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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
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, 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
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
Suppose, we are given a graph that has n vertices. The vertices are numbered 1 to n, and they are connected by the edges given in the array 'edges'. Each vertex has an 'x' value within a number from 1 to n that is given in the array 'values'. Now, we have to find out the super vertices from the graph. A vertex i is called a 'super vertex' whenever the shortest path from vertex 1 to i doesn't have a vertex with the same 'x' value as the i-th vertex. We print out all the vertices satisfying this criterion.So, ... Read More
To get the Kronecker product of two 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, ..., iN] ... Read More
To raise a square matrix to the power n in Linear Algebra, use the numpy.linalg.matrix_power() in Python For positive integers n, the power is computed by repeated matrix squarings and matrix multiplications. If n == 0, the identity matrix of the same shape as M is returned. If n < 0, the inverse is computed and then raised to the abs(n).The return value is the same shape and type as M; if the exponent is positive or zero then the type of the elements is the same as those of M. If the exponent is negative the elements are floating-point. ... Read More
To get the lowest cost contraction order for an einsum expression, use the numpy.einsum+path() method in Python. The 1st parameter, subscripts specify the subscripts for summation. The 2nd parameter, operands are the arrays for the operation.Using the Einstein summation convention, many common multi-dimensional, linear algebraic array operations can be represented in a simple fashion. In implicit mode einsum computes these values.In explicit mode, einsum provides further flexibility to compute other array operations that might not be considered classical Einstein summation operations, by disabling, or forcing summation over specified subscript labels.The resulting path indicates which terms of the input contraction should ... Read More
Suppose, we are given a grid that contains two types of cells; black cells, and white cells. The black cells are represented as '#' and the white cells are represented as '.'. The grid is given to us in an array of strings. Now, we have to perform the following.We convert each white cell to black that has a side shared with a black cell. We perform this operation until every cell of the grid is black.We count the number of iterations it takes to convert all cells of the grid to black. The grid at the start must contain ... Read More