
Numerical Analysis, Books A La Carte Edition (3rd Edition)
3rd Edition
ISBN: 9780134697338
Author: Timothy Sauer
Publisher: PEARSON
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Question
Chapter 11.1, Problem 5E
To determine
To Prove : equations 11.6 and 11.7 by carrying out the trigonometry needed.
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Students have asked these similar questions
a) Suppose that we are carrying out the 1-phase simplex algorithm on a linear program in
standard inequality form (with 3 variables and 4 constraints) and suppose that we have
reached a point where we have obtained the following tableau. Apply one more pivot
operation, indicating the highlighted row and column and the row operations you carry
out. What can you conclude from your updated tableau?
x1 12 23
81
82
83
S4
$1
-20
1 1
0
0
0
3
82
3 0
-2
0
1
2
0
6
12
1
1
-3
0
0
1
0
2
84
-3 0
2
0
0
-1 1 4
2
-2
0 11
0
0
-4
0
-8
b) Solve the following linear program using the 2-phase simplex algorithm. You should give
the initial tableau and each further tableau produced during the execution of the
algorithm. If the program has an optimal solution, give this solution and state its
objective value. If it does not have an optimal solution, say why.
maximize 21 - - 2x2 + x3 - 4x4
subject to 2x1+x22x3x4≥ 1,
5x1+x2-x3-4 -1,
2x1+x2-x3-342,
1, 2, 3, 4 ≥0.
Suppose we have a linear program in standard equation form
maximize c'x
subject to Ax=b,
x≥ 0.
and suppose u, v, and w are all optimal solutions to this linear program.
(a) Prove that zu+v+w is an optimal solution.
(b) If you try to adapt your proof from part (a) to prove that that u+v+w
is an optimal solution, say exactly which part(s) of the proof go wrong.
(c) If you try to adapt your proof from part (a) to prove that u+v-w is an
optimal solution, say exactly which part(s) of the proof go wrong.
(a) For the following linear programme, sketch the feasible region and the direction
of the objective function. Use you sketch to find an optimal solution to the
program. State the optimal solution and give the objective value for this
solution.
maximize +22
subject to 1 + 2x2 ≤ 4,
1 +3x2 ≤ 12,
x1, x2 ≥0
(b) For the following linear programme, sketch the feasible region and the direction
of the objective function. Explain, making reference to your sketch, why this
linear programme is unbounded.
maximize
₁+%2
subject to
-2x1 + x2 ≤ 4,
x1 - 2x2 ≤4,
x1 + x2 ≥ 7,
x1,x20
Give any feasible solution to the linear programme for which the objective
value is 40 (you do not need to justify your answer).
Chapter 11 Solutions
Numerical Analysis, Books A La Carte Edition (3rd Edition)
Ch. 11.1 - Use the 22 DCT matrix and Theorem 11.2 to find the...Ch. 11.1 - Prob. 2ECh. 11.1 - Prob. 3ECh. 11.1 - Prob. 4ECh. 11.1 - Prob. 5ECh. 11.1 - (a) Prove the trigonometric formula...Ch. 11.1 - Prob. 7ECh. 11.1 - Plot the data from Exercise 3, along with the DCT...Ch. 11.1 - Plot the data along with the m=4,6, and 8 DCT...Ch. 11.1 - Plot the function f(t), the data points...
Ch. 11.2 - Prob. 1ECh. 11.2 - Prob. 2ECh. 11.2 - Prob. 3ECh. 11.2 - Use the quantization matrix Q=[ 102020100 ] to...Ch. 11.2 - Prob. 1CPCh. 11.2 - Prob. 2CPCh. 11.2 - Obtain a grayscale image file of your choice, and...Ch. 11.2 - Carry out the steps of Computer Problem 3, but...Ch. 11.2 - Obtain a color image file of your choice. Carry...Ch. 11.2 - Prob. 6CPCh. 11.3 - Prob. 1ECh. 11.3 - Prob. 2ECh. 11.3 - Draw a Huffman tree and convert the message,...Ch. 11.3 - Translate the transformed, quantized image...Ch. 11.4 - Prob. 1ECh. 11.4 - Prob. 2ECh. 11.4 - Prob. 3ECh. 11.4 - Prob. 4ECh. 11.4 - Prob. 5ECh. 11.4 - Prob. 6ECh. 11.4 - Prob. 7ECh. 11.4 - Prob. 8ECh. 11.4 - Prob. 9ECh. 11.4 - Prob. 10ECh. 11.4 - Prob. 1CPCh. 11.4 - Prob. 2CPCh. 11.4 - Prob. 1SACh. 11.4 - Prob. 2SACh. 11.4 - Prob. 3SACh. 11.4 - Prob. 4SACh. 11.4 - Prob. 5SACh. 11.4 - Prob. 6SACh. 11.4 - Build two separate subprograms, a coder and a...
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