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---
title: Order of Growth
TARGET DECK: Obsidian::STEM
FILE TAGS: algorithm::complexity
tags:
- algorithm
- complexity
---
## Overview
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The **running time** of an algorithm is usually considered as a function of its **input size** . How input size is measured depends on the problem at hand. For instance, [[algorithms/sorting/index|sorting]] algorithms have an input size corresponding to the number of elements to sort.
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%%ANKI
Basic
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How is the running time of a program measured as a function?
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Back: As a function of its input size.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
How do you determine the input size used to measure an algorithm's running time?
Back: This depends entirely on the specific problem/algorithm.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
What *concrete* measure is typically used to measure running time?
Back: The number of primitive operations executed.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
What *abstract* measure is typically used to measure running time?
Back: It's order of growth.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Why does Cormen et al. state the scope of average-case analysis is limited?
Back: What constitutes an "average" input isn't always clear.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
What about running time are algorithm designers mostly interested in?
Back: It's order of growth.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
How does order of growth relate to running time?
Back: Order of growth measures how quickly running time grows with respect to input size.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Why are lower-ordered terms ignored when determining order of growth?
Back: They become less significant as input size grows.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Why are leading coefficients ignored when determining order of growth?
Back: They become less significant as input size grows.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Polynomials describing order of growth usually have what two parts ignored?
Back: Coefficients and lower-ordered terms.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
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%%ANKI
Basic
How do we simplify $\Theta(an^2 + bn + c)$?
Back: As $\Theta(n^2)$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Explain why asymptotic notation is useful for *both* running times and space usage.
Back: Asymptotic notation represents functions in a general sense.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
*Which* running time are algorithm designers typically concerned with?
Back: Worst-case running time.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
In asymptotic notation, how is constant space usage denoted?
Back: Space usage is $O(1)$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
How could we replace equality $f(n) = \Theta(g(n))$ to be less "abusive"?
Back: Replace $=$ with $\in$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
How is equality abused in $f(n) = \Theta(g(n))$?
Back: Here $=$ actually refers to set membership.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
How could we replace $1$ in $\Theta(1)$ to be less "abusive"?
Back: Replace $1$ with $n^0$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
*Why* does Cormen et al. consider $\Theta(1)$ to be a minor abuse?
Back: This expression does not indicate what variable is tending to infinity.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
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%%ANKI
What does it mean for function $f(n)$ to be asymptotically nonnegative?
Back: $f(n) \geq 0$ whenever $n$ is sufficiently large.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
END%%
%%ANKI
Basic
What does it mean for function $f(n)$ to be asymptotically positive?
Back: $f(n) > 0$ whenever $n$ is sufficiently large.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
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## $\Theta$-notation
![[theta-notation.png]]
$\Theta$-notation refers to a strict lower- and upper-bound. It is defined as set $$\Theta(g(n)) = \{ f(n) \mid \exists c_1, c_2, n_0 > 0, \forall n \geq n_0, 0 \leq c_1g(x) \leq f(n) \leq c_2g(n) \}$$
%%ANKI
Basic
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What kind of mathematical object is $\Theta(g(n))$?
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Back: A set.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Using typical identifiers found in $\Theta(g(n))$, what values do $c_1$, $c_2$, and $n_0$ take on?
Back: Positive constants.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
What names are usually given to the existentially quantified identifers in $\Theta(g(n))$'s definition?
Back: $c_1$, $c_2$, and $n_0$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
What name is usually given to the universally quantified identifer in $\Theta(g(n))$'s definition?
Back: $n$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Cloze
Using typical identifiers, $f(n) = \Theta(g(n))$ satisfies {$0$} $\leq$ {$c_1g(n)$} $\leq$ {$f(n)$} $\leq$ {$c_2g(n)$}.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Using typical identifiers, what is the lower bound of $c_1g(n)$ in $\Theta(g(n))$?
Back: $0$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221822 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $c_1g(n)$ in the definition of $\Theta(g(n))$?
Back: $f(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221826 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the lower bound of $f(n)$ in the definition of $\Theta(g(n))$?
Back: $c_1g(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $f(n)$ in the definition of $\Theta(g(n))$?
Back: $c_2g(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221834 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the lower bound of $c_2g(n)$ in $\Theta(g(n))$?
Back: $f(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $c_2g(n)$ in $\Theta(g(n))$?
