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Programming Articles
Page 2046 of 2547
C++ Program to find out the cost to travel all the given coordinates
Suppose, we are given n three-dimensional coordinates. The cost to travel from coordinate (a, b, c) to (x, y, z) is ∣ x − a∣ + ∣ y − b∣ + max(0, z − c). We start from the first coordinate, then visit all the coordinates at least once, and then return to the first coordinate. We have to find out the total cost of this whole trip. The coordinates are given to us in the array 'coords'.So, if the input is like n = 3, coords = {{1, 1, 0}, {1, 3, 4}, {3, 2, 2}}, then the output ...
Read MoreC++ Program to find out the number of unique matrices that can be generated by swapping rows and columns
Suppose, we have a n x n matrix. Each element in the matrix is unique and is an integer number between 1 and n2. Now we can perform the operations below in any amount and any order.We pick any two integers x and y that are in the matrix, where (1 ≤ x < y ≤ n) and swap the columns containing x and y.We pick any two integers x and y that are in the matrix, where (1 ≤ x < y ≤ n) and swap the rows containing x and y.We have to note that x + y ...
Read MoreC++ Program to find out the total cost required for a robot to make a trip in a grid
Suppose, we are given a grid of dimensions h x w. Each cell in the grid contains some positive integer number. Now there is a path-finding robot placed on a particular cell (p, q) (where p is the row number and q is the column number of a cell) and it can be moved to cell (i, j). A move operation has a particular cost, which is equal to |p - i| + |q - j|. Now there are q number of trips, which has the following properties.Each trip has two values (x, y) and there is a common value ...
Read MoreCompute the inverse of an N-dimensional array in Python
To compute the inverse of an N-dimensional array, use the numpy.linalg.tensorinv() method in Python. The result is an inverse for a relative to the tensordot operation tensordot(a, b, ind), i. e., up to floating-point accuracy, tensordot(tensorinv(a), a, ind) is the “identity” tensor for the tensordot operation.The method returns a’s tensordot inverse, shape a.shape[ind:] + a.shape[:ind]. The 1st parameter is a, the Tensor to ‘invert’. Its shape must be ‘square’, i. e., prod(a.shape[:ind]) == prod(a.shape[ind:]). The 2nd parameter is ind, the number of first indices that are involved in the inverse sum. Must be a positive integer, default is 2.StepsAt first, ...
Read MoreReturn the scalar dtype or NumPy equivalent of Python type of an object
To return the scalar dtype or NumPy equivalent of Python type of an object, use the numpy.obj2sctype() method. The 1st parameter is the object of which the type is returned The default parameter, if given, is returned for objects whose types cannot be determined. If not given, None is returned for those objects.StepsAt first, import the required library −import numpy as npTo return the scalar dtype or NumPy equivalent of Python type of an object, use the numpy.obj2sctype() method −print("Using the obj2sctype() method in Numpy")Checking for int −print("Result...", np.obj2sctype(np.array([45, 89]))) print("Result...", np.obj2sctype(np.array([389, 7985])))Checking for float −print("Result...", np.obj2sctype(np.float32)) print("Result...", np.obj2sctype(np.float64)) print("Result...", ...
Read MoreC++ program to find out the maximum number of cells a cleaning robot can clean in a grid
Suppose, we are making a cleaning robot that works on a grid. The grid is of dimensions h x w. There are m dirty cells that need to be cleaned that are given in an array of integer pairs 'dirt'. The cleaning robot, if placed in a particular cell; can clean every cell in that particular row and column. So, our task is to clean the maximum number of dirty cells. We have to find out the count and display it as output.So, if the input is like h = 3, w = 3, m = 3, dirt = {{0, ...
Read MoreReturn True if all entries of two arrays are equal in Numpy
To return True if all entries of two arrays are equal, use the ma.allequal() method in Python Numpy. Returns True if the two arrays are equal within the given tolerance, False otherwise. If either array contains NaN, then False is returned.The fill_value sets whether masked values in a or b are considered equal (True) or not (False). A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether ...
Read MoreJava Program to Call One Constructor from another
In this article, we will understand how to call one constructor from another. The keyword 'this()' is used to invoke a constructor.Below is a demonstration of the same. We will displaying sum and product of two numbers while using this() −InputSuppose our input is −The numbers are defined as 12 and 30OutputThe desired output would be −The sum is: 42 The product is: 360AlgorithmStep 1 - START Step 2 - Declare an integer value namely my_sum Step 3 - In the main class, we define a ‘this’ reference to the numbers which would be used as input. Step 4 - This ...
Read MoreGenerate a Vandermonde matrix and set the number of columns in the output in Numpy
To generate a Vandermonde matrix, use the np.ma.vander() method in Python Numpy. Set the number of columns in the output using the N parameter. If N is not specified, a square array is returned (N = len(x)).The columns of the output matrix are powers of the input vector. The order of the powers is determined by the increasing boolean argument. Specifically, when increasing is False, the i-th output column is the input vector raised element-wise to the power of N - i - 1. Such a matrix with a geometric progression in each row is named for Alexandre- Theophile Vandermonde.StepsAt ...
Read MoreGenerate a Vandermonde matrix in Numpy
To generate a Vandermonde matrix, use the np.ma.vander() method in Python Numpy. A Vandermonde matrix, named after Alexandre-Théophile Vandermonde, is a matrix with the terms of a geometric progression in each row.The columns of the output matrix are powers of the input vector. The order of the powers is determined by the increasing boolean argument. Specifically, when increasing is False, the i-th output column is the input vector raised element-wise to the power of N - i - 1. Such a matrix with a geometric progression in each row is named for Alexandre- Theophile Vandermonde.StepsAt first, import the required library ...
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