Programming Articles - Page 708 of 3366

To return the dot product of One-Dimensional vectors, use the numpy.vdot() method in Python. The vdot(a, b) function handles complex numbers differently than dot(a, b). If the first argument is complex the complex conjugate of the first argument is used for the calculation of the dot product. The vdot handles multidimensional arrays differently than dot: it does not perform a matrix product, but flattens input arguments to 1-D vectors first. Consequently, it should only be used for vectors.The method returns the dot product of a and b. Can be an int, float, or complex depending on the types of a ... Read More

To return the dot product of two multi-dimensional vectors, use the numpy.vdot() method in Python. The vdot(a, b) function handles complex numbers differently than dot(a, b). If the first argument is complex the complex conjugate of the first argument is used for the calculation of the dot product. The vdot handles multidimensional arrays differently than dot: it does not perform a matrix product, but flattens input arguments to 1-D vectors first. Consequently, it should only be used for vectors.The method returns the dot product of a and b. Can be an int, float, or complex depending on the types of ... Read More

To return the dot product of two vectors, use the numpy.vdot() method in Python. The vdot(a, b) function handles complex numbers differently than dot(a, b). If the first argument is complex the complex conjugate of the first argument is used for the calculation of the dot product. The vdot handles multidimensional arrays differently than dot: it does not perform a matrix product, but flattens input arguments to 1-D vectors first. Consequently, it should only be used for vectors.The method returns the dot product of a and b. Can be an int, float, or complex depending on the types of a ... Read More

To compute the inverse hyperbolic tangent with arctanh, use the numpy.emath.arctanh() method in Python. Returns the “principal value” of arctanh(x). For real x such that abs(x) < 1, this is a real number. If abs(x) > 1, or if x is complex, the result is complex. Finally, x = 1 returns``inf`` and x=-1 returns -inf.The method returns the inverse hyperbolic tangent(s) of the x value(s). If x was a scalar so is out, otherwise an array is returned. The 1st parameter is the value(s) whose arctanh is (are) required.StepsAt first, import the required libraries −import numpy as npCreate a numpy ... Read More

To compute the inverse sine with scimath, use the numpy.emath.arcsin() method in Python. Returns the “principal value” of the inverse sine of x. For real x such that abs(x)

To compute the inverse cosine with scimath, use the numpy.emath.arccos() method in Python. Return the “principal value” of the inverse cosine of x. For real x such that abs(x)

To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned.If x contains negative values, the output is converted to the complex domain. The parameter x is the input value. The parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ... Read More

To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned. If x contains negative values, the output is converted to the complex domain. The parameter x is the input valueThe parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ... Read More

To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned. If x contains negative values, the output is converted to the complex domain. The parameter x is the input valueThe parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ... Read More

To compute the logarithm base 10 with scimath, use the scimath.log10() method in Python Numpy. The method returns the log base 10 of the x value(s). If x was a scalar, so is out, otherwise an array object is returned.For a log10() that returns NAN when real x < 0, use numpy.log10 (note, however, that otherwise numpy.log10 and this log10 are identical, i.e., both return -inf for x = 0, inf for x = inf, and, notably, the complex principle value if x.imag != 0). The 1st parameter, x is the value(s) whose log base 10 is (are) required.StepsAt first, ... Read More