Back: N/A
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221844 -->
END%%
%%ANKI
Cloze
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Given $f(n) = \Theta(g(n))$, we say {1:$g(n)$} is an asymptotic {2:tight} bound for {1:$f(n)$}.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
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Which notation corresponds to asymptotic tight bounds?
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Back: $\Theta$-notation.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221857 -->
END%%
%%ANKI
Basic
Every member of $\Theta(g(n))$ is expected to be asymptotically what?
Back: Nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221864 -->
END%%
%%ANKI
Basic
What condition must $g(n)$ satisfy such that otherwise $\Theta(g(n))$ is empty?
Back: $g(n)$ must be asymptotically nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
What does $\Theta(-n)$ evaluate to?
Back: $\varnothing$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
*Why* is it $\Theta(-n) = \varnothing$?
Back: Because $-n$ is not asymptotically nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221886 -->
END%%
%%ANKI
Basic
How is $\Theta(g(n))$ defined?
Back: $\{ \exists c_1, c_2, n_0 > 0, \forall n \geq n_0, 0 \leq c_1g(n) \leq f(n) \leq c_2g(n) \}$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221892 -->
END%%
%%ANKI
Basic
Using the typical identifiers, what values of $n$ are in the matrix of $\Theta(g(n))$'s definition?
Back: $n \geq n_0$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
Which asymptotic notation is this image demonstrating?
![[theta-notation.png]]
Back: $\Theta$-notation
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221904 -->
END%%
%%ANKI
Basic
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For $n < n_0 $ , what values does the $ y $ -axis take on ?
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![[theta-notation.png]]
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Back: Indeterminate.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1708974221909 -->
END%%
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%%ANKI
Basic
For $n \geq n_0$, what values does the $y$-axis take on?
![[theta-notation.png]]
Back: Nonnegative values.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
## $O$-notation
![[big-o-notation.png]]
$O$-notation refers to a strict upper-bound. It is defined as set $$O(g(n)) = \{ f(n) \mid \exists c, n_0 > 0, \forall n \geq n_0, 0 \leq f(n) \leq cg(n) \}$$
%%ANKI
Basic
What kind of mathematical object is $O(g(n))$?
Back: A set.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894066 -->
END%%
%%ANKI
Basic
Using typical identifiers found in $O(g(n))$, what values do $c$ and $n_0$ take on?
Back: Positive constants.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894068 -->
END%%
%%ANKI
Basic
What names are usually given to the existentially quantified identifers in $O(g(n))$'s definition?
Back: $c$ and $n_0$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894070 -->
END%%
%%ANKI
Basic
What name is usually given to the universally quantified identifer in $O(g(n))$'s definition?
Back: $n$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894072 -->
END%%
%%ANKI
Cloze
Using typical identifiers, $f(n) = O(g(n))$ satisfies {$0$} $\leq$ {$f(n)$} $\leq$ {$cg(n)$}.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894074 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the lower bound of $cg(n)$ in $O(g(n))$?
Back: $f(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894076 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $cg(n)$ in $O(g(n))$?
Back: N/A
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894078 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $f(n)$ in $O(g(n))$?
Back: $0$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894080 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $f(n)$ in $O(g(n))$?
Back: $cg(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
END%%
%%ANKI
Cloze
Given $f(n) = O(g(n))$, we say {1:$g(n)$} is an asymptotic {2:upper} bound for {1:$f(n)$}.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894084 -->
END%%
%%ANKI
Basic
Which notation corresponds to asymptotic upper bounds?
Back: $O$-notation.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894088 -->
END%%
%%ANKI
Basic
Every member of $O(g(n))$ is expected to be asymptotically what?
Back: Nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894091 -->
END%%
%%ANKI
Basic
What condition must $g(n)$ satisfy such that otherwise $O(g(n))$ is empty?
Back: $g(n)$ must be asymptotically nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894093 -->
END%%
%%ANKI
Basic
How is $O(g(n))$ defined?
Back: $\{ \exists c, n_0 > 0, \forall n \geq n_0, 0 \leq f(n) \leq cg(n) \}$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894096 -->
END%%
%%ANKI
Basic
Which asymptotic notation is this image demonstrating?
![[big-o-notation.png]]
Back: $O$-notation
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894098 -->
END%%
%%ANKI
Basic
When is it guaranteed $y$-values are nonnegative in the following?
