Determine the simplified Expression Using Map Method [DON'T CARE METHOD] F (A,B,C) = {(1,2,4,7) Don't care (3,6)
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- In the Java class MatrixHelix, implement the method int[][] helix(int[][]) that returns a matrix of identical dimensions to the input matrix, but with the contents in helix order. Your implementation should account for matrices of different sizes and should handle corner cases as well (0 x 0 matrices and 1 x 1 matrix, for example). Examples The matrix 1 2 34 5 67 8 9would become 1 2 38 9 47 6 5after the helix morph. The matrix 7 5 1 4 63 2 9 1 88 3 2 4 110 11 15 19 14 would become 7 5 1 4 64 1 10 11 32 14 19 15 23 8 8 1 9after spiralizing. Implement all the methods that are indicated with //MODIFY THIS METHOD and // ADD TESTS TO CHECK PARTITIONS.Using java language In voltTest[10] is an encapsulated array that contains 10 voltages. Display how many are ACTIVE (5V), SATURATED (greater than 5V) and CUTOFF (less than 5V). Use the UML diagram as a reference. setValue(int,int,int) – accepts the value of voltActive, voltSaturated and voltCutoff as a parameter, which is the number of active, saturated and cutoff voltages. displayResult() – displays the number of active, saturated and cutoff voltages.Write a Java program that includes in its class the following methods:- A method named unitMatrix which takes one parameter which is an integer (n) and - prints a unit matrix of dimension (nxn). A unit matrix is a square matrix in which the - diagonal elements are all 1s and the remaining elements are 0s.- For example for n = 3 the printed unit matrix should be:- 1 0 0 - 0 1 0- 0 0 1- - A method named triangularMatrix which takes two parameters. The first parameter is - an integer (n) which specifies the dimensions of the triangular matrix to be printed - (nxn). The second parameter is a boolean which specifies the type of the triangular - matrix: if its value is true, the printed matrix must be an upper triangular matrix- (square elements with all elements below the diagonal are 0s), if its value is false the - printed matrix must be a lower triangular matrix (square elements with all elements - above the diagonal are 0s). - The values of non-zero elements must start…
- Consider the vector: x = c(1,2,3,4). What is the value of (x+2)[(!is.na(x)) & x > 0]? What do you find?If A={8,12,16,20} and B={12,16,20,24,28}, what is the value of P (A and B)?Application "networkx" library is used for implementing graphs. Draw a graph using this library in python. (Hint: use 'add_node()", 'add_edge()' functions to draw edges and nodes). Construct the graph shown in figure using python language. Also, plot the graph using matplotlib library, Traverse the graph using DFS, and output the DFS order. 2
- Consider the following method. /** Postcondition: m is displayed in a rectangular matrix for example: 1 2 3 4 5 6 7 8 public static void displayMatrix (int [] [] m) for (int r = 0; r < m.length; r++) for (int c = 0; c < m.length; c++) System.out.print (m[r] [c] + " "); System.out.println (); Will method displayMatrixsatisfy its postcondition? Yes, but only if the row-size and col-size are identical, No, all the numbers will display in one column. Yes, all the numbers will display in a correct rectangular display. No, because the code will generate an IndexArrayoutofBoundsException error. No, all the numbers will display in one row. ОООО Оjava using sets r maps Given an array of distinct integers, write a method called elementRank() thatreplaces each array element by its rank. The minimum array element has the rank1; the second minimum element has a rank of 2, etc. For example, calling themethod on array {18, 15, 3, 19, 2, 41, 10} will change it to {5, 4, 2, 6, 1, 7, 3}.Make sure you output the array after calling the method.Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. each individual has a rating chart portrayed by a variety of integers an of length n. You are currently refreshing the foundation, so you've made a program to pack these diagrams. The program functions as follows. Given an integer boundary k, the program takes the base of each adjoining subarray of length k in a. All the more officially, for a cluster an of length n and an integer k, characterize the k-pressure exhibit of an as a cluster b of length n−k+1, to such an extent that bj=minj≤i≤j+k−1ai For instance, the 3-pressure cluster of [1,3,4,5,2] is [min{1,3,4},min{3,4,5},min{4,5,2}]=[1,3,2]. A stage of length m is an exhibit comprising of m unmistakable integers from 1 to m in subjective request. For instance, [2,3,1,5,4] is a stage, however [1,2,2] isn't a change (2 shows up twice in the exhibit) and [1,3,4] is likewise not a stage (m=3 but rather there is 4 in the…
- Draw multiple curves a = [0:0.5:5]; %3D b = 2*a.^2 + 3*a -5; c = 1.2*a.^2+4*a-3; hold on plot(a,b,'-or', MarkerFaceColor', g','LineWidth',2) plot(a,c, --ok','MarkerFaceColor','c','LineWidth',2) xlabel('X'); ylabel(Y'); legend('Curve 1',"Curve 2','Location', 'NorthWest')?Use java Write a code to determine a geodetic number (gn) of given simple graph. Your input file(.txt) will have the following adjacency matrix: 4 0 1 1 1 1 0 1 0 1 1 0 0 1 0 0 0 So, the first line indicates total number of vertices of the given graph and following lines are the rows or adjacency matrix with at least one white space between the characters. Following is the graph for that matrix. For the sake of simplicity; for any graph with n vertices, you may assume that graph vertices are from 0 to n-1 or 1 to n. This would help you to create two-dimensional array for adjacency matrix.Python Classifier Decision Boundary Code Here is my code: I'd like to see a decision boundary where my model predicts the six points in Python code please. import numpy as npimport torchimport torch.nn as nnimport matplotlib.pyplot as plt X = torch.from_numpy(np.array([[-1,0.5],[-1.2,0.3],[1,1],[0.9,1.2],[0.1,-1],[0.2,-0.5]])).float() Y = torch.from_numpy(np.array(([0,0,1,1,2,2]))) train_data = torch.utils.data.TensorDataset(X, Y)test_data = torch.utils.data.TensorDataset(X, Y) train_loader = torch.utils.data.DataLoader(train_data, batch_size=6, shuffle=True)test_loader = torch.utils.data.DataLoader(test_data, batch_size=6, shuffle=True) myModel0 = nn.Sequential(*[nn.Linear(2,2), nn.ReLU(), nn.Linear(2,3)])myLoss = nn.CrossEntropyLoss()optimizer = torch.optim.Adam(myModel0.parameters(), lr=0.01) epoch_loss = []step_loss = []sum(p.numel() for p in myModel0.parameters() if p.requires_grad) for epoch in range(1000):running_loss = 0.0miniBatch = 0for x,y in…