Longest common prefix
up vote
3
down vote
favorite
I have made a function for finding the longest common prefix for the challenge on the leetcode site. This is the code:
var longestCommonPrefix = function(strs) {
let longestPrefix = '';
if (strs.length > 0) {
longestPrefix = strs[0];
for (let i = 1; i < strs.length; i++) {
for (let j = 0; j < longestPrefix.length; j++) {
if (strs[i][j] != longestPrefix[j]) {
longestPrefix = longestPrefix.slice(0, j);
break;
}
}
}
}
return longestPrefix;
};
I am sure there is a way to make this code better, but not sure how to do that. Would appreciate any help.
javascript algorithm strings programming-challenge
add a comment |
up vote
3
down vote
favorite
I have made a function for finding the longest common prefix for the challenge on the leetcode site. This is the code:
var longestCommonPrefix = function(strs) {
let longestPrefix = '';
if (strs.length > 0) {
longestPrefix = strs[0];
for (let i = 1; i < strs.length; i++) {
for (let j = 0; j < longestPrefix.length; j++) {
if (strs[i][j] != longestPrefix[j]) {
longestPrefix = longestPrefix.slice(0, j);
break;
}
}
}
}
return longestPrefix;
};
I am sure there is a way to make this code better, but not sure how to do that. Would appreciate any help.
javascript algorithm strings programming-challenge
add a comment |
up vote
3
down vote
favorite
up vote
3
down vote
favorite
I have made a function for finding the longest common prefix for the challenge on the leetcode site. This is the code:
var longestCommonPrefix = function(strs) {
let longestPrefix = '';
if (strs.length > 0) {
longestPrefix = strs[0];
for (let i = 1; i < strs.length; i++) {
for (let j = 0; j < longestPrefix.length; j++) {
if (strs[i][j] != longestPrefix[j]) {
longestPrefix = longestPrefix.slice(0, j);
break;
}
}
}
}
return longestPrefix;
};
I am sure there is a way to make this code better, but not sure how to do that. Would appreciate any help.
javascript algorithm strings programming-challenge
I have made a function for finding the longest common prefix for the challenge on the leetcode site. This is the code:
var longestCommonPrefix = function(strs) {
let longestPrefix = '';
if (strs.length > 0) {
longestPrefix = strs[0];
for (let i = 1; i < strs.length; i++) {
for (let j = 0; j < longestPrefix.length; j++) {
if (strs[i][j] != longestPrefix[j]) {
longestPrefix = longestPrefix.slice(0, j);
break;
}
}
}
}
return longestPrefix;
};
I am sure there is a way to make this code better, but not sure how to do that. Would appreciate any help.
javascript algorithm strings programming-challenge
javascript algorithm strings programming-challenge
edited 40 mins ago
asked Dec 7 '17 at 13:59
Leff
1747
1747
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
up vote
2
down vote
From a short review;
- You should sort the strings by length ascending if you start by assigning
longestPrefix = strs[0];
the prefix cannot be longer than the shortest string. I would assign
longestPrefix[j]
to a variable, avoiding an array access in a nested loop
I would
return
the found value instead of callingbreak
- Break only exits one iteration in the loop anyway
- It seems okay that if no string list is provided, that
undefined
is returned
Personal preference, I prefer
list
overstrs
function(strs)
creates an anonymous function, which is terrible in stack traces, just use the good oldfunction longestCommonPrefix(strs) {
*
add a comment |
up vote
2
down vote
I would find the alphabetically smallest and largest string and just run your algorithm on these two. That would avoid the embedded loop.
var longestCommonPrefix = function(strs) {
if (!strs)
return '';
let smallest = strs.reduce( (min, str) => min < str ? min : str, strs[0] );
let largest = strs.reduce( (min, str) => min > str ? min : str, strs[0] );
for (let i=0; i<smallest.length; i++) {
if (smallest[i] != largest[i])
return smallest.substr(0,i);
}
return '';
};
In answer to konijn
it would be minimally faster to get the smallest/largest by doing:
let smallest = strs[0];
let largest = strs[0];
for (let i=1; i<strs.length; i++) {
let s= strs[i];
if (s > largest) largest = s;
if (s < smallest) smallest = s;
}
Would asort
with apop
and anunshift
not be faster?
