Differential Equations: Linear and nonlinear first-order ODEs, higher order ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms. Probability and Statistics: Mean, ...
GATE Electronics and Communication Engineering Syllabus 2026: The candidates who are planning to take the GATE Electronics and Communication Engineering (ECE) exam 2026 should ensure they are ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Abstract: For a weakly nonlinear system described by Volterra series, if the nonlinear differential equation (NDE) model of the system is unique, the nonlinear auto-regressive with exogenous input ...
Abstract: This paper takes the two-machine and two-zone doubly-fed induction generator system as the research object. And each machine adopts the voltage and current double loop virtual synchronous ...
Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
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Maxwell's Equations in Differential Form Using Stoke's and Divergence Theorems
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based ...
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Linear vs. Rotational Kinematics and the Rotational Kinematic Equations
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
A number machine is a way of writing rules using a flow diagram. The equation \(3j - 6 = 9\) can be shown on a number machine by writing out the functions that have been applied to \(j\) in the order ...
Age-related differences in cortical aperiodic signals can be driven by cardiac influences, emphasizing the need to control for cardiac contributions in studies interpreting cortically measured ...
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