Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)
Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)
4th Edition
ISBN: 9780134787961
Author: Tony Gaddis, Godfrey Muganda
Publisher: PEARSON
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Chapter 16.2, Problem 16.6CP
Program Plan Intro

Sequential search:

  • The sequential search algorithm is the process to find an item in an array.
  • It compares each value and searching starts at the beginning of the array.
  • In the searching process, the algorithm compares each item in an array and finds an item.

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The element being searched for is not in an array of 100 elements. What is the maximum number of comparisons needed in a sequential search to determine that the element is not there if the elements are completely unsorted?
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def weighted_mse_grad(w, X, y, V):"""Calculate gradient of the weight MSE loss in the given point w Parameters----------w: array_likeCurrent point, in which we want to evaluate gradient (vector with k+1 elements)X: array_likeDesign matrix with N rows and k+1 columnsy: array_likeVector with N observations of the target variableV: array_likeDiagonal matrix N x N, with the weightsReturns----------out: ndarrayvector of gradient, k+1"""# your code here       # TEST weighted_mse_grad()w = np.zeros(5)X = np.random.randn(10, 5)y = np.ones(10)V = np.diag(np.ones(10)) L_grad = weighted_mse_grad(w, X, y, V)assert(L_grad.shape == (5,)) w = np.zeros(5)X = np.eye(5)y = np.ones(5)V = np.diag(np.ones(5))L_grad = weighted_mse_grad(w, X, y, V)assert(L_grad.shape == (5,)), 'The shape of the output on the test case is wrong'assert(np.allclose(5 * L_grad,- y * 2)), 'The values of the output on the test case is wrong'

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Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)

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