Table of Contents

## How to solve the differential equation MATLAB and Simulink?

Define the equation using == and represent differentiation using the diff function. Solve the equation using dsolve. In the previous solution, the constant C1 appears because no condition was specified. Solve the equation with the initial condition y (0) == 2. The dsolve function finds a value of C1 that satisfies the condition.

## How to solve differential equation with Syms and diff?

First-Order Linear ODE. Solve this differential equation. First, represent y by using syms to create the symbolic function y(t). syms y(t) Define the equation using == and represent differentiation using the diff function. ode = diff(y,t) == t*y. ode(t) = diff(y(t), t) == t*y(t) Solve the equation using dsolve.

## How to solve a second order differential equation numerically?

Solve the equation with the initial condition y (0) == 2. The dsolve function finds a value of C1 that satisfies the condition. If dsolve cannot solve your equation, then try solving the equation numerically. See Solve a Second-Order Differential Equation Numerically.

## How to solve a system of differential equations in matrix form?

Solve differential equations in matrix form by using dsolve. Consider this system of differential equations. The system is now Y′ = AY + B. Define these matrices and the matrix equation. Solve the matrix equation using dsolve. Simplify the solution by using the simplify function.

## How to solve a system of differential equations analytically?

Solve a differential equation analytically by using the dsolve function, with or without initial conditions. To solve a system of differential equations, see Solve a System of Differential Equations. Solve this differential equation.

## How to write an ordinary differential equation in MATLAB?

You could calculate answers using this model with the following code called RunConstDiff.m , which assumes there are 100 evenly spaced times between 0 and 10, the initial value of y is 6, and the rate of change is 1.2: If the dependent variable’s rate of change is some function of time, this can be easily written using MATLAB.