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شرح Why use big o, big omega and theta ?

دورة كورس ودورة تدريبية في تعليم مجال Computer Science

Recurrence Relation

Recurrence Relation By Substitution

Prove Big-Oh

Solve Big-Oh by definition

Prove recurrence relation by master theorem

Running time of code fragment

Recurrence Relation from Code

Solve Big-Oh By Limits

Proof By Induction Summation

Truth Table

Swap Two Numbers Without Using A Third Variable

Laws Of Logical Equivalence

Compute The Time Complexity Of The Following Code

Prove The Time Complexity Of The Following Program

Recursion Function To Multiply Two Positive Integers

Best, Worst, and Average Case

Postorder Traversal

Inorder Traversal

Preorder Traversal

Stacks and queues

Summations

Change An Automata To A Regular Expression

Greedy Algorithm

Prove Big Omega

Big Omega Explanation

Why use big o, big omega and theta ?

Prove Big Theta

Tree Graph

Summations and Algorithm Analysis

Convert a number in base 10 to base 5

Counting - permutations

Recursion Function Sum Even Digits

Convert A Number To Binary

Greedy Algorithm Making Change

Time Complexity of Code Using Summations

Linear Search

Binary Search Tree (BST) Worst Case

Dijkstra's Shortest Path Algorithm

Convert a Number to Hexadecimal (Base 16)

Write a function to recurrence relation

Iteration method to solve T(n)

Hexadecimal (base 16) to Octal (base 8)

Interview Puzzle: 8 balls and a weighing scale

Binary Search Tree

Prove Logical Equivalence Using Laws

Master Theorem

Akra Bazzi Method/Theorem

T (n) = 3T(n/3) + n^3

Finding recurrence when master theorem fails

Time Complexity Problem

AVL Tree Balance Factors

Heap Data Structure

Build A Max Heap

Build A Min Heap

Heap Insertion Running Time

Why and When To Use Heaps

Elementary Counting (Combinatorics)

Prove the Logical Expression Tautology

Solve the Value of the Code Segment

Time Complexity