CFD Discretization: Building a Higher Order Code Using Polynomial Fitting

AI Thread Summary
The discussion focuses on building a higher order computational fluid dynamics (CFD) code using polynomial fitting, specifically a third-order polynomial. The user is attempting to fit the polynomial to a defined domain but is struggling with the equations derived from the polynomial form. There is confusion regarding the number of unknowns and equations, as the user believes there are too many unknowns. A suggestion is made to refer to Lagrange Interpolating Polynomial for guidance, indicating that solving the equations may not be necessary. The conversation emphasizes the importance of understanding polynomial fitting techniques in CFD code development.
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Hi guys I was wondering if anyone on here could help me out.

Essentially I am trying to build a higher order cfd code and struggling to work out where to start, I’m trying to build it using polynomial fitting so here’s my problem.

Taking my domain as;

ϕ_(i-2)------------------ϕ_(i-1)------------------ϕ_i------------------ϕ_(i+1)
|------------------------|----------------------|---------------------|
x=0---------------------1/3 --------------------2/3------------------x=1

So I’m wanting to fit a 3rd order polynomial however I’ve not really done much polynomial fitting since A level so I’m quite stuck, here’s what I have,

ϕ=ax^3+bx^2+cx+d

Taking the infomation from the domain I can get the four equations

ϕ_(i+1)=a+b+c+d

ϕ_i=a(2/3)^3+b(2/3)^2+c(2/3)+d

ϕ_(i-1)=a(1/3)^3+b(1/3)^2+c(1/3)+d

ϕ_(i-2)=d

My problem is that there seems to be two many unknowns can anyone help
 
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