Generating a Pseudo-Vandermonde Matrix using Hermite Polynomials and XYZ Floating Points in Python

πŸ’‘ Problem Formulation: The goal is to construct a pseudo-Vandermonde matrix where the basis is formed by Hermite polynomials evaluated at a floating array of x, y, z points. This type of matrix can be crucial in interpolations, curve fitting, and solving systems of equations in multi-dimensional space. An input example would be a set … Read more

5 Best Ways to Compute the Inverse Hyperbolic Tangent of Array Elements in Python

πŸ’‘ Problem Formulation: In scientific computing, it’s common to encounter the need to perform the inverse hyperbolic tangent (artanh) on a series of numbers. This mathematical function is crucial for numerous applications, particularly in physics, engineering, and finance. For instance, given an input array of values [0.5, 0.75, 1.0], we seek a simple and efficient … Read more

5 Best Ways to Return the Cumulative Sum of Array Elements, Treating NaNs as Zero and Changing the Result Type in Python

πŸ’‘ Problem Formulation: We need to compute the cumulative sum of a numeric array in Python where any occurrence of a not-a-number (NaN) is treated as zero. Moreover, after summing, the type of the cumulative sum array must be changed. For instance, given an input array like [1, NaN, 3, 4], the desired output with … Read more

Evaluating a 2D Polynomial on the Cartesian Product of X and Y with 3D Array of Coefficients in Python

πŸ’‘ Problem Formulation: We often face tasks in computational mathematics where we need to evaluate a 2D polynomial on a set of x and y data points. Given a 3D array of coefficients, where each sub-array represents the coefficients for a polynomial in either x or y, the goal is to compute the polynomial values … Read more

5 Best Ways to Evaluate a 2D Polynomial on the Cartesian Product of X and Y in Python

Evaluating 2D Polynomials on Cartesian Products in Python πŸ’‘ Problem Formulation: This article tackles the evaluation of a two-dimensional polynomial over a grid defined by the Cartesian product of two vectors, X and Y. This process is crucial in areas such as numerical analysis and computational geometry. For instance, given vectors X and Y, and … Read more

Generating Pseudo Vandermonde Matrices of Chebyshev Polynomials with Python

πŸ’‘ Problem Formulation: In numerical analysis and scientific computing, it is often required to construct a Vandermonde-like matrix to facilitate polynomial interpolation or approximation problems. Specifically, given a float array of points’ coordinates, one aims to generate a pseudo Vandermonde matrix where the columns are powers of Chebyshev polynomials, resulting in an efficient and numerically … Read more