Written in Python 3.6.5 for Windows. Uses the Plotly API to create interactive graphs that open in a web browser. Required packages: Sympy 1.1.1 Plotly 3.2.0 The program was written using ...

Derivatives of functions are computed using differential calculus. A derivative in calculus is defined as “the rate of change of quantity y with respect to quantity x”. This sounds very similar to the ...

Problem: Derivative functions for Media functions using the state record for two-phase media as input cannot be constructed legally, because of the phase Integer in the record. The problem can be ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

When it comes to solving calculus problems, finding the derivative of a function is one of the most common tasks. In this article, we’ll walk you through the process of finding a derivative using your ...

Abstract: The Schwarzian derivative of functions univalent in the unit disk is estimated as a multiplier between certain weighted Bergman spaces. As an application of these estimates, we find new ...

Abstract: A method for extracting spatiospectral features from hyperspectral (HS) data is proposed. Based on 2-D Gaussian derivative (GD) functions, a bank of 2-D filters is designed. These filters ...

Mathematics of Computation, Vol. 71, No. 240 (Oct., 2002), pp. 1421-1430 (10 pages) Finite element derivative superconvergent points for harmonic functions under local rectangular mesh are ...

smooth functions and in their derivatives. The method is constructed from a local stencil of grid point values and is based on a polynomial annihilation technique. By varying the order of the method ...