 Petrov–Galerkin method

The Petrov-Galerkin method chooses an approximate solution $u_h$ in a finite-dimensional trial vector space $V_h$ and tests a weak formulation against a possibly different test space $W_h$. For a bilinear form $a$ and a linear functional $\ell$, it imposes $a(u_h,v_h)=\ell (v_h)$ for every $v_h\in W_h$. Taking $W_h=V_h$ recovers the usual Galerkin method. Different test functions can alter stability and accuracy; the Galerkin orthogonality is then against the test space and need not be an orthogonal projection in an energy norm.

The Petrov–Galerkin method is a numerical technique used to solve partial differential equations (PDEs), primarily in the context of finite element analysis. It is a variant of the Galerkin method, which is widely used for approximating solutions to boundary value problems.