Time Complexity and Big O Notation (with
notes)
CodeWithHarry
So the input size didn't increase and the runtime of the algorithms
didn't increase either .No , it doesn't depend on the size of the
input . When we ask questions like as the input will increase, Then
the runtime will change as per what? And after that Now you will go
to aunty's house You will be treated. Consider there are different
routes to come and go.
I want to tell you guys one story. It happened like this , I was bored
in my house. I was so bored that I needed some entertainment. This
guy has amazing games like Pubg and GTA5. So he has a collection
of games. He likes playing games a lot. And you can get every type
of game from him. But there is one problem , I also use jio. He also
uses jio and we get just 1 Gb for one day. And with more internet ,
we ca n't sell files and all. So for me , what is the fastest way to take
the game from this friend. So what will I do ? I will take my bike As
the size of this input will get increased, the runtime of the
algorithms will increase. This means that as the input size is
increasing like that The time required to send the file , That is also
increasing. There is a hard disk then there is your motorcycle. You
will go on that bike. And you will take it and in hard disk whether
you bring 250kb or Tb. As the input size of algo2 increased like that
what happened ? For that , there was no change in the runtime.
Runtime remained the same. So we say as the size of the input
keeps on increasing , Similarly, what is the effect of the algorithm on
runtime. We are to trying to remove the time complexity of them.
is the algorithm that runs in constant time . K1 n to the power
0+k2+k3+k4 This time is required in algo 2 .The sentence is: Run
time of it, there are some things that we will recite. Because we
won't constantly use our brains again and again, as we see Big O of
1 it is constant. Now, come here and listen to another story. If we do
an analysis of the first algorithm, If I do T algo1 Then what will
happen here? And along with consider that game is of L3 kb. If the
game is of N kb then how much time will you need? The sentence is:
Run time of it, there are some things that we will recite.There are
polynomial algorithms and there are exponential algorithms and
there are logarithmic algorithms and there are exponential functions
notes)
CodeWithHarry
So the input size didn't increase and the runtime of the algorithms
didn't increase either .No , it doesn't depend on the size of the
input . When we ask questions like as the input will increase, Then
the runtime will change as per what? And after that Now you will go
to aunty's house You will be treated. Consider there are different
routes to come and go.
I want to tell you guys one story. It happened like this , I was bored
in my house. I was so bored that I needed some entertainment. This
guy has amazing games like Pubg and GTA5. So he has a collection
of games. He likes playing games a lot. And you can get every type
of game from him. But there is one problem , I also use jio. He also
uses jio and we get just 1 Gb for one day. And with more internet ,
we ca n't sell files and all. So for me , what is the fastest way to take
the game from this friend. So what will I do ? I will take my bike As
the size of this input will get increased, the runtime of the
algorithms will increase. This means that as the input size is
increasing like that The time required to send the file , That is also
increasing. There is a hard disk then there is your motorcycle. You
will go on that bike. And you will take it and in hard disk whether
you bring 250kb or Tb. As the input size of algo2 increased like that
what happened ? For that , there was no change in the runtime.
Runtime remained the same. So we say as the size of the input
keeps on increasing , Similarly, what is the effect of the algorithm on
runtime. We are to trying to remove the time complexity of them.
is the algorithm that runs in constant time . K1 n to the power
0+k2+k3+k4 This time is required in algo 2 .The sentence is: Run
time of it, there are some things that we will recite. Because we
won't constantly use our brains again and again, as we see Big O of
1 it is constant. Now, come here and listen to another story. If we do
an analysis of the first algorithm, If I do T algo1 Then what will
happen here? And along with consider that game is of L3 kb. If the
game is of N kb then how much time will you need? The sentence is:
Run time of it, there are some things that we will recite.There are
polynomial algorithms and there are exponential algorithms and
there are logarithmic algorithms and there are exponential functions
