text
stringlengths
1
81
start
float64
0
10.1k
duration
float64
0
24.9
in a linked list or the first thing in a tree.
4,194.029
1.901
And in this case, we would call that first thing
4,195.93
1.999
in a tree a root, generally speaking.
4,197.929
2.521
So, the first thing I had better do in my search function
4,200.45
2.78
is check, wait a minute.
4,203.23
1.16
If tree equals equals null, don't do anything.
4,204.39
3.88
Do not risk touching any pointers, because as you may have gleaned already
4,208.27
3.95
or soon will with some of CS50's problems,
4,212.22
2.5
you will cause quite probably a segmentation fault,
4,214.72
4.63
a memory-related problem in your program such that it just crashes.
4,219.35
3.28
It literally says segmentation fault on this screen
4,222.63
2.88
if you touch memory that you should not.
4,225.51
1.71
And you should not touch null values.
4,227.22
2.22
You should not go to null values.
4,229.44
1.76
You should not do star of any value that itself might be null.
4,231.2
3.89
And so, if tree equals equals null is super, super important here,
4,235.09
3.74
because I want to make sure to immediately
4,238.83
1.75
say, well, if you hand me null, that's like handing me no tree whatsoever.
4,240.58
3.53
So, my answer is obviously false.
4,244.11
1.72
N can't be in a non-existent tree.
4,245.83
2.84
But we need that condition up top, because the next case
4,248.67
3.135
is [? noticed through ?] the following.
4,251.805
1.625
Else if n-- the value we're looking for-- is less
4,253.43
3.95
than the value of n in this node-- tree, recall,
4,257.38
4.39
doesn't refer to the whole thing, per se, in this context.
4,261.77
2.54
It refers to the current node that we've been
4,264.31
1.89
past, which at the beginning of the story is the root of the tree.
4,266.2
3.11
So, if the number n in the root of the tree is greater than the number
4,269.31
4.43
we're looking for, we want to go to the left.
4,273.74
3.77
Else we want to go to the right and search the right subtree.
4,277.51
5.81
So, what's the syntax here?
4,283.32
1.5
If the n we're looking for, like 44, is less
4,284.82
3.21
than the value at the current node, 55, then what do we want to do?
4,288.03
5.18
We want to call search, still searching for the same number n
4,293.21
4.06
but searching on the left subtree.
4,297.27
2.85
And how do you pass in a pointer to the left tree?
4,300.12
3.86
Well, you have in tree a pointer to the root node.
4,303.98
3.44
Tree arrow left just means go to my left child and past that value in instead,
4,307.42
4.83
pass its address in instead.
4,312.25
1.23
Meanwhile, if the number you're looking for
4,313.48
2.43
is actually greater than the value in the current node, search
4,315.91
2.75
the right subtree, else return true.
4,318.66
5.12
Because if the list is not null-- if there is actually a list and the number
4,323.78
4.56
you're looking for is not less than the current node
4,328.34
2.27
and it's not greater than the current node, it must be the current node,
4,330.61
4.17
so you can return true.
4,334.78
2.39
But there's one important detail here.
4,337.17
2.09
I didn't just call search.
4,339.26
1.96
I called return search in each of these two middle cases.
4,341.22
3.75
Why is that?
4,344.97
0.786
Well, this is where recursion gets potentially a little mind bending.
4,345.756
2.874
Recursion is the act of a function calling itself.
4,348.63
3.53
Now, in and of itself, that sounds bad, because if a function calls itself,
4,352.16
3.63
why wouldn't it call itself again, and again, and again, and again, and again,
4,355.79
4.27
and just do this infinitely many times such
4,360.06
2.06
that now you get a stack overflow where all of those frames on the stack
4,362.12
3.06
hit the heap and bad things happen.
4,365.18
1.89
But no, recursion works beautifully so long as every time you recurse,
4,367.07
5.58
every time a function calls itself it takes a smaller byte of the problem.
4,372.65
6.01
Or rather, put another way, it throws away
4,378.66
2.31
half of the problem, as in this case, and looks only at a remaining half.
4,380.97
3.042
Because if you keep shrinking, shrinking, shrinking, shrinking
4,384.012
2.583
the problem, you will eventually hit this base case
4,386.595
2.475
where either there is no more tree or you're looking right at the node
4,389.07
4.16
that you want to find.
4,393.23
1.27
And so, by returning search and tree left,
4,394.5
3.52
or returning search and tree right, you're deferring the answer.
4,398.02
4.72
When you, the search function, are called and asked
4,402.74
3.22
is the number 44 in this tree, you might not
4,405.96
2.875
know because the node you're looking at at the beginning of the story
4,408.835
2.875
was again 55.
4,411.71
1.57
But you know who does know?
4,413.28
1.21
I bet my left child will know the answer to that if I just
4,414.49
3.05
ask it by passing it-- passing to search a pointer to it, my left child,
4,417.54
6.98
and passing in that same number 44.
4,424.52
2.31
So, saying return search is like saying I don't know.
4,426.83
3.5
Ask my left child.
4,430.33
1
Or I don't know, ask my right child and let me return as my answer
4,431.33
4.39
whatever my child's answer is instead.
4,435.72
3.52
So, you could do this same function using iteration.
4,439.24
4.4
But you could solve it arguably much more elegantly here using recursion,
4,443.64
5.475
because a data structure like this-- like a binary search tree,
4,449.115
2.625
which again is recursively defined-- each node is conceptually
4,451.74
4.15
identical, if numerically different from the others,
4,455.89
3.14
allows us to apply this algorithm, this recursive algorithm
4,459.03
4.69
to that particular data structure.
4,463.72
3.264
Now, let's look at a more concrete incarnation
4,466.984
1.916
of trees that allows us to do something pretty neat and pretty real world.
4,468.9
4.23
Indeed, this is another problem borne of a real world domain of compression.
4,473.13
5.02
We talked a couple weeks ago about encryption,
4,478.15
2.07
the art of concealing or scrambling information.
4,480.22
2.33
Compression, meanwhile, is the art of taking something that's this big
4,482.55
3.54
and compressing it to make it smaller, ideally without losing any information.
4,486.09
5.24
It's pretty easy to take a 10 page essay that's
4,491.33
3.01
maybe-- that was supposed to be a five page essay
4,494.34
2.63
and just remove paragraphs from it or remove sentences from it.
4,496.97
3.85
But that changes the meaning of the paper, makes it a worse paper,
4,500.82
3.45
even though you're compressing it by making it smaller.
4,504.27
2.33
No, what most students would typically do, if you've written 10 pages
4,506.6
2.82
and it needs to fit into five, you really, really, really
4,509.42
2.3