your matrix have? ")) win = GraphWin('Matrix A', 300,300) win.setBackground('white') for p in range(Ac):y = 75 + 40*pfor q in range(Ac):x = 50 + 50*qinputText = Entry(Point(x,y), 3)inputText.setText('0')inputText.draw(win) ## The issue I having is that I want to be able to get the users inputs from their entries so that I can do matrix operations on them. However, anytime I try to append their entries at best I just get their last entry repeated (n)(m) times. I would be very thankful if you can show me how I can change my code so that I append all user entries correctly.
Correct answer only else downvoted. Let ai be how many numbers i (1≤i≤k) you have. An n×n matrix is called beautiful if it contains all the numbers you have, and for each 2×2 submatrix of the original matrix is satisfied: The number of occupied cells doesn't exceed 3; The numbers on each diagonal are distinct. Make a beautiful matrix of minimum size. Input The first line contains a single integer t (1≤t≤10000) — the number of test cases. The first line of each test case contains 2 integers m and k (1≤m,k≤105) — how many numbers Nastia gave you and the length of the array a, respectively. The second line of each test case contains k integers a1,a2,…,ak (0≤ai≤m, a1+a2+…+ak=m), where ai is how many numbers i you have. It's guaranteed that the sum of m and k in one test doesn't exceed 2⋅105. Output For each t test case print a single integer n — the size of the beautiful matrix. In the next n lines print n integers bi,j (0≤bi,j≤k; if position is empty, print bi,j=0) —…
с++ The table of the football championship is given by a square matrix of order n, in which all elements belonging to the main diagonal are equal to zero, and each element not belonging to the main diagonal is equal to 2, 1 or 0 (the number of points scored in the game: 2—win, 1 — draw, 0—loss).Determine the numbers of the teams that passed the championship without defeat. Input: 5 0 1 0 2 2 2 0 1 2 1 0 1 0 2 0 2 2 2 0 1 1 0 2 2 0 Output: 1 3
Consider the following snapshot of a system: Allocation Max Available A B C D A B C D A B C D P0 0 0 1 2 0 0 1 2 1 5 2 0 P1 1 0 0 0 1 7 5 0 P2 1 3 5 4 2 3 5 6 P3 0 6 3 2 0 6 5 2 P4 0 0 1 4 0 6 5 6 Answer the following questions using the banker’s algorithm: a). What is the content of the matrix Need? b). Is the system in a safe state? c). If a request from process P1 arrives for (0,4,2,0), can the request be granted immediately?
#plea# Count the number of unique paths from a[0][0] to a[m-1][n-1]# We are allowed to move either right or down from a cell in the matrix.# Approaches-# (i) Recursion- Recurse starting from a[m-1][n-1], upwards and leftwards,# add the path count of both recursions and return count.# (ii) Dynamic Programming- Start from a[0][0].Store the count in a count# matrix. Return count[m-1][n-1]# T(n)- O(mn), S(n)- O(mn)# def count_paths(m, n): if m < 1 or n < 1: return -1 count = [[None for j in range(n)] for i in range(m)] # Taking care of the edge cases- matrix of size 1xn or mx1 for i in range(n): count[0][i] = 1 for j in range(m): count[j][0] = 1 for i in range(1, m): for j in range(1, n): # Number of ways to reach a[i][j] = number of ways to reach # a[i-1][j] + a[i][j-1] count[i][j] = count[i - 1][j] + count[i][j - 1]…
I do not understand this expression. so is c[i][j] += a[i][h] * b[h][j] mean c[i][j] = a[i][h] * b[h][j] + c[i][j]?? ; We do not know about the + matrix c right?
write a C++ program to Given a matrix of dimension m*n where each cell in the matrix can have values 0, 1 or 2 whichhas the following meaning:0: Empty cell1: Cells have fresh oranges2: Cells have rotten orangesSo we have to determine what is the minimum time required so that all the oranges becomerotten. A rotten orange at index [i,j] can rot other fresh orange at indexes [i-1,j], [i+1,j], [i,j-1],[i,j+1] (up, down, left and right). If it is impossible to rot every orange then simply return -1.Examples:Input: arr[][C] = { {2, 1, 0, 2, 1},{1, 0, 1, 2, 1},{1, 0, 0, 2, 1}};Output:All oranges can become rotten in 2 time frames.Input: arr[][C] = { {2, 1, 0, 2, 1},Tahir Iqbal Department of Computer Sciences. BULC{0, 0, 1, 2, 1},{1, 0, 0, 2, 1}};Output:All oranges cannot be rotten.Below is algorithm.1) Create an empty Q.2) Find all rotten oranges and enqueue them to Q. Also enqueuea delimiter to indicate beginning of next time frame.3) While Q is not empty do following3.a) While delimiter in…
Given an n×n matrix M in which every entry is either a 0 or 1. Present an algorithm that determines if ∃i, 1 ≤ i ≤ n, such that M[i, j] = 0 and M[j, i] = 1, ∀j, 1 ≤ j ≤ n ∧ j 6= i, using examining an entry of M as the key operation. Your algorithm must examine at most 3n − ⌊lg n⌋ − 3 entries of M.
Consider a Random Number generator algorithm whose seed, Xo = 7,869. Using the Mid-Square method, generate the first 10 random numbers. How robust is this algorithm?