Binary Tree and Overhead fraction Calculation

Clash Royale CLAN TAG#URR8PPP
up vote
2
down vote
favorite
Find the overhead fraction (the ratio of data space over total space) for each of the following binary tree implementations on n nodes:
2) Only leaf nodes store data; internal nodes store two child pointers. The data field requires four bytes and each pointer requires two bytes.
Above is a question from Steven Skiena Algorithm Design Manual. The answer on the wiki says:
In a full tree, given n leaf nodes, there are n-1 internal nodes. Both leaf and internal nodes are worth 4 bytes:
$4*n / (4*n + 4*(n-1))$ = $4*n / 4 * (n + n -1) = n / 2*n - 1$, this approaches 1/2 as n gets large.
I dont understand above explanation since we are given n nodes. How can you say n leaf nodes?
I calculated it in a different way. Assume we have a balanced binary tree. Let L be number of leaf nodes. Then number of internal nodes is L-1.
$$L + L-1 = n$$
$$L =n+1/2$$
$$L-1 =n-1/2$$
We can now calculate the overhead fraction as:
$$(n+1/2) * 4 / (n+1/2) * 4 + (n-1/2) * 4 $$
$$(n+1/2) / (n+1/2) + (n-1/2) $$
$$(n+1) / 2n $$
Can some help me figure out if my answer is correct ?
algorithms trees
add a comment |Â
up vote
2
down vote
favorite
Find the overhead fraction (the ratio of data space over total space) for each of the following binary tree implementations on n nodes:
2) Only leaf nodes store data; internal nodes store two child pointers. The data field requires four bytes and each pointer requires two bytes.
Above is a question from Steven Skiena Algorithm Design Manual. The answer on the wiki says:
In a full tree, given n leaf nodes, there are n-1 internal nodes. Both leaf and internal nodes are worth 4 bytes:
$4*n / (4*n + 4*(n-1))$ = $4*n / 4 * (n + n -1) = n / 2*n - 1$, this approaches 1/2 as n gets large.
I dont understand above explanation since we are given n nodes. How can you say n leaf nodes?
I calculated it in a different way. Assume we have a balanced binary tree. Let L be number of leaf nodes. Then number of internal nodes is L-1.
$$L + L-1 = n$$
$$L =n+1/2$$
$$L-1 =n-1/2$$
We can now calculate the overhead fraction as:
$$(n+1/2) * 4 / (n+1/2) * 4 + (n-1/2) * 4 $$
$$(n+1/2) / (n+1/2) + (n-1/2) $$
$$(n+1) / 2n $$
Can some help me figure out if my answer is correct ?
algorithms trees
If you have $L+L-1=n$ then $L=(n/2)+(1/2)$, not $n+(1/2)$.
â Rick Decker
Jul 10 '13 at 14:06
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
Find the overhead fraction (the ratio of data space over total space) for each of the following binary tree implementations on n nodes:
2) Only leaf nodes store data; internal nodes store two child pointers. The data field requires four bytes and each pointer requires two bytes.
Above is a question from Steven Skiena Algorithm Design Manual. The answer on the wiki says:
In a full tree, given n leaf nodes, there are n-1 internal nodes. Both leaf and internal nodes are worth 4 bytes:
$4*n / (4*n + 4*(n-1))$ = $4*n / 4 * (n + n -1) = n / 2*n - 1$, this approaches 1/2 as n gets large.
I dont understand above explanation since we are given n nodes. How can you say n leaf nodes?
I calculated it in a different way. Assume we have a balanced binary tree. Let L be number of leaf nodes. Then number of internal nodes is L-1.
$$L + L-1 = n$$
$$L =n+1/2$$
$$L-1 =n-1/2$$
We can now calculate the overhead fraction as:
$$(n+1/2) * 4 / (n+1/2) * 4 + (n-1/2) * 4 $$
$$(n+1/2) / (n+1/2) + (n-1/2) $$
$$(n+1) / 2n $$
Can some help me figure out if my answer is correct ?
algorithms trees
Find the overhead fraction (the ratio of data space over total space) for each of the following binary tree implementations on n nodes:
2) Only leaf nodes store data; internal nodes store two child pointers. The data field requires four bytes and each pointer requires two bytes.
Above is a question from Steven Skiena Algorithm Design Manual. The answer on the wiki says:
In a full tree, given n leaf nodes, there are n-1 internal nodes. Both leaf and internal nodes are worth 4 bytes:
$4*n / (4*n + 4*(n-1))$ = $4*n / 4 * (n + n -1) = n / 2*n - 1$, this approaches 1/2 as n gets large.
