5 Best Ways to Evaluate a Hermite E Series at List of Points X in Python

πŸ’‘ Problem Formulation: When you’re dealing with polynomial approximation or probabilistic computations, you might need to evaluate Hermite polynomials at a given set of points. The problem involves calculating the values of Hermite E polynomials (physicist’s version) for a list of points x, where the input is a list of numerical values and the desired … Read more

5 Best Ways to Evaluate a Hermite E Series at Points X with Multidimensional Coefficient Array in Python

πŸ’‘ Problem Formulation: When working with probabilistic representations and Gaussian processes, evaluating a Hermite E series at specific points using a multidimensional coefficient array becomes essential. Given a set of coefficients which may be multidimensional, and a point or array of points X, the goal is to calculate the Hermite function values efficiently in Python. … Read more

5 Best Ways to Evaluate a 3D Laguerre Series on the Cartesian Product of x, y, and z with 4D Array of Coefficients in Python

πŸ’‘ Problem Formulation: In computational mathematics, evaluating a 3D Laguerre series on the cartesian product of coordinates x, y, and z involves calculating a value using a four-dimensional array of coefficients. Specifically, we want to determine the sum of Laguerre polynomial products across the three variables using the given coefficients. For example, given arrays of … Read more

5 Best Ways to Integrate a Hermite Series Over a Specific Axis in Python

πŸ’‘ Problem Formulation: When working with Hermite polynomial series in Python, one might need to perform integration over a specific axis of a multidimensional array. This operation is crucial in fields like computational physics and statistics, where Hermite polynomials are a central mathematical tool. Consider having a two-dimensional array representing a series of Hermite polynomial … Read more

5 Best Ways to Generate a Vandermonde Matrix of the Hermite Polynomial with Complex Array of Points in Python

πŸ’‘ Problem Formulation: This article tackles the challenge of generating a Vandermonde matrix, specifically for Hermite polynomials, using a complex array of points as its input. The goal is to compute a matrix where each row represents an increasing degree of the Hermite polynomial evaluated at each point in the complex array. For example: given … Read more

Generating a Pseudo-Vandermonde Matrix of the Hermite Polynomial in Python

πŸ’‘ Problem Formulation: A Vandermonde matrix is a square matrix with the terms of a geometric progression in each row. When dealing with Hermite polynomials, a pseudo-Vandermonde matrix incorporates the values derived from these polynomials. This article will demonstrate how to generate such a matrix in Python, starting with a sequence of points (e.g., x … Read more

5 Best Ways to Remove Small Trailing Coefficients from Laguerre Polynomial in Python

πŸ’‘ Problem Formulation: When working with Laguerre polynomials in Python, it’s common to encounter situations where small trailing coefficients may be negligible and can be discarded to simplify the polynomial. This article demonstrates multiple techniques to remove such coefficients effectively. Given an input Laguerre polynomial, for example, L(x) = 0.1x^3 + 2.5x^2 + 0.0001x + … Read more

5 Best Ways to Convert a Laguerre Series to a Polynomial in Python

πŸ’‘ Problem Formulation: When working with orthogonal polynomials in numerical methods or spectral analysis, one may encounter Laguerre series. These series represent functions as linear combinations of Laguerre polynomials. The task is to convert such a series into a standard polynomial form. For instance, given a Laguerre series defined by coefficients [2, 1, 3], the … Read more