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Summary Comprehensive Notes on Data Structures and Algorithms for Computer Science and Programming: Efficiency, Complexity, and Advanced Techniques$19.49
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Summary Comprehensive Notes on Data Structures and Algorithms for Computer Science and Programming: Efficiency, Complexity, and Advanced Techniques
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Course
Data Structures and Algorithms Course
Institution
Data Structures And Algorithms Course
My document of DSA notes is a comprehensive guide to data structures and algorithms for computer science and programming. It covers a wide range of topics such as complexity analysis, algorithm design techniques, and advanced data structures. The notes include detailed explanations of various data ...
This course is primarily for placement preparation and will be using C and C++ for the
algorithms and data structures. The notes for the course will be provided in PDF format for
convenience. Data structures are essential for developing efficient algorithms that arrange
data in main memory for optimal usage. It's important to note that algorithms and data
structures are two different things. C is a bare-bones programming language that requires
you to do everything yourself, but Java can also be used to implement algorithms. This
course is ideal for those looking to switch jobs or prepare for interviews, and there is a
15-hour notes on C programming available on the channel with notes.
Data structure is the arrangement of data in main memory, and the concept of database,
data warehouse, and big data will be covered in the course. The fuel of big algorithms is
data, and keeping it properly in the hard disk is essential for efficient retrieval, updating, and
deletion. Although data warehousing is beyond the scope of this course, it's still important to
understand it. Data structures and algorithms are best learned from C and C++, which
provide a good picture of memory usage. The concepts of stack and heap are essential in
understanding how C programs work, and space and time complexity will be covered in
future notess. Overall, this course will cover many data structure concepts, such as linked
lists, arrays, binary search trees, and more.
know these three terms because big data is what we are talking about here .memory
location where the C program stores the data that is to be processed next and the heap is a
memory location where the C program stores the data that is to be processed next but the
data that is to be processed next is not always stored in the same location as the data that is
to be processed next because the C program can keep data in different memory locations
depending on the situation and this is why it is important for you to understand the stack and
heap because you will be able to understand the C program better and be able to ask more
questions on the C program. Alright ... I 'm talking about C program that 's why I say that you
get a good picture of memory with the help of C programming therefore , data structures and
algorithms is best learned from C and C++ Now here I am dividing it into segments so there
is thing called code segment let 's say this is my code let 's say there is a code with the name
,`` harry.c '' now this code will be first loaded into my main memory I told you what is the first
thing that happens ?then it will come to this line it will come to fun1 ( ) , it will execute fun1 (
) . fun2 ( ) is calling inside fun1 ( ) now the variables that I had created inside it will be
created here let 's say I have created `` k '' & `` l '' let me write here : initialize k and l and after
that I 'm calling fun2 ( ) so as soon as fun2 ( ) will be called it will say to fun1 ( ) that you wait
for a while , I call fun2 ( ) and be back by fetching the value whatever it will return fun1 ( )
replied that you go and get it call fun2 ( ) and get its value .
me where do I give the milk to the milkman because the pointer will store the address of the
malloced memory so the milkman will get the milk from the pointer and the pointer will stay
there until you return the function or until you delete it.it will say to fun1 ( ) that you 're
coming back and now you can start your execution again . If anyone asks you this question,
that why heap is used, it can also be done from stack. So that thing is done here with the
help of dynamic memory because when does the stack of a function end it ends when the
function is returned. I just come back with the value you just wait here. You go and get it and
then what will happen, fun function will be called.
this notes we will focus on linked list & binary search tree so if you want to know more about
these then you should go ahead and watch the notes and learn more about these things . If
you still think that you want to do all of these things with Python, then I am saying that when
you will go for an interview, the person in front of you will expect C, C++, or Java from you. If
you don't know C properly, then I have made a 15-hour long notes of C with notes.
This course is primarily for placement preparation and will be using C and C++ for the
algorithms and data structures. The notes for the course will be provided in PDF format for
convenience. Data structures are essential for developing efficient algorithms that arrange
data in main memory for optimal usage. It's important to note that algorithms and data
structures are two different things. C is a bare-bones programming language that requires
you to do everything yourself, but Java can also be used to implement algorithms. This
course is ideal for those looking to switch jobs or prepare for interviews, and there is a
15-hour notes on C programming available on the channel with notes.
