Finite element method for nonlinear differential equation












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I encounter this problem $$frac{df(u(x))}{dx} = g(x)$$ with $$u(0) = u(1) = 0$$ I first convert it to weak form $f(u(x))v(x)]^1_0 - int^{1}_0 frac{dv(x)}{dx}f(u(x))dx =- int^{1}_0 frac{dv(x)}{dx}f(u(x))dx = int^{1}_0v(x)g(x)dx $ by multiplying a test function $v(x)$. Then how should I write it in matrix form? The right hand side does not depend on $u$ explicit.



Thanks in advance.










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  • Set $G(x)=f(0)+int_0^xg(s),ds$, then you just have to solve the inverse function problem $f(u(x))=G(x)$ using Newton and some version of path-following. There is no reason why a first order ODE should satisfy two boundary conditions.
    – LutzL
    Jan 6 at 11:15










  • @LutzL variable is x! Sorry about that.
    – metricspace
    Jan 6 at 19:43
















0














I encounter this problem $$frac{df(u(x))}{dx} = g(x)$$ with $$u(0) = u(1) = 0$$ I first convert it to weak form $f(u(x))v(x)]^1_0 - int^{1}_0 frac{dv(x)}{dx}f(u(x))dx =- int^{1}_0 frac{dv(x)}{dx}f(u(x))dx = int^{1}_0v(x)g(x)dx $ by multiplying a test function $v(x)$. Then how should I write it in matrix form? The right hand side does not depend on $u$ explicit.



Thanks in advance.










share|cite|improve this question
























  • Set $G(x)=f(0)+int_0^xg(s),ds$, then you just have to solve the inverse function problem $f(u(x))=G(x)$ using Newton and some version of path-following. There is no reason why a first order ODE should satisfy two boundary conditions.
    – LutzL
    Jan 6 at 11:15










  • @LutzL variable is x! Sorry about that.
    – metricspace
    Jan 6 at 19:43














0












0








0







I encounter this problem $$frac{df(u(x))}{dx} = g(x)$$ with $$u(0) = u(1) = 0$$ I first convert it to weak form $f(u(x))v(x)]^1_0 - int^{1}_0 frac{dv(x)}{dx}f(u(x))dx =- int^{1}_0 frac{dv(x)}{dx}f(u(x))dx = int^{1}_0v(x)g(x)dx $ by multiplying a test function $v(x)$. Then how should I write it in matrix form? The right hand side does not depend on $u$ explicit.



Thanks in advance.










share|cite|improve this question















I encounter this problem $$frac{df(u(x))}{dx} = g(x)$$ with $$u(0) = u(1) = 0$$ I first convert it to weak form $f(u(x))v(x)]^1_0 - int^{1}_0 frac{dv(x)}{dx}f(u(x))dx =- int^{1}_0 frac{dv(x)}{dx}f(u(x))dx = int^{1}_0v(x)g(x)dx $ by multiplying a test function $v(x)$. Then how should I write it in matrix form? The right hand side does not depend on $u$ explicit.



Thanks in advance.







differential-equations numerical-methods finite-element-method galerkin-methods






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share|cite|improve this question













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edited Jan 6 at 19:42







metricspace

















asked Jan 6 at 10:59









metricspacemetricspace

408210




408210












  • Set $G(x)=f(0)+int_0^xg(s),ds$, then you just have to solve the inverse function problem $f(u(x))=G(x)$ using Newton and some version of path-following. There is no reason why a first order ODE should satisfy two boundary conditions.
    – LutzL
    Jan 6 at 11:15










  • @LutzL variable is x! Sorry about that.
    – metricspace
    Jan 6 at 19:43


















  • Set $G(x)=f(0)+int_0^xg(s),ds$, then you just have to solve the inverse function problem $f(u(x))=G(x)$ using Newton and some version of path-following. There is no reason why a first order ODE should satisfy two boundary conditions.
    – LutzL
    Jan 6 at 11:15










  • @LutzL variable is x! Sorry about that.
    – metricspace
    Jan 6 at 19:43
















Set $G(x)=f(0)+int_0^xg(s),ds$, then you just have to solve the inverse function problem $f(u(x))=G(x)$ using Newton and some version of path-following. There is no reason why a first order ODE should satisfy two boundary conditions.
– LutzL
Jan 6 at 11:15




Set $G(x)=f(0)+int_0^xg(s),ds$, then you just have to solve the inverse function problem $f(u(x))=G(x)$ using Newton and some version of path-following. There is no reason why a first order ODE should satisfy two boundary conditions.
– LutzL
Jan 6 at 11:15












@LutzL variable is x! Sorry about that.
– metricspace
Jan 6 at 19:43




@LutzL variable is x! Sorry about that.
– metricspace
Jan 6 at 19:43










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