![[big-o-notation.png]]
Back: When $n \geq n_0$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
%%ANKI
Basic
In set-theoretic notation, what does it mean for $\Theta$-notation to be stronger than $O$-notation?
Back: $\Theta(g(n)) \subseteq O(g(n))$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894101 -->
END%%
%%ANKI
Basic
What notation corresponds to worst-case running times?
Back: $O$-notation
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709053894103 -->
END%%
%%ANKI
Basic
Why does Cormen et al. say "insertion sort's running time is $O(n^2)$" is an abuse of notation?
Back: Because technically its running time depends on the particular input of size $n$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
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END%%
## $\Omega$-notation
![[big-omega-notation.png]]
$\Omega$-notation refers to a strict lower-bound. It is defined as set $$\Omega(g(n)) = \{ f(n) \mid \exists c, n_0 > 0, \forall n \geq n_0, 0 \leq cg(n) \leq f(n) \}$$
%%ANKI
Basic
What kind of mathematical object is $\Omega(g(n))$?
Back: A set.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157375 -->
END%%
%%ANKI
Basic
Using typical identifiers found in $\Omega(g(n))$, what values do $c$ and $n_0$ take on?
Back: Positive constants.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157377 -->
END%%
%%ANKI
Basic
What names are usually given to the existentially quantified identifers in $\Omega(g(n))$'s definition?
Back: $c$ and $n_0$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157379 -->
END%%
%%ANKI
Basic
What name is usually given to the universally quantified identifer in $\Omega(g(n))$'s definition?
Back: $n$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157381 -->
END%%
%%ANKI
Cloze
Using typical identifiers, $f(n) = \Omega(g(n))$ satisfies {$0$} $\leq$ {$cg(n)$} $\leq$ {$f(n)$}.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157383 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the lower bound of $cg(n)$ in $\Omega(g(n))$?
Back: $0$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157384 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $cg(n)$ in $\Omega(g(n))$?
Back: $f(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157386 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the lower bound of $f(n)$ in $\Omega(g(n))$?
Back: $cg(n)$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157388 -->
END%%
%%ANKI
Basic
Using typical identifiers, what is the upper bound of $f(n)$ in $\Omega(g(n))$?
Back: N/A
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157390 -->
END%%
%%ANKI
Cloze
Given $f(n) = \Omega(g(n))$, we say {1:$g(n)$} is an asymptotic {2:lower} bound for {1:$f(n)$}.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157392 -->
END%%
%%ANKI
Basic
Which notation corresponds to asymptotic lower bounds?
Back: $\Omega$-notation.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157393 -->
END%%
%%ANKI
Basic
Every member of $\Omega(g(n))$ is expected to be asymptotically what?
Back: Nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157394 -->
END%%
%%ANKI
Basic
What condition must $g(n)$ satisfy such that otherwise $\Omega(g(n))$ is empty?
Back: $g(n)$ must be asymptotically nonnegative.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157396 -->
END%%
%%ANKI
Basic
How is $\Omega(g(n))$ defined?
Back: $\{ \exists c, n_0 > 0, \forall n \geq n_0, 0 \leq cg(n) \leq f(n) \}$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157397 -->
END%%
%%ANKI
Basic
Which asymptotic notation is this image demonstrating?
![[big-omega-notation.png]]
Back: $\Omega$-notation
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157399 -->
END%%
%%ANKI
Basic
In set-theoretic notation, what does it mean for $\Theta$-notation to be stronger than $\Omega$-notation?
Back: $\Theta(g(n)) \subseteq \Omega(g(n))$
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157401 -->
END%%
%%ANKI
Basic
What notation corresponds to best-case running times?
Back: $\Omega$-notation
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157402 -->
END%%
%%ANKI
Cloze
{1:$O$}-notation is to asymptotic {2:upper}-bounds whereas {2:$\Omega$}-notation is to asymptotic {1:lower}-bounds.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157404 -->
END%%
%%ANKI
Basic
What theorem relates $\Theta(g(n))$, $O(g(n))$, and $\Omega(g(n))$?
Back: $f(n) = \Theta(g(n))$ if and only if $f(n) \in O(g(n))$ and $f(n) \in \Omega(g(n))$.
Reference: Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
<!-- ID: 1709055157406 -->
END%%
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## References
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* Thomas H. Cormen et al., *Introduction to Algorithms* , 3rd ed (Cambridge, Mass: MIT Press, 2009).