I dont understand above explanation since we are given n nodes. How can you say n leaf nodes?
I calculated it in a different way. Assume we have a balanced binary tree. Let L be number of leaf nodes. Then number of internal nodes is L-1.
$$L + L-1 = n$$
$$L =n+1/2$$
$$L-1 =n-1/2$$
We can now calculate the overhead fraction as:
$$(n+1/2) * 4 / (n+1/2) * 4 + (n-1/2) * 4 $$
$$(n+1/2) / (n+1/2) + (n-1/2) $$
$$(n+1) / 2n $$
Can some help me figure out if my answer is correct ?
algorithms trees
edited Aug 18 at 15:07
HugoTeixeira
18919
18919
asked Jul 10 '13 at 2:36
gopal
818
818
If you have $L+L-1=n$ then $L=(n/2)+(1/2)$, not $n+(1/2)$.
â Rick Decker
Jul 10 '13 at 14:06
add a comment |Â
If you have $L+L-1=n$ then $L=(n/2)+(1/2)$, not $n+(1/2)$.
â Rick Decker
Jul 10 '13 at 14:06
If you have $L+L-1=n$ then $L=(n/2)+(1/2)$, not $n+(1/2)$.
â Rick Decker
Jul 10 '13 at 14:06
If you have $L+L-1=n$ then $L=(n/2)+(1/2)$, not $n+(1/2)$.
â Rick Decker
Jul 10 '13 at 14:06
add a comment |Â
1 Answer
1
active
oldest
votes
up vote
0
down vote
The method makes the total number of nodes 2n not n as the question says. But for calculation of overhead fraction it does not matter since we take ratio. According to the question I think you should use:
Number of leaves $= 0.5cdot n$
Number of internal nodes$= 0.5cdot n-1$ (this a theorem of full binary tree i.e number of internal nodes is $1$ less than the number of leaves)
So now calculate total number of nodes its equal to
$$
(textleaves +textinternal nodes+ textroot)=0.5cdot n+0.5cdot n-1+1 = n
$$
Now according to the problem :
Space occupied by pointers=space occupied by internal nodes and root since leaves store no data $=(0.5cdot n-1+1)cdot 2cdot p=0.5cdot ncdot 2cdot p$ (Let $p$ be the amount of space allocated to pointer for you its $4$ bytes. $2cdot p$ because each note has $2$ pointers)
Space occupied by data$= 0.5cdot ncdot d $(d for you is again $4$ bytes)
Another thing I think is OVERHEAD fraction
$$
fractextspace taken by pointertextspace taken by data+space taken by pointer
$$
[not the reciprocal]
Therefore overhead fraction
$$
=frac0.5cdot ncdot 2cdot p(0.5cdot ncdot 2cdot p)+(0.5cdot ncdot d)=frac2cdot p2cdot p+d
$$
Hope this helps.If I am wrong please tell me. :)
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
The method makes the total number of nodes 2n not n as the question says. But for calculation of overhead fraction it does not matter since we take ratio. According to the question I think you should use:
Number of leaves $= 0.5cdot n$
Number of internal nodes$= 0.5cdot n-1$ (this a theorem of full binary tree i.e number of internal nodes is $1$ less than the number of leaves)
So now calculate total number of nodes its equal to
$$
(textleaves +textinternal nodes+ textroot)=0.5cdot n+0.5cdot n-1+1 = n
$$
Now according to the problem :
Space occupied by pointers=space occupied by internal nodes and root since leaves store no data $=(0.5cdot n-1+1)cdot 2cdot p=0.5cdot ncdot 2cdot p$ (Let $p$ be the amount of space allocated to pointer for you its $4$ bytes. $2cdot p$ because each note has $2$ pointers)
Space occupied by data$= 0.5cdot ncdot d $(d for you is again $4$ bytes)
Another thing I think is OVERHEAD fraction
$$
fractextspace taken by pointertextspace taken by data+space taken by pointer
$$
[not the reciprocal]
Therefore overhead fraction
$$
=frac0.5cdot ncdot 2cdot p(0.5cdot ncdot 2cdot p)+(0.5cdot ncdot d)=frac2cdot p2cdot p+d
$$
Hope this helps.If I am wrong please tell me. :)
add a comment |Â
up vote
0
down vote
The method makes the total number of nodes 2n not n as the question says. But for calculation of overhead fraction it does not matter since we take ratio. According to the question I think you should use:
Number of leaves $= 0.5cdot n$
