rearrange input and output arguments
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		| @@ -58,13 +58,13 @@ private: | ||||
|  | ||||
| 	// Solve Ax = b using the Modified Conjugate Gradient (MCG).  | ||||
| 	// Output x and the residual error f. | ||||
| 	void Solve_MCG(b3DenseVec3& x, const b3SparseMat33& A, b3DenseVec3& f, u32& iterations, const b3DenseVec3& b) const; | ||||
| 	void Solve_MCG(b3DenseVec3& x, b3DenseVec3& f, u32& iterations, const b3SparseMat33& A, const b3DenseVec3& b) const; | ||||
|  | ||||
| 	// Solve Ax = b using MCG with Jacobi preconditioning. | ||||
| 	// Output x and the residual error f. | ||||
| 	// This method is slower than MCG because we have to compute the preconditioning  | ||||
| 	// matrix P, but it can improve convergence. | ||||
| 	void Solve_MPCG(b3DenseVec3& x, const b3SparseMat33& A, b3DenseVec3& f, u32& iterations, const b3DenseVec3& b) const; | ||||
| 	void Solve_MPCG(b3DenseVec3& x, b3DenseVec3& f, u32& iterations, const b3SparseMat33& A, const b3DenseVec3& b) const; | ||||
|  | ||||
| 	b3SpringCloth * m_cloth; | ||||
| 	float32 m_h; | ||||
|   | ||||
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