ordinary differential equation is obtained only one independent variable and partial differential equation is obtained more than one variable.
Yes, it is.
partial of u with respect to x = partial of v with respect to y partial of u with respect to y = -1*partial of v with respect to x
Some partial differential equations do not have analytical solutions. These can only be solved numerically.
partial vx w/ respect to x + partial vy w/ respect to y + partial vz w/ respect to z = 0
ordinary differential equation is obtained only one independent variable and partial differential equation is obtained more than one variable.
Yes, it is.
partial of u with respect to x = partial of v with respect to y partial of u with respect to y = -1*partial of v with respect to x
PDE stands for Partial Differential Equation
Some partial differential equations do not have analytical solutions. These can only be solved numerically.
partial vx w/ respect to x + partial vy w/ respect to y + partial vz w/ respect to z = 0
Poisson's equation is a partial differential equation of elliptic type. it is used in electrostatics, mechanical engineering and theoretical physics.
An ordinary differential equation (ODE) has only derivatives of one variable.
It's all around you, starting with equation of diffusion and ending with equation of propagation of sound and EM waves.
To determine the equilibrium partial pressure using the equilibrium constant Kp, you can use the equation: Kp (P products)(coefficients of products) / (P reactants)(coefficients of reactants). Rearrange the equation to solve for the unknown partial pressure of a substance.
To determine the partial pressure at equilibrium using the equilibrium constant Kp, you can use the equation: Kp (P products)(coefficients of products) / (P reactants)(coefficients of reactants). By rearranging this equation, you can solve for the partial pressure of a specific gas at equilibrium.
All the optimization problems in Computer Science have a predecessor analogue in continuous domain and they are generally expressed in the form of either functional differential equation or partial differential equation. A classic example is the Hamiltonian Jacobi Bellman equation which is the precursor of Bellman Ford algorithm in CS.