rearrange input and output arguments
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@ -58,13 +58,13 @@ private:
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// Solve Ax = b using the Modified Conjugate Gradient (MCG).
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// Output x and the residual error f.
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void Solve_MCG(b3DenseVec3& x, const b3SparseMat33& A, b3DenseVec3& f, u32& iterations, const b3DenseVec3& b) const;
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void Solve_MCG(b3DenseVec3& x, b3DenseVec3& f, u32& iterations, const b3SparseMat33& A, const b3DenseVec3& b) const;
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// Solve Ax = b using MCG with Jacobi preconditioning.
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// Output x and the residual error f.
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// This method is slower than MCG because we have to compute the preconditioning
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// matrix P, but it can improve convergence.
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void Solve_MPCG(b3DenseVec3& x, const b3SparseMat33& A, b3DenseVec3& f, u32& iterations, const b3DenseVec3& b) const;
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void Solve_MPCG(b3DenseVec3& x, b3DenseVec3& f, u32& iterations, const b3SparseMat33& A, const b3DenseVec3& b) const;
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b3SpringCloth * m_cloth;
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float32 m_h;
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@ -95,11 +95,11 @@ void b3SpringSolver::Solve(b3DenseVec3& f)
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if (b3_enablePrecontitioning)
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{
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Solve_MPCG(x, A, f, m_iterations, b);
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Solve_MPCG(x, f, m_iterations, A, b);
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}
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else
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{
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Solve_MCG(x, A, f, m_iterations, b);
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Solve_MCG(x, f, m_iterations, A, b);
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}
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// Update state
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@ -431,7 +431,7 @@ static void b3Filter(b3DenseVec3& out,
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}
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}
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void b3SpringSolver::Solve_MCG(b3DenseVec3& dv, const b3SparseMat33& A, b3DenseVec3& e, u32& iterations, const b3DenseVec3& b) const
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void b3SpringSolver::Solve_MCG(b3DenseVec3& dv, b3DenseVec3& e, u32& iterations, const b3SparseMat33& A, const b3DenseVec3& b) const
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{
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//
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b3Mat33* S = (b3Mat33*)m_allocator->Allocate(m_massCount * sizeof(b3Mat33));
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@ -519,7 +519,7 @@ static bool b3IsPD(const b3Mat33* diagA, u32 n)
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return true;
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}
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void b3SpringSolver::Solve_MPCG(b3DenseVec3& dv, const b3SparseMat33& A, b3DenseVec3& e, u32& iterations, const b3DenseVec3& b) const
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void b3SpringSolver::Solve_MPCG(b3DenseVec3& dv, b3DenseVec3& e, u32& iterations, const b3SparseMat33& A, const b3DenseVec3& b) const
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{
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// S
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b3Mat33* S = (b3Mat33*)m_allocator->Allocate(m_massCount * sizeof(b3Mat33));
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