Number of internal nodes$= 0.5cdot n-1$ (this a theorem of full binary tree i.e number of internal nodes is $1$ less than the number of leaves)
So now calculate total number of nodes its equal to
$$
(textleaves +textinternal nodes+ textroot)=0.5cdot n+0.5cdot n-1+1 = n
$$
Now according to the problem :
Space occupied by pointers=space occupied by internal nodes and root since leaves store no data $=(0.5cdot n-1+1)cdot 2cdot p=0.5cdot ncdot 2cdot p$ (Let $p$ be the amount of space allocated to pointer for you its $4$ bytes. $2cdot p$ because each note has $2$ pointers)
Space occupied by data$= 0.5cdot ncdot d $(d for you is again $4$ bytes)
Another thing I think is OVERHEAD fraction
$$
fractextspace taken by pointertextspace taken by data+space taken by pointer
$$
[not the reciprocal]
Therefore overhead fraction
$$
=frac0.5cdot ncdot 2cdot p(0.5cdot ncdot 2cdot p)+(0.5cdot ncdot d)=frac2cdot p2cdot p+d
$$
Hope this helps.If I am wrong please tell me. :)
add a comment |Â
up vote
0
down vote
up vote
0
down vote
The method makes the total number of nodes 2n not n as the question says. But for calculation of overhead fraction it does not matter since we take ratio. According to the question I think you should use:
Number of leaves $= 0.5cdot n$
Number of internal nodes$= 0.5cdot n-1$ (this a theorem of full binary tree i.e number of internal nodes is $1$ less than the number of leaves)
So now calculate total number of nodes its equal to
$$
(textleaves +textinternal nodes+ textroot)=0.5cdot n+0.5cdot n-1+1 = n
$$
Now according to the problem :
Space occupied by pointers=space occupied by internal nodes and root since leaves store no data $=(0.5cdot n-1+1)cdot 2cdot p=0.5cdot ncdot 2cdot p$ (Let $p$ be the amount of space allocated to pointer for you its $4$ bytes. $2cdot p$ because each note has $2$ pointers)
Space occupied by data$= 0.5cdot ncdot d $(d for you is again $4$ bytes)
Another thing I think is OVERHEAD fraction
$$
fractextspace taken by pointertextspace taken by data+space taken by pointer
$$
[not the reciprocal]
Therefore overhead fraction
$$
=frac0.5cdot ncdot 2cdot p(0.5cdot ncdot 2cdot p)+(0.5cdot ncdot d)=frac2cdot p2cdot p+d
$$
Hope this helps.If I am wrong please tell me. :)
The method makes the total number of nodes 2n not n as the question says. But for calculation of overhead fraction it does not matter since we take ratio. According to the question I think you should use:
Number of leaves $= 0.5cdot n$
Number of internal nodes$= 0.5cdot n-1$ (this a theorem of full binary tree i.e number of internal nodes is $1$ less than the number of leaves)
So now calculate total number of nodes its equal to
$$
(textleaves +textinternal nodes+ textroot)=0.5cdot n+0.5cdot n-1+1 = n
$$
Now according to the problem :
Space occupied by pointers=space occupied by internal nodes and root since leaves store no data $=(0.5cdot n-1+1)cdot 2cdot p=0.5cdot ncdot 2cdot p$ (Let $p$ be the amount of space allocated to pointer for you its $4$ bytes. $2cdot p$ because each note has $2$ pointers)
Space occupied by data$= 0.5cdot ncdot d $(d for you is again $4$ bytes)
Another thing I think is OVERHEAD fraction
$$
fractextspace taken by pointertextspace taken by data+space taken by pointer
$$
[not the reciprocal]
Therefore overhead fraction
$$
=frac0.5cdot ncdot 2cdot p(0.5cdot ncdot 2cdot p)+(0.5cdot ncdot d)=frac2cdot p2cdot p+d
$$
Hope this helps.If I am wrong please tell me. :)
edited May 12 '15 at 20:18
quapka
1,251619
1,251619
answered May 12 '15 at 19:44
Jeeco
11
11
add a comment |Â
add a comment |Â
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f440137%2fbinary-tree-and-overhead-fraction-calculation%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
If you have $L+L-1=n$ then $L=(n/2)+(1/2)$, not $n+(1/2)$.
â Rick Decker
Jul 10 '13 at 14:06