2 Assets
Returns:	10	16
Var - Cov Matrix	16	6
	6	36
						A=	mu1	mu2
Target Return:		11					1	1
Solves Equality
						AT	mu1	1
							mu2	1
			Min:		z1 + z2
		ST
				Z	x1	x2	u1	u2	v1	v2	h1	h2		RHS
		Row zero		1							1000	1000		0
		n -equations			-16	-6	-10	-1	1				=	0
					-6	-36	-16	-1		1			=	0
		2-Equations			10	16					1		=	11
					1	1						1	=	1
		New Row Zero		1	-11000	-17000	0	0	0	0	0	0	=	-12000
				Z	x1	x2	u1	u2	v1	v2	h1	h2		RHS
Tableau 1			Row zero	1	-11000	-17000	0	0	0	0	0	0	=	-12000	Ratio
	x2 in; h1 out		v1	0	-16	-6	-10	-1	1	0	0	0	=	0
	ignore neg coeff		v2	0	-6	-36	-16	-1	0	1	0	0	=	0
			h1 (x2)	0	10	16	0	0	0	0	1	0	=	11	0.6875
			h2	0	1	1	0	0	0	0	0	1	=	1	1
Tableau 2			Row zero	1	-375	0	0	0	0	0	1063	0		-312.5
	x1 in; h2 out		v1	0	-12.25	0	-10	-1	1	0	0.38	0		4.125
	ignore neg coeff		v2	0	16.5	0	-16	-1	0	1	2.25	0		24.75	1.5
			x2	0	0.625	1	0	0	0	0	0.06	0		0.6875	1.1
			h2 (x1)	0	0.375	0	0	0	0	0	-0.1	1		0.3125	0.833333
Tableau 3	Enter u1out v1		Row zero	1	0	0	0	0	0	0	1000	1000		0
	Remove complementary Slackness		v1 (u1)	0	0	0	-10	-1	1	0	-1.7	32.7		14.333
			v2	0	0	0	-16	-1	0	1	5	-44		11
			x2	0	0	1	0	0	0	0	0.17	-1.7		0.1667
			x1	0	1	0	0	0	0	0	-0.2	2.67		0.8333
Tableau 4	Enter u2; out v2		Row zero	1	0	0	0	0	0	0	1000	1000		0
	Remove complementary Slackness		u1	0	0	0	1	0.1	-0.1	0	0.17	-3.3		-1.433
			v2 (u2)	0	0	0	0	0.6	-1.6	1	7.67	-96		-11.93
			x2	0	0	1	0	0	0	0	0.17	-1.7		0.1667
			x1	0	1	0	0	0	0	0	-0.2	2.67		0.8333
Tableau 5			Row zero	1	0	0	0	0	0	0	1000	1000		0
			u1	0	0	0	1	0	0.17	-0.2	-1.1	12.8		0.5556
			u2	0	0	0	0	1	-2.7	1.67	12.8	-160		-19.89
			x2	0	0	1	0	0	0	0	0.17	-1.7		0.1667
			x1	0	1	0	0	0	0	0	-0.2	2.67		0.8333
		DONE!
		x1	0.833333
		x2	0.166667