This MATLAB class creates a single or piecewise fit approximation for univariate or bivariate functions. Unlike other piecewise fit approximations, such as the Lambda Method and Triangle Method, this ...
The mathematical foundation of deep learning is the theorem that any continuous function can be approximated within any specified accuracy by using a neural network with certain non-linear activation ...
Abstract: The mathematical foundation of deep learning is the theorem that any continuous function can be approximated within any specified accuracy by using a neural network with certain non-linear ...
Introduction: The domain of a function is the set of all possible input values (x-values) for which the function is defined. Understanding the domain is crucial for solving mathematical problems and ...
An important function which is neither concave nor convex often arises in production and inventory models. This function is herein called piecewise concave and can be considered to be a generalization ...
Multi-Scale Feature Fusion Based on Piecewise Polynomial Activation Function for Image-Text matching
Abstract: Image-text matching remains challenging in big data processing. Matching accuracy is influenced by various factors, including the correlation between images and texts, feature extraction and ...
The topological index, or simply the index, of an equilibrium point of a differential system is an integer which saves important information about the local phase portrait of the equilibrium. There ...
This is a preview. Log in through your library . Abstract The modeling of traffic control systems for solving such problems as surface street signalization, dynamic traffic assignment, etc., typically ...
If a piecewise constant function is integrated, the result is okay, if 2 integrals are nested, that's okay too, but 3 times the result is 'nan' which it shouldn't be: from sympy import * a1, a2, a3 = ...
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