Server Side Programming Articles - Page 577 of 2650

To get the Kronecker product of two 1D arrays, use the numpy.kron() method in Python Numpy. Compute the Kronecker product, a composite array made of blocks of the second array scaled by the first.The function assumes that the number of dimensions of a and b are the same, if necessary prepending the smallest with ones. If a.shape = (r0, r1, .., rN) and b.shape = (s0, s1, ..., sN), the Kronecker product has shape (r0*s0, r1*s1, ..., rN*SN). The elements are products of elements from a and b, organized explicitly by −kron(a, b)[k0, k1, ..., kN] = a[i0, i1, ..., ... Read More

To get the Kronecker product of two arrays with different dimensionas, use the numpy.kron() method in Python Numpy. Compute the Kronecker product, a composite array made of blocks of the second array scaled by the firstThe function assumes that the number of dimensions of a and b are the same, if necessary, prepending the smallest with ones. If a.shape = (r0, r1, .., rN) and b.shape = (s0, s1, ..., sN), the Kronecker product has shape (r0*s0, r1*s1, ..., rN*SN). The elements are products of elements from a and b, organized explicitly by −# kron(a, b)[k0, k1, ..., kN] = ... Read More

To compute the condition number of a matrix in linear algebra, use the numpy.linalg.cond() method in Python. This method is capable of returning the condition number using one of seven different norms, depending on the value of p.Returns the condition number of the matrix. May be infinite. The condition number of x is defined as the norm of x times the norm of the inverse of x; the norm can be the usual L2-norm or one of a number of other matrix norms. The 1st parameter is x, the matrix whose condition number is sought. The 2nd parameter is p, ... Read More

Suppose, we are given a graph that contains n vertices and is minimally connected. The edges are given to us an array where the edges are given in a {source, dest, weight} format. Now, we are given q number of queries where each query is of the format {source, destination}. We have to find the shortest cost path from the source to the destination via vertex k. We print the cost of the path for each query.So, if the input is like n = 6, q = 3, k = 1, edges = {{1, 2, 2}, {1, 3, 4}, {3, ... Read More

To return the Norm of the matrix or vector in Linear Algebra, use the LA.norm() method in Python Numpy. The 1st parameter, x is an input array. If axis is None, x must be 1-D or 2-D, unless ord is None. If both axis and ord are None, the 2-norm of x.ravel will be returned. The 2nd parameter, ord is the order of the norm. The inf means numpy’s inf object. The default is None.The 3rd parameter axis, if an integer, specifies the axis of x along which to compute the vector norms. If axis is a 2-tuple, it specifies ... Read More

Suppose, we are given a grid of dimensions h * w. Every cell in the grid has a specific value assigned to it. We have to maximize the cells having an even value. To do that, we can select a cell that has not been selected before, and then decrease the value by 1 of the current cell and increase the value by 1 of another cell that is located vertically or horizontally adjacent to the current cell. We print out the number of operations and the cell numbers of the increase and decrease operations. The output will be in ... Read More

Suppose, there is n number of cities that are connected with m roads. The roads are unidirectional, the roads can only go from source to destination and not the opposite. The roads are given in the array 'roads' in format {source, destination}. Now, in the cities, wheat is sold at different prices. The price of wheat across the cities is given in an array 'price', where the i-th value is the price of wheat in the i-th city. Now, a traveler can buy wheat from any of the cities and can reach any of the cities (if it is permissible) ... Read More

To return the Norm of the matrix or vector in Linear Algebra, use the LA.norm() method in Python Numpy. The 1st parameter, x is an input array. If axis is None, x must be 1-D or 2-D, unless ord is None. If both axis and ord are None, the 2-norm of x.ravel will be returned. The 2nd parameter, ord is the order of the norm. The inf means numpy’s inf object. The default is None.The 3rd parameter axis, if an integer, specifies the axis of x along which to compute the vector norms. If axis is a 2-tuple, it specifies ... Read More

To return the Norm of the matrix or vector in Linear Algebra, use the LA.norm() method in Python Numpy. The 1st parameter, x is an input array. If axis is None, x must be 1-D or 2-D, unless ord is None. If both axis and ord are None, the 2-norm of x.ravel will be returned. The 2nd parameter, ord is the order of the norm. The inf means numpy’s inf object. The default is None.The 3rd parameter axis, if an integer, specifies the axis of x along which to compute the vector norms. If axis is a 2-tuple, it specifies ... Read More

Suppose, we are given a grid that has 2 rows and n columns. The grid has to be covered by n boards without one board getting over another. Now, the boards have to be colored by any one color between red, blue, and green. Two boards that are adjacent to each other cannot be colored by the same color and if not necessary, all colors do not have to be used. The configuration of the grid is given in the array 'grid', where a particular board in the grid is represented using the same English letter and different boards are ... Read More