Solve the linear programming problems in Problem 21-36 by applying the simplex method to the dual problem. Minimize C = 7 x 1 + 5 x 2 subject to x 1 + x 2 ≥ 4 x 1 − 2 x 2 ≥ − 8 − 2 x 1 + x 2 ≥ − 8 x 1 , x 2 ≥ 0
Solve the linear programming problems in Problem 21-36 by applying the simplex method to the dual problem. Minimize C = 7 x 1 + 5 x 2 subject to x 1 + x 2 ≥ 4 x 1 − 2 x 2 ≥ − 8 − 2 x 1 + x 2 ≥ − 8 x 1 , x 2 ≥ 0
Solution Summary: The author explains how to calculate the solution of the minimization problem by determining the dual form of it.
x
The function f is shown below. If I is the function defined by g(x) = √ ƒ(t) dt, find the value of g"(-8) in simplest form.
g
-1
8
y
7
10
6
LC
5
4
3 2
1
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1
1
2
3
-1
-2
-3
-4
-5
56
-6
-7
-8
4 5
Graph of f
10
6
00
7 8
9 10
x
In Problems 1-16 the indicated function y₁(x) is a solution of the
given differential equation. Use reduction of order or formula (5), as
instructed, to find a second solution y2(x).
1. y" - 4y' + 4y = 0; yı
=
e2x
The function f is shown below. If g is an antiderivative of f such that g(6) = 2, what is the maximum value of g on the closed interval
[-9,9]?
8
7
6
Сл
5
4
3
1
y
Graph of f
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1
1
23 4
-1
-2
-3
-4
-6
56
-5
-7
-8
LO
5
9
7
8
9
10
University Calculus: Early Transcendentals (4th Edition)
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