Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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2.3 Methematical Analysis of Nonrecursive Algorithms
1. Lighter or heavier? You have n>2 identical-looking coins and a two-pan
halance scale with no weights. One of the coins is a fake, but you do not know
whether it is lighter or heavier than the genuine coins, which all weigh the
same. Design a e(1) algorithm to determine whether the fake coin is lighter
or heavier than the others.
12 Door in a wall You are facing a wall that stretches infinitely in both direc-
nions There is a door in the wall, but you know neither how far away nor in
which direction. You can see the door only when you are right next to it. De-
sign an algorithm that enables you to reach the door by walking at most 0(n)
steps where n is the (unknown to you) number of steps between your initial
position and the door. [Par95]
2.3 Mathematical Analysis of Nonrecursive Algorithms
In this section, we systematically apply the general framework outlined in Section
21 to analyzing the time efficiency of nonrecursive algorithms. Let us start wit
a very simple example that demonstrates all the principal steps typically taken
analyzing such algorithms.
EXAMDLE
Transcribed Image Text:61 2.3 Methematical Analysis of Nonrecursive Algorithms 1. Lighter or heavier? You have n>2 identical-looking coins and a two-pan halance scale with no weights. One of the coins is a fake, but you do not know whether it is lighter or heavier than the genuine coins, which all weigh the same. Design a e(1) algorithm to determine whether the fake coin is lighter or heavier than the others. 12 Door in a wall You are facing a wall that stretches infinitely in both direc- nions There is a door in the wall, but you know neither how far away nor in which direction. You can see the door only when you are right next to it. De- sign an algorithm that enables you to reach the door by walking at most 0(n) steps where n is the (unknown to you) number of steps between your initial position and the door. [Par95] 2.3 Mathematical Analysis of Nonrecursive Algorithms In this section, we systematically apply the general framework outlined in Section 21 to analyzing the time efficiency of nonrecursive algorithms. Let us start wit a very simple example that demonstrates all the principal steps typically taken analyzing such algorithms. EXAMDLE
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