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Questions and Answers
Which algorithm has the worst time complexity for computing 1+2+...+n?
Which algorithm has the worst time complexity for computing 1+2+...+n?
In Algorithm B, what is the purpose of the inner loop (for j = n to i)?
In Algorithm B, what is the purpose of the inner loop (for j = n to i)?
Which algorithm provides a closed-form expression for the sum of 1 to n?
Which algorithm provides a closed-form expression for the sum of 1 to n?
What is the purpose of the loop in Algorithm A that runs from 1 to n?
What is the purpose of the loop in Algorithm A that runs from 1 to n?
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Which algorithm requires the least number of total operations to compute 1+2+...+n?
Which algorithm requires the least number of total operations to compute 1+2+...+n?
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If n is the input size, what is the complexity of Algorithm B in terms of T(n)?
If n is the input size, what is the complexity of Algorithm B in terms of T(n)?
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What is the definition of f(n) = Ω(g(n))?
What is the definition of f(n) = Ω(g(n))?
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In Example 2, what is the value of c and n0 used to prove that T(n) = 3n + 2 is an element of Ω(n)?
In Example 2, what is the value of c and n0 used to prove that T(n) = 3n + 2 is an element of Ω(n)?
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What is the relationship between the Θ(g(n)) and O(g(n)) notations?
What is the relationship between the Θ(g(n)) and O(g(n)) notations?
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In Example 4, what is the value of c and n0 used to prove that T(n) = 10n^2 + 4n + 2 is an element of O(n^2)?
In Example 4, what is the value of c and n0 used to prove that T(n) = 10n^2 + 4n + 2 is an element of O(n^2)?
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What is the purpose of the Ω(g(n)) notation?
What is the purpose of the Ω(g(n)) notation?
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In Example 3, what are the values of c1, c2, and n0 used to prove that T(n) = 3n + 2 is an element of Θ(n)?
In Example 3, what are the values of c1, c2, and n0 used to prove that T(n) = 3n + 2 is an element of Θ(n)?
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How do we prove that $T(n) = \Omega(n^2)$?
How do we prove that $T(n) = \Omega(n^2)$?
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For the function $T(n) = 10n^2 + 4n + 2$, what values of $c$ and $n_0$ can be used to prove $T(n) = \Omega(n^2)$?
For the function $T(n) = 10n^2 + 4n + 2$, what values of $c$ and $n_0$ can be used to prove $T(n) = \Omega(n^2)$?
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What is the Big-Oh time complexity of multiplying two arrays of size $n$?
What is the Big-Oh time complexity of multiplying two arrays of size $n$?
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What is the best case time complexity of a function $f(n)$, denoted as $\Omega(g(n))$?
What is the best case time complexity of a function $f(n)$, denoted as $\Omega(g(n))$?
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For the function $f(n) = 3n^2 + 20$, what values of $c$ and $n_0$ can be used to prove $f(n) = O(n^2)$?
For the function $f(n) = 3n^2 + 20$, what values of $c$ and $n_0$ can be used to prove $f(n) = O(n^2)$?
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What is the time complexity of the function $T(n) = 2n + 3$?
What is the time complexity of the function $T(n) = 2n + 3$?
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