A growth-rate function is a mathematical function used to indicate an algorithm's time efficiency in terms...
A growth-rate function is a mathematical function used to indicate an algorithm's time efficiency in terms of the size of the problem.
a. True
b. False
If a problem of size n requires time that is directly proportional to n, the problem is ______.
a. O(1)
b. O(n)
c. O(n2)
d. O(log2 n)
The recursive binary search algorithm is a logarithmic
algorithm.
a. True
b. False
Which of the following growth-rate functions indicates a problem whose time requirement is constant?
a. 1
b. n
c. n2
d. log2 n
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A growth-rate function is a mathematical function used to
indicate an algorithm's time efficiency in terms...
Here are some common orders of growth, ranked from no growth to fastest growth: Θ(1) — constant time takes the same amount of time regardless of input size Θ(log n) — logarithmic time Θ(n) — linear t...
Here are some common orders of growth, ranked from no growth to
fastest growth:
Θ(1) — constant time takes the same amount of time regardless
of input size
Θ(log n) — logarithmic time
Θ(n) — linear time
Θ(n log n) — linearithmic time
Θ(n2 ) — quadratic time
Θ(n3 ), etc. — polynomial time
Θ(2n), Θ(3n), etc. — exponential time
(considered “intractable”; these are really, really horrible)
In addition, some programs will never terminate if they get
stuck in an...
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explanations:
1) Of the following, which has the most impact on the efficiency
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b) the size of the table
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Here are some common orders of growth, ranked from no growth to
fastest growth:
Θ(1) — constant time takes the same amount of time regardless
of input size
Θ(log n) — logarithmic time
Θ(n) — linear time
Θ(n log n) — linearithmic time
Θ(n2 ) — quadratic time
Θ(n3 ), etc. — polynomial time
Θ(2n), Θ(3n), etc. — exponential time
(considered “intractable”; these are really, really horrible)
In addition, some programs will never terminate if they get
stuck in an...
1. (10 points) Write an efficient iterative (i.e., loop-based) function Fibonnaci(n) that returns the nth Fibonnaci number. By definition Fibonnaci(0) is 1, Fibonnaci(1) is 1, Fibonnaci(2) is 2, Fibonnaci(3) is 3, Fibonnaci(4) is 5, and so on. Your function may only use a constant amount of memory (i.e. no auxiliary array). Argue that the running time of the function is Θ(n), i.e. the function is linear in n. 2. (10 points) Order the following functions by growth rate: N, \N,...
LOGISTI We know that if the number of individuals, N, in a population at time t follows an exponential law of growth, then N-N, exr where k >0 and No is the population when t -o. es that at time, t, the rate of growth, N, of the population is proportional to dt dN the number of individuals in the population. That is, kN Under exponential growth, a population would get infinitely large as time goes on. In reality, when...
I will rate your answers so please make sure the answers are
accurate. Please answer the following questions with fully
explanations:
1) Of the following, which has the most impact on the efficiency
of searching for an item in a hash table?
a) the number of non-key fields
b) the size of the table
c) the density of the table
d) whether the size of the table is a prime number
e) the difficulty of computing the inverse of the...
1. [5 marks Show the following hold using the definition of Big Oh: a) 2 mark 1729 is O(1) b) 3 marks 2n2-4n -3 is O(n2) 2. [3 marks] Using the definition of Big-Oh, prove that 2n2(n 1) is not O(n2) 3. 6 marks Let f(n),g(n), h(n) be complexity functions. Using the definition of Big-Oh, prove the following two claims a) 3 marks Let k be a positive real constant and f(n) is O(g(n)), then k f(n) is O(g(n)) b)...
Part A Analyze the following recurrences and show their time complexity functions using (I) iteration method and (2) Master Theorem. AI. T(n) = 2T 3 A2. T(n) = 3T 2n АЗ. Т(п) — Т(п — 2) + 3 А4. Т(п) — 2Т (п — 1) + 1 A5. T(n)= 4T +n log n A6. T(n) = 3T +n log n n2 A7. T(n) = 27 Part B Do 2.3-4 (р39) and Problem 2-1 (р39) Part C Implement MERGE-SORT() algorithm that...
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