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 ...

Timothy Li is a consultant, accountant, and finance manager with an MBA from USC and over 15 years of corporate finance experience. Timothy has helped provide CEOs and CFOs with deep-dive analytics, ...

In circular functions like sine and cosine, equations can have multiple solutions within a specific interval. If all possible values are considered, these functions can have infinitely many solutions.

Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant. Linear functions arise in a wide range of ...

Abstract: In this paper, the concept and utility of primal neural network are introduced for the context of dynamical constraints or inequalities. Based on the neural-network design experience on ...

1 Laboratory of Nonlinear Analysis, Vasyl' Stus Donetsk National University, Vinnytsia, Ukraine 2 Department of Applied Analysis, Institut für Mathematik, Humboldt Universität zu Berlin, Berlin, ...

This book presents an approximation theory for a general class of nonlinear evolution equations in Banach spaces and the semigroup theory, including the linear (Hille–Yosida), nonlinear ...

Kinematics Equation: The branch of physics that defines motion concerning space and time, ignoring the cause of that motion, is known as Kinematics. Kinematics equations are a set of formulas used in ...

If you are looking for some good online math equation solvers you have come to the right place. I trawled the web and checked with a number of math teachers and came up with the list below. Most of ...

Simo Särkkä and Arno Solin (2019). Applied Stochastic Differential Equations. Cambridge University Press. Cambridge, UK. The book can be ordered through Cambridge University Press or, e.g., from ...

Time-change equations are a generalization of ordinary differential equations which are driven by the random, irregular, and possibly densely discontinuous sample paths of the typical stochastic ...