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Description: This notes will defenitely help you to be more advanced to be in Data structure and algorithms and become and advancer of it
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Data Structures Easy to Advanced Course
In this lesson, we will lay the foundation for core concepts needed throughout these data structures and al
gorithms
...
Data Structures
A data structure organizes data for efficient use and is essential for creating powerful algorithms
...
To understand the performanc
e that data structures provide, we need to look at the wild world of computational complexity
...
Ho
wever, it does not provide the details surrounding how those methods are implemented
...
Almost any mathematical expression containing n can be wrapped around a Big O
...
Constant Time Algorithms
Both of the following algorithms run in constant time relative to the input size because they are independe
nt of n
...
Algorithm 1
Algorithm 2
Binary Search Algorithm
A classic algorithm for binary search has a logarithmic time complexity
...
Then, it selects a midpoint between the
two pointers and checks if the value being searched for is found at the midpoint
...
This is the first part of a two-part video series on arrays
...
What is a Static Array?
A static array is a fixed-length container containing elements
...
Searching Can Take up to the Linear Time Because We Potentially Have to Traverse all the Elements in t
he Array in the Worst Case
...
The Static Array is a Fixed Size Con
tainer, so It Cannot Grow Larger or Smaller
...
If We Look at a, You Can
See That it Contains the Values 4412, -517, 6039, and 100
...
How
ever, This is Not at All a Requirement of the Array
...
This Confuses a Lot of Intro Computer Science Students
...
This is Part Two of Two in the Array Series
...
The size of the array must be greater than or equal to zer
o
...
We also include suppress warnings and unchecked due
to issues with generics
...
This is part one of two where we will be d
iscussing singly and doubly linked lists
...
The last node in a linked list always has a null reference to the next node
...
Doubly linked lists contain pointers that point to both the previous and next nodes
...
Singly linked lists use less memory than doubly linked lists
...
The concept is the same, but it’s trickier due to all the pointers flying
around
...
Traverse the list using traverser1
...
When you reach the node you wish to remove (in this case, one with a value of 9), set traverser2
...
next, effectively removing the node from the list
...
Singly linked lists do not have a pointer to the tail
...
The size and empty methods are quite intuitive; they retrieve the size of our linked list and determine whet
her it is empty
...
The remove method is generic
and removes an arbitrary node
...
If the node being removed is at either the head or t
he tail, we detect this and call our methods removeFirst or removeLast
...
A stack is a one ended linear data structure that models the real world stack, with two primary operations:
push and pop
...
Lastly, we’ll provide some source code for how a stack is implemented using a linked list
...
This behavior is common in programming
...
It’s rather r
emarkable that we use stacks all the time in programming and never even notice it
...
Let’s analyze some examples below to understand w
hat type of bracket sequences are valid and which ones are invalid
...
{[]()}
{{[()]}}
{[}()]
{[()}}
We can conclude that the first two bracket sequences are indeed valid, while the last two bracket sequenc
es are invalid
...
If our bracket is a left bracket, we push it onto the stack
...
If it is empty, then we have an invalid bracket sequence, otherwise we continue popp
ing
...
Description: This notes will defenitely help you to be more advanced to be in Data structure and algorithms and become and advancer of it