– konijn
Dec 7 '17 at 18:40
1
fwiw, I wouldn't useshift
since it requires moving all the elements in the array,[0]
would be quicker. Evenpop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)
– Marc Rohloff
Dec 7 '17 at 22:34
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
From a short review;
- You should sort the strings by length ascending if you start by assigning
longestPrefix = strs[0];
the prefix cannot be longer than the shortest string. I would assign
longestPrefix[j]
to a variable, avoiding an array access in a nested loop
I would
return
the found value instead of callingbreak
- Break only exits one iteration in the loop anyway
- It seems okay that if no string list is provided, that
undefined
is returned
Personal preference, I prefer
list
overstrs
function(strs)
creates an anonymous function, which is terrible in stack traces, just use the good oldfunction longestCommonPrefix(strs) {
*
add a comment |
up vote
2
down vote
From a short review;
- You should sort the strings by length ascending if you start by assigning
longestPrefix = strs[0];
the prefix cannot be longer than the shortest string. I would assign
longestPrefix[j]
to a variable, avoiding an array access in a nested loop
I would
return
the found value instead of callingbreak
- Break only exits one iteration in the loop anyway
- It seems okay that if no string list is provided, that
undefined
is returned
Personal preference, I prefer
list
overstrs
function(strs)
creates an anonymous function, which is terrible in stack traces, just use the good oldfunction longestCommonPrefix(strs) {
*
add a comment |
up vote
2
down vote
up vote
2
down vote
From a short review;
- You should sort the strings by length ascending if you start by assigning
longestPrefix = strs[0];
the prefix cannot be longer than the shortest string. I would assign
longestPrefix[j]
to a variable, avoiding an array access in a nested loop
I would
return
the found value instead of callingbreak
- Break only exits one iteration in the loop anyway
- It seems okay that if no string list is provided, that
undefined
is returned
Personal preference, I prefer
list
overstrs
function(strs)
creates an anonymous function, which is terrible in stack traces, just use the good oldfunction longestCommonPrefix(strs) {
*
From a short review;
- You should sort the strings by length ascending if you start by assigning
longestPrefix = strs[0];
the prefix cannot be longer than the shortest string. I would assign
longestPrefix[j]
to a variable, avoiding an array access in a nested loop
I would
return
the found value instead of callingbreak
- Break only exits one iteration in the loop anyway
- It seems okay that if no string list is provided, that
undefined
is returned
Personal preference, I prefer
list
overstrs
function(strs)
creates an anonymous function, which is terrible in stack traces, just use the good oldfunction longestCommonPrefix(strs) {
*
edited Dec 7 '17 at 17:36
answered Dec 7 '17 at 15:59
konijn
26.9k453235
26.9k453235
add a comment |
add a comment |
up vote
2
down vote
I would find the alphabetically smallest and largest string and just run your algorithm on these two. That would avoid the embedded loop.
var longestCommonPrefix = function(strs) {
if (!strs)
return '';
let smallest = strs.reduce( (min, str) => min < str ? min : str, strs[0] );
let largest = strs.reduce( (min, str) => min > str ? min : str, strs[0] );
for (let i=0; i<smallest.length; i++) {
if (smallest[i] != largest[i])
return smallest.substr(0,i);
}
return '';
};
In answer to konijn
it would be minimally faster to get the smallest/largest by doing:
let smallest = strs[0];
let largest = strs[0];
for (let i=1; i<strs.length; i++) {
let s= strs[i];
if (s > largest) largest = s;
if (s < smallest) smallest = s;
}
Would asort
with apop
and anunshift
not be faster?
