By week ten,
the focus was mainly on project 2, recursion and list of operations and Fibonacci
numbers. During that week, we received a little of background about the project
thematic. This was mainly focus on animation. We were asked to run an infection,
and to play around with the immunity and infection duration, to see how
virulent a disease could be. Additional to the project introduction, we focused
more on recursion operations on extensive lists, such as the ones that conform
a webpage. There was not difficulty in that topic, because it was similar to what
we have been doing the rest of the semester. Moving out from the recursion and
list operations, the class focus was the introduction of Fibonacci numbers. The
main notion was to understand that computers are not as fast as we think. In
fact, with Fibonacci numbers, we observed that the computer had a tough time
processing the command due to the redundancy in the definition. Thus, we ended
it up with a situation where sometimes the computation blows up, because of the
redundant calculations. The entertaining part began here, we started to create
a solution to this problem. But first, we calculated the time for Fibonacci
100, just to see how long the computer will take. As we increased the Fibonacci
number, the ratio of time increased as well, by a ratio of 1.6. Therefore, to
calculate Fibonacci 100, the computer will take around 18 billion of years. Sometimes
there is some sort of happiness or utility to do computation that take time.
For instance, passwords have a vast number of combinations. And because many
people are trying to hack our passwords, it is a good consequence that
processing all the combinations take that long. But in other occasions, such as
the Fibonacci numbers, re-implementing a definition is needed. As we established
before, the problem was that we were almost doubling the ratio of time. The reimplementation
for this problem was to produce to numbers instead of one, for example fib10
and its predecessor fib9. This will reduce the number of computations to 100,
which is fairly quickly for a computer to do. Overall, the baseline at the end
of this week was that we can make computation faster and shorter by rethinking
how implement a function.
Along with the concepts of colors, we started the animations topic. In fact, an image is not animated if does not change somehow. To change an image, we use the function repeated which takes 3 inputs: a function, an image and a number. However, this function produces a list of images, not exactly an animation. Thus, we started to work with the big-bang function. As its name suggests, big-bang function creates something, in this case an animation. Even though this new command allows us to create something different and unique, as an animation; I did not like it at first because I had trouble initially understanding what it is asking me to do. Specifically, I was confused on the use of freeze which is a function that basically delete all the previous information of the element, in this case animation. What happens is that you delete all the previous information of an animation. In other words, you cannot come back to the original image. I understood that after performing by myself di...
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