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Playlist AP® Computer Science: Standard Algorithms 16 videos
AP Computer Science 1.4 Standard Algorithms. How many times will mystery be called for mystery(n) for n > 1?
APCS: Standard Algorithms Drill 2, Problem 1. How much slower is InefficientSum than EfficientSum in the best case for an array of n elements?
In this computer science drill question, figure out which implementation will copy one array over to another.
AP Computer Science 4.1 Standard Algorithms 173 Views
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Description:
AP Computer Science 4.1 Standard Algorithms. How much slower is InefficiantSum than EfficientSum in the best case for an array of n elements?
Transcript
- 00:00
Sorry Here's your shmoop news your it's a maze ing
- 00:07
and not at all corny Alright sorry Sometimes we just
- 00:10
do that Alright Moving on you know art ignore it
- 00:12
Don't throw up art How much slower is inefficient Some
- 00:16
than efficient Some in the best minimum case for an
Full Transcript
- 00:19
array of n elements right here in the rays list
- 00:24
go all right here your potential answers How many times
- 00:30
slower like a rap song All right well to answer
- 00:35
this one we'll have to figure out how both methods
- 00:38
work to see exactly what would make one of them
- 00:40
less efficient than the other So for efficient Some were
- 00:44
creating a loop that begins with its iterated at one
- 00:46
and adds the contents of each following array element to
- 00:49
array in deck zero until we reach the end Yeah
- 00:53
in effect index zero becomes the running total as we
- 00:56
travel through the array makes sense and it's pretty efficient
- 00:59
just like the name says inefficient Some creates a separate
- 01:03
variable toe hold are running total then visits each element
- 01:06
of the array as we had done before but here's
- 01:09
the univision part while the value of the current array
- 01:12
element is greater than zero It subtract one from it
- 01:15
and adds one to the some variable Then it checks
- 01:18
it again and again and again And i will keep
- 01:20
doing this until the array element here is zero So
- 01:24
often injure in the array Had a value of say
- 01:26
fifty We'd have to complete this process fifty times If
- 01:29
a were a million six hundred four thousand two hundred
- 01:32
ninety three Well yeah inefficient is the right word for
- 01:35
it The difference is a bit like someone opening a
- 01:37
can of corn and eating each nibble it one by
- 01:39
one versus more standard practise of opening began and chugging
- 01:43
the entire thing right there in a sec That's The
- 01:46
new mcdonald's product It's really cool and pride Okay from
- 01:49
this we can tell that the larger the values aaron
- 01:52
the array the larger the kansas corn would be and
- 01:54
the longer inefficient some would take This question is asking
- 01:57
for the best case scenario And by far the best
- 02:00
case as far as inefficient Some is concerned would be
- 02:02
in a ray full of zeros It could be enormous
- 02:05
Hundreds of thousands of zeros and we'd zip right through
- 02:08
It practically the same speed as efficient some because we'd
- 02:10
be avoiding that tedious wild loop entirely The result in
- 02:14
that best all zero case is that bullet methods would
- 02:17
run at the same speed or at least at such
- 02:20
close speeds that it would be difficult to accurately measure 00:02:22.968 --> [endTime] the difference That'll make her answer
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