– konijn
Dec 7 '17 at 18:40
1
fwiw, I wouldn't useshift
since it requires moving all the elements in the array,[0]
would be quicker. Evenpop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)
– Marc Rohloff
Dec 7 '17 at 22:34
add a comment |
up vote
2
down vote
I would find the alphabetically smallest and largest string and just run your algorithm on these two. That would avoid the embedded loop.
var longestCommonPrefix = function(strs) {
if (!strs)
return '';
let smallest = strs.reduce( (min, str) => min < str ? min : str, strs[0] );
let largest = strs.reduce( (min, str) => min > str ? min : str, strs[0] );
for (let i=0; i<smallest.length; i++) {
if (smallest[i] != largest[i])
return smallest.substr(0,i);
}
return '';
};
In answer to konijn
it would be minimally faster to get the smallest/largest by doing:
let smallest = strs[0];
let largest = strs[0];
for (let i=1; i<strs.length; i++) {
let s= strs[i];
if (s > largest) largest = s;
if (s < smallest) smallest = s;
}
Would asort
with apop
and anunshift
not be faster?
– konijn
Dec 7 '17 at 18:40
1
fwiw, I wouldn't useshift
since it requires moving all the elements in the array,[0]
would be quicker. Evenpop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)
– Marc Rohloff
Dec 7 '17 at 22:34
add a comment |
up vote
2
down vote
up vote
2
down vote
I would find the alphabetically smallest and largest string and just run your algorithm on these two. That would avoid the embedded loop.
var longestCommonPrefix = function(strs) {
if (!strs)
return '';
let smallest = strs.reduce( (min, str) => min < str ? min : str, strs[0] );
let largest = strs.reduce( (min, str) => min > str ? min : str, strs[0] );
for (let i=0; i<smallest.length; i++) {
if (smallest[i] != largest[i])
return smallest.substr(0,i);
}
return '';
};
In answer to konijn
it would be minimally faster to get the smallest/largest by doing:
let smallest = strs[0];
let largest = strs[0];
for (let i=1; i<strs.length; i++) {
let s= strs[i];
if (s > largest) largest = s;
if (s < smallest) smallest = s;
}
I would find the alphabetically smallest and largest string and just run your algorithm on these two. That would avoid the embedded loop.
var longestCommonPrefix = function(strs) {
if (!strs)
return '';
let smallest = strs.reduce( (min, str) => min < str ? min : str, strs[0] );
let largest = strs.reduce( (min, str) => min > str ? min : str, strs[0] );
for (let i=0; i<smallest.length; i++) {
if (smallest[i] != largest[i])
return smallest.substr(0,i);
}
return '';
};
In answer to konijn
it would be minimally faster to get the smallest/largest by doing:
let smallest = strs[0];
let largest = strs[0];
for (let i=1; i<strs.length; i++) {
let s= strs[i];
if (s > largest) largest = s;
if (s < smallest) smallest = s;
}
edited Dec 7 '17 at 22:37
answered Dec 7 '17 at 17:42
Marc Rohloff
2,99736
2,99736
Would asort
with apop
and anunshift
not be faster?
– konijn
Dec 7 '17 at 18:40
1
fwiw, I wouldn't useshift
since it requires moving all the elements in the array,[0]
would be quicker. Evenpop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)
– Marc Rohloff
Dec 7 '17 at 22:34
add a comment |
Would asort
with apop
and anunshift
not be faster?
– konijn
Dec 7 '17 at 18:40
1
fwiw, I wouldn't useshift
since it requires moving all the elements in the array,[0]
would be quicker. Evenpop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)
– Marc Rohloff
Dec 7 '17 at 22:34
Would a
sort
with a pop
and an unshift
not be faster?– konijn
Dec 7 '17 at 18:40
Would a
sort
with a pop
and an unshift
not be faster?– konijn
Dec 7 '17 at 18:40
1
1
fwiw, I wouldn't use
shift
since it requires moving all the elements in the array, [0]
would be quicker. Even pop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)– Marc Rohloff
Dec 7 '17 at 22:34
fwiw, I wouldn't use
shift
since it requires moving all the elements in the array, [0]
would be quicker. Even pop
requires modifying the array, but to answer your comment most sorts are quite expensive O(n.log n) or O(n^2) and require a lot of moving and copying. The two calculations could be combined in a loop if performance was really critical (see my addition)– Marc Rohloff
Dec 7 '17 at 22:34
add a comment |
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