Based on the previous question, I tried to find the roots of x with variable y includes in the equation like this: $2x^2-x(3y-7)-(2y^2-6y+4)=0$
Then, I can apply the Quadratic formula like here: https://en.wikipedia.org/wiki/Quadratic_formula $x= \frac {(3y-7)\pm \sqrt{(3y-7)^2-4(-2(2y^2-6y+4))}}{4}$
$x=\frac{(3y-7)\pm \sqrt{(25y^2-90y+81)}}{4}$
Until then, I cannot go further because the equation inside the square root is cannot factorized.
Then, I'm trying to use the other way like this:
$2x^2-x(3x-7)-(2y^2-6y+4)= (ax+by+c)(dx+ey+f)$
$2x^2-x(3x-7)-(2y^2-6y+4)=(adx^2+aexy+afx+bdxy+bey^2+bfy+cdx+cey+cf)$
$2x^2-x(3x-7)-(2y^2-6y+4)=(adx^2+x(aey+bdy+af+cd)+bey^2+bfy+cey+cf)$
But, I think this equation still hard to solve and need some effort to find the answer.
How can I get the easiest way to factorize this equation and also without software too?
Since the polynomial is quadratic in both $x$ and $y$, you can write it in the form: $$f(x,y) =2 x^2 - x (3 y - 7) - (2 y^2 - 6 y + 4) $$ $$= p^i F_{ij} p^j=(x-x_0,y-y_0)^i F_{ij}(x-x_0,y-y_0)^j$$ where $p^i=(x-x_0,y-y_0)$, while $(x_0,y_0)$ is the value at the minimum/maximum and $F_{ij}$ is the Fisher matrix defined as $F_{ij} =\frac12 \partial_i \partial_j f(x,y)|_{(x,y)->(x_0,y_0)}$.
Simple algebra gives: $$ F_{ij}=\left( \begin{matrix} 2 & -3/2 \\ -3/2 & -2 \\ \end{matrix} \right), $$ and $(x_0,y_0)=(-2/5,9/5)$.