Solve the LP problem. If no optimal solution exists, indicate
whether the feasible region is empty or the objective function is
unbounded. HINT [See Example 1.] (Enter EMPTY if the region is
empty. Enter UNBOUNDED if the function is unbounded.)
Minimize c = 0.2x + 0.3y subject to
0.2x
+
0.1y
≥
1
0.15x
+
0.3y
≥
1.5
10x
+
10y
≥
80
x ≥ 0, y ≥ 0.
c
=
(x,
y) =
Find all basic feasible solutions for the following LP and
identify the adjacent basic feasible solutions of each basic
feasible solution.
max z= 3x1 +5x2 s.t.
x1 <4
2x2 < 12
3x1 +2x2 < 18
x1>0, x2>0
We saw in class that each LP can be transformed into an
equivalent LP in any of the following two forms below: (1) maxcTx:
Ax=b, x≥0 (2) maxcTx: Ax≤b. Can we always transform any LP in an LP
of the form Prove your answer correct. maxcTx: Ax=b?
Distinguish between basic feasible solution, feasible solution
and optimal solution of a linear programming problem. Solve the
following LPP graphically:
Y=q1+4q2
Subject to 2q1+6q2<=36
2q1+2q2<=16
4q1+2q2<=28
q1,q2>=0
1. How we can determine Na concentration in solution
(what is the relationship
between # of photons emitted vs.
concentration)?
2. •Explain energy diagram of Na in room temperature and
what happens if atoms are subjected to high temperature
(2000K).
3. How I calculate RSD% ?
1. How we can determine Na concentration in solution
(what is the relationship
between # of photons emitted vs.
concentration)?
2. •Explain energy diagram of Na in room temperature and
what happens if atoms are subjected to high temperature
(2000K).
3. How I calculate RSD% ?