Data structure is the arrangement of data in main memory, and the concept of database,
data warehouse, and big data will be covered in the course. The fuel of big algorithms is
data, and keeping it properly in the hard disk is essential for efficient retrieval, updating, and
,deletion. Although data warehousing is beyond the scope of this course, it's still important to
understand it. Data structures and algorithms are best learned from C and C++, which
provide a good picture of memory usage. The concepts of stack and heap are essential in
understanding how C programs work, and space and time complexity will be covered in
future notess. Overall, this course will cover many data structure concepts, such as linked
lists, arrays, binary search trees, and more.
know these three terms because big data is what we are talking about here .memory
location where the C program stores the data that is to be processed next and the heap is a
memory location where the C program stores the data that is to be processed next but the
data that is to be processed next is not always stored in the same location as the data that is
to be processed next because the C program can keep data in different memory locations
depending on the situation and this is why it is important for you to understand the stack and
heap because you will be able to understand the C program better and be able to ask more
questions on the C program. Alright ... I 'm talking about C program that 's why I say that you
get a good picture of memory with the help of C programming therefore , data structures and
algorithms is best learned from C and C++ Now here I am dividing it into segments so there
is thing called code segment let 's say this is my code let 's say there is a code with the name
`` harry.c '' now this code will be first loaded into my main memory I told you what is the first
thing that happens ?then it will come to this line it will come to fun1 ( ) , it will execute fun1 (
) . fun2 ( ) is calling inside fun1 ( ) now the variables that I had created inside it will be
created here let 's say I have created `` k '' & `` l '' let me write here : initialize k and l and after
that I 'm calling fun2 ( ) so as soon as fun2 ( ) will be called it will say to fun1 ( ) that you wait
for a while , I call fun2 ( ) and be back by fetching the value whatever it will return fun1 ( )
replied that you go and get it call fun2 ( ) and get its value .
me where do I give the milk to the milkman because the pointer will store the address of the
malloced memory so the milkman will get the milk from the pointer and the pointer will stay
there until you return the function or until you delete it.it will say to fun1 ( ) that you 're
coming back and now you can start your execution again . If anyone asks you this question,
that why heap is used, it can also be done from stack. So that thing is done here with the
help of dynamic memory because when does the stack of a function end it ends when the
function is returned. I just come back with the value you just wait here. You go and get it and
then what will happen, fun function will be called.
, this notes we will focus on linked list & binary search tree so if you want to know more about
these then you should go ahead and watch the notes and learn more about these things . If
you still think that you want to do all of these things with Python, then I am saying that when
you will go for an interview, the person in front of you will expect C, C++, or Java from you. If
you don't know C properly, then I have made a 15-hour long notes of C with notes.
Asymptotic Notations: Big O, Big Omega and Big Theta
Explained (With Notes)
This passage discusses the complexity of an algorithm, which is measured in terms of the
size of its big O graph. THe author states that the complexity of an algorithm is
automatically O(n^5.), O(n^30), and O(n^100).& G ( n ) is intersecting with f ( n ). So you will
get some complex function Alright so this is the solution to the problem So. What we have
done is WE have taken a big function and we have made it so that it is always below the
original function and that's what [UNK] means THe definition of [UNK] for a function. F(n) is
the largest value of G(n) that is bigger than f(n).
Best Case, Worst Case and Average Case Analysis of an
Algorithm (With Notes)
K is an integer ) SO now I 'll write it like this K n ( K is an integer ) So now I 'll write it Like this
K n ( K is an integer ) So now I 'll write it like this. K n ( K is an integer ) And now what will
happen? The value of 'k ' will become very large And so 2n will be going down. The graph of (
n^2+n ) ; graph of n ; graph of ( N^2+n ) will go below 2n. THe Average Case Complexity for a
given algorithm is the time it takes to run through all possible cases, divided by the total
number of possibilities..?" This passage discusses Algo 2, which is a cunning person who is
smart. Birbal. Algo 2 says that he will not make useless comparisons, and provides an
example. An example of how he does this.. Algo 2 first takes the first and last element of an
array, and then compares them. IF. They match, Algo 2 is good; if they don't match., Algo 2
will find the mid--point of the array and be okay..
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