Emily Rosemary Collins

💡 Problem Formulation: We want to generate a pseudo Vandermonde matrix given a degree and a complex array of point coordinates in Python. The input is an array of complex numbers, representing the points, and an integer degree. The output should be a matrix where each row i and column j holds the value (points[i])^(j), … Read more

💡 Problem Formulation: Computational problems often require differentiating mathematical series, such as the Chebyshev series, which can have multidimensional coefficients. This article focuses on the differentiation of a Chebyshev series along axis 1 within a Python environment. For example, given an array representing Chebyshev coefficients of dimensions (m, n), where m denotes the order of … Read more

💡 Problem Formulation: When working with Chebyshev series in Python, one might encounter multidimensional array coefficients. The challenge is to carry out differentiation over a specific axis of the series. For instance, given a multidimensional array representing Chebyshev coefficients, we want to differentiate this series over the second axis, while maintaining the integrity of other … Read more

💡 Problem Formulation: Generating a pseudo Vandermonde matrix is a common operation when dealing with polynomial regressions or interpolation issues. For Python developers, the task is to transform an array of floating-point coordinates into a Vandermonde-like matrix, given a certain degree. For instance, given points [1.5, 2.5, 3.5] and degree 2, the aim is to … Read more

💡 Problem Formulation: We aim to compute the value of a Hermite series given a set of coefficients corresponding to the series’ terms and evaluate it at specific points x. The task also entails addressing the dimensionality of the coefficient array, ensuring it extends appropriately across the dimensions of x. As an example, given a … Read more

💡 Problem Formulation: Subtraction of Hermite series is a common operation in mathematical computations, particularly in the context of approximation theory or quantum physics. Given two Hermite series, represented by their coefficients, the problem is to find a new series that represents their difference. For instance, if the coefficients of the first series are [1, … Read more

💡 Problem Formulation: The task is to generate a pseudo Vandermonde matrix in Python where the columns are powers of the input vector. Given a one-dimensional input array x and a degree n, the output should be a matrix with the ith column being the x elements raised to the power of i, for i … Read more

💡 Problem Formulation: Differentiating polynomials can be a complex task, particularly when dealing with a Hermite E series that has multidimensional coefficients. In computational mathematics, Hermite E polynomials play a vital role in various algorithms. A user might have a multidimensional array representing the coefficients of a Hermite E series and seek to differentiate this … Read more

💡 Problem Formulation: In computational mathematics, it’s common to encounter the need to differentiate polynomials or series. Specifically, for a Hermite E series with multidimensional coefficients, the challenge is to calculate the derivative over a designated axis. Consider a series with coefficients represented by a multidimensional array; the goal is to obtain an array where … Read more

💡 Problem Formulation: Given a Chebyshev series representation of a function, a common task is to multiply this series by an independent variable, essentially increasing the degree by one and introducing a new term. For example, if you have the Chebyshev series a_0 + a_1*T_1(x) + a_2*T_2(x) for variable x, and you want to multiply … Read more

💡 Problem Formulation: The task involves performing subtraction of one Chebyshev series from another in Python. Chebyshev series are used to approximate functions and are akin to Fourier series with coefficients of Chebyshev polynomials. Given two such series A and B, the aim is to compute the result C = A – B, where C … Read more

💡 Problem Formulation: In mathematical computations and data analysis, it is often required to perform operations on series expansions such as Chebyshev series. Consider two Chebyshev series A and B, represented by their coefficients. The task is to efficiently add these series to obtain a new series C, whose coefficients are the sum of the … Read more