How can I derive my Lagrange Function (handwritten) into the form from the other screenshot? Parameter: c = [-5, -3] A = [[2, 2], [2, -4], [-2, 1], [0, -1], [0, 1]] b = [33, 8, 5, -1, 8]
How can I derive my Lagrange Function (handwritten) into the form from the other screenshot? Parameter: c = [-5, -3] A = [[2, 2], [2, -4], [-2, 1], [0, -1], [0, 1]] b = [33, 8, 5, -1, 8]
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter7: Eigenvalues And Eigenvectors
Section7.4: Applications Of Eigenvalues And Eigenvectors
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Question
How can I derive my Lagrange Function (handwritten) into the form from the other screenshot?
Parameter: c = [-5, -3] A = [[2, 2], [2, -4], [-2, 1], [0, -1], [0, 1]] b = [33, 8, 5, -1, 8]
![2(x, 2) =
бlix, 2)
бх
5x - 3x2 + 2 (2х, +2x2-33) +
х2 (2x,-их2-8)
X4
(-X₂ + 1)
=
5x
+
8+
2з 1-2X, + Хz2-5)
25
(72:8)
2 дит.24]
(-332-872 - 523 + ди
8же
ихл
523 ]
[
8xg)
(−5+22₁ +22₂ -273)
хе 1-3+221-их 2+23-24)
-8ks]
33]
2.72.
из
хи
=0](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4dd8a383-3e1a-4ef5-8984-209813735676%2F444fcfcd-fb8f-43d8-86f1-3a40a02b55e5%2Fa4jo5to_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2(x, 2) =
бlix, 2)
бх
5x - 3x2 + 2 (2х, +2x2-33) +
х2 (2x,-их2-8)
X4
(-X₂ + 1)
=
5x
+
8+
2з 1-2X, + Хz2-5)
25
(72:8)
2 дит.24]
(-332-872 - 523 + ди
8же
ихл
523 ]
[
8xg)
(−5+22₁ +22₂ -273)
хе 1-3+221-их 2+23-24)
-8ks]
33]
2.72.
из
хи
=0
![Example: Linear Programming
Therefore, the dual Lagrangian is D(A) = -A¹b. Recall we would like
to maximize (X). In addition to the constraint due to the derivative of
L(x, A) being zero, we also have the fact that X > 0, resulting in the
following dual optimization problem
80 von 84
- bTx
max
XER™
subject to c+A¹A=0
A > 0.
(7.43)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4dd8a383-3e1a-4ef5-8984-209813735676%2F444fcfcd-fb8f-43d8-86f1-3a40a02b55e5%2F3p6alon_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Example: Linear Programming
Therefore, the dual Lagrangian is D(A) = -A¹b. Recall we would like
to maximize (X). In addition to the constraint due to the derivative of
L(x, A) being zero, we also have the fact that X > 0, resulting in the
following dual optimization problem
80 von 84
- bTx
max
XER™
subject to c+A¹A=0
A > 0.
(7.43)
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