
Learn to solve first and second order differential equations in Scilab using the ODE command, with practical examples from physics like radioactive decay, capacitor charging, and harmonic oscillators.

Combining physics-informed neural networks and Kalman filters to identify parameters in continuous-time systems with noisy measurements, improving model precision for complex systems.

Master the variable separation method for solving first-order differential equations through a clear, step-by-step demonstration of this fundamental mathematical technique.