Problem Description: You are given a dataset generated from a cubic polynomial function with added noise. Your task is to use PyTorch to estimate the coefficients of this polynomial.

Matrix polynomials and eigenvalue problems are ... particularly challenging due to their sensitivity to perturbations in coefficients, which can lead to inaccuracies in eigenvalue calculations.

The coefficients should be in order of degree, from smallest to largest.

Convolution Algorithm,Convolution Operation,Convolution Product,Cyclic Shift,Encryption And Decryption,Extra Memory,Key Generation,Limited Memory,Modulo Operation ...

Lastly, a generalization of Gegenbauer polynomials has been proposed, leading to the introduction of three subclasses of bi-univalent functions, with derived coefficient bounds and inequalities ...

In this paper proposes a sensitivity analysis method based on a Polynomial Chaos Expansion (PCE) surrogate model for flexoelectric materials. The non-uniform rational B-splines (NURBS) basis functions ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

In this article, we propose an RDH in encrypted JPEG images, where the bitstreams of alternating current (AC) coefficients and the secret data are mapped to numbers over Galois field. The obtained ...

Researchers from Nokia Bell Labs developed a new type of optical memory called a programmable photonic latch that enables ...

This functionality is located on the web page above the table or chart on the right-hand side. Rainfall depth and rainfall intensity are related as follows: The polynomial coefficients underlying the ...

By proving a broader version of Hilbert’s famous 10th problem, two groups of mathematicians have expanded the realm of ...