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AP Computer Science 3.1 Review of the Basics 168 Views
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Description:
AP Computer Science 3.1 Review of the Basics. What can you expect about the outcome from running this code?
Transcript
- 00:00
Thank you We sneak and here's your smoke Use your
- 00:05
brought to you by double variables double the precision Double
- 00:10
the things you have to worry about All right Well
- 00:12
what can you expect about the outcome from running this
- 00:14
code This coat right here and here The pencil answers
Full Transcript
- 00:19
shmoop overflowed running All right so let's go let's Start
- 00:25
with a look at what This coat actually does Step
- 00:27
by step we'll first we create a double variable called
- 00:30
numb with the value is your appoint one Then we
- 00:33
begin a four loop that starts with an injured eye
- 00:35
at zero stops when eyes no longer less than one
- 00:38
hundred and increment i by one Each time the loop
- 00:41
is run Essentially this loophole run one hundred times each
- 00:44
son loop cycles we make numb equal the value of
- 00:47
one divided by num minus nine point nine Phillips put
- 00:50
real numbers to it This means for the first generation
- 00:53
one divided by num a zero point one would equals
- 00:57
ten Got it one by one then ten minus nine
- 01:01
point nine his point one And we're back where we
- 01:03
started so Luke will run 99 more times and since
- 01:06
none will always equal point one when we cycle the
- 01:09
result will always be point one again In theory we're
- 01:13
dealing with a double variable here double means double precision
- 01:17
floating point variable got it and floating point variables aren't
- 01:22
the rigid representation of riel numbers we might expect In
- 01:26
fact the floating point bearable is more like a very
- 01:28
good guess at a very precise number It's never quite
- 01:32
exact even the very simple point one plus point two
- 01:35
in floating point variables wouldn't give you a point Three
- 01:38
you get something like point three zero zero for or
- 01:44
thereabouts hearts let's try something if you have your compiler
- 01:47
handy add the following lines to this code and run
- 01:51
it and we'll see what happens if you don't have
- 01:53
your compiler handy well and just we'll put system out
- 01:57
front line number right here in the loop That way
- 02:00
it'll print the current value of numb each time the
- 02:03
loop cycles and we'll be able to see how it
- 02:05
changes over time and for those not ableto participate Well
- 02:09
here's a picture of wild turkey these things you're huge
- 02:11
all right and here's what The result looks like weird
- 02:15
Right What happened Well the imperfections in the floating point
- 02:20
operations kept magnifying themselves over and over and over getting
- 02:24
worse and worse and loris with each iteration before finally
- 02:27
settling in at negative ten Those faras our potential answers
- 02:31
go option a Yep they're being overflowed No no overflow
- 02:35
ares occurred Option b there will be under flow so
- 02:39
after running numb will equal zero Also no option c
- 02:43
after running numb will equals your appointment Well sure the
- 02:46
code may look like things will remain in zero point
- 02:48
one on paper but using a floating point variable means
- 02:51
the exact value of zero point one is not gonna
- 02:54
happen Option d after running none will not equal zero
- 02:58
point one Well that's right For a moment it even
- 03:01
seemed like num was equal to just about everything but
- 03:03
zero point one option e both andy well no ass
- 03:07
for overflow and there was no So our answer is
- 03:09
d and we're number one or rather we're number one 00:03:12.768 --> [endTime] point lobo too
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