Different types of algorithms :
1. Brute Force Algorithm:
- Tries all possible solutions.
- Simple but can be inefficient.
2. Recursive Algorithm:
- Breaks problems into smaller subproblems.
- Often used in divide-and-conquer approaches.
3. Dynamic Programming Algorithm:
- Optimizes solutions by reusing results.
- Common for optimization problems.
4. Divide And Conquer Algorithm:
- Divides problems, solves, and combines results.
- Efficient for sorting and searching.
5. Greedy Algorithm:
- Makes locally optimal choices.
- Used in minimum spanning trees, Huffman coding.
6. Backtracking Algorithm:
- Explores all options systematically.
- Useful for problems with constraints.
7. Randomized Algorithm:
- Introduces randomness for efficiency.
- Examples: Monte Carlo simulations, randomized quicksort.
@EmmersiveLearning
1. Brute Force Algorithm:
- Tries all possible solutions.
- Simple but can be inefficient.
2. Recursive Algorithm:
- Breaks problems into smaller subproblems.
- Often used in divide-and-conquer approaches.
3. Dynamic Programming Algorithm:
- Optimizes solutions by reusing results.
- Common for optimization problems.
4. Divide And Conquer Algorithm:
- Divides problems, solves, and combines results.
- Efficient for sorting and searching.
5. Greedy Algorithm:
- Makes locally optimal choices.
- Used in minimum spanning trees, Huffman coding.
6. Backtracking Algorithm:
- Explores all options systematically.
- Useful for problems with constraints.
7. Randomized Algorithm:
- Introduces randomness for efficiency.
- Examples: Monte Carlo simulations, randomized quicksort.
@EmmersiveLearning
❤2
Emmersive Learning
Different types of algorithms : 1. Brute Force Algorithm: - Tries all possible solutions. - Simple but can be inefficient. 2. Recursive Algorithm: - Breaks problems into smaller subproblems. - Often used in divide-and-conquer approaches. 3.…
YouTube
Computer Algorithm in #Amharic | የ ኮምፒዩተር አልጎሪዝም ምንድን ነው ? #ኮምፒዩተርሳይንስ #cs #algorithm #ds
Computer Algorithm is one of the main Core Concepts in Computer Science and Software Engineering come combined with Data Structure #cs #computer #computerscience #datastructures #algorithm #datastructuresandalgorithms
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New Video Out.
High level overview of Data Structure
Learn.
https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw
High level overview of Data Structure
Learn.
https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw
YouTube
Data Structure in #Amharic | ዳታ ስትራክትቸር ምንድን ነው ? #ኮምፒዩተርሳይንስ #cs # #datastructures #Emmersive
Data Structure is one of the main Core Concepts in Computer Science and Software Enginerring which is with Algorithm #cs #computer #computerscience #datastructures #algorithm #datastructuresandalgorithms
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Start Your web dev Journey…
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Forwarded from Emmersive Learning
Data Structures in short :
- Primitive:
- byte
- short
- int
- float
- char
- boolean
- long
- double
- Non-Primitive:
- Linear:
- Array
- Stack
- Queue
- Linked-list
- Non-linear:
- Trees
- Graph
- Heap
- Hash
#datastructure
#algorithm
@EmmersiveLearning
- Primitive:
- byte
- short
- int
- float
- char
- boolean
- long
- double
- Non-Primitive:
- Linear:
- Array
- Stack
- Queue
- Linked-list
- Non-linear:
- Trees
- Graph
- Heap
- Hash
#datastructure
#algorithm
@EmmersiveLearning
❤3
Emmersive Learning
Data Structures in short : - Primitive: - byte - short - int - float - char - boolean - long - double - Non-Primitive: - Linear: - Array - Stack - Queue - Linked-list - Non-linear: - Trees - Graph - Heap …
YouTube
Data Structure in #Amharic | ዳታ ስትራክትቸር ምንድን ነው ? #ኮምፒዩተርሳይንስ #cs # #datastructures #Emmersive
Data Structure is one of the main Core Concepts in Computer Science and Software Enginerring which is with Algorithm #cs #computer #computerscience #datastructures #algorithm #datastructuresandalgorithms
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DSA:
1. Data Structures:
- Linked List: A linear data structure where elements are connected via pointers.
- Matrix/Grid: A 2D array with rows and columns.
- Queue: Follows the First-In-First-Out (FIFO) principle.
- Stack: Follows the Last-In-First-Out (LIFO) principle.
- Array: A collection of elements with a fixed size.
- Hash: Uses a hash function to map keys to values.
- Graph: Consists of nodes connected by edges.
- Tree: A hierarchical structure with a root and child nodes.
2. Algorithms:
- Pattern Searching: Finding occurrences of a pattern in a text.
- Divide & Conquer: Breaking a problem into smaller subproblems.
- Searching: Locating an element in a data structure.
- Sorting: Arranging elements in a specific order.
- Bitwise Operations: Manipulating individual bits.
- Greedy Algorithms: Making locally optimal choices.
- Recursion: Solving problems by dividing them into smaller instances.
- Backtracking: Exploring all possible solutions.
- Dynamic Programming: Solving problems by breaking them down into overlapping subproblems.
Remember, mastering these concepts is essential for becoming a proficient programmer! 🚀
@EmmersiveLearning
Learn Here.
with videos :
Algorithm: https://www.youtube.com/watch?v=4ae6gujJqjI
Data Structure: https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw
1. Data Structures:
- Linked List: A linear data structure where elements are connected via pointers.
- Matrix/Grid: A 2D array with rows and columns.
- Queue: Follows the First-In-First-Out (FIFO) principle.
- Stack: Follows the Last-In-First-Out (LIFO) principle.
- Array: A collection of elements with a fixed size.
- Hash: Uses a hash function to map keys to values.
- Graph: Consists of nodes connected by edges.
- Tree: A hierarchical structure with a root and child nodes.
2. Algorithms:
- Pattern Searching: Finding occurrences of a pattern in a text.
- Divide & Conquer: Breaking a problem into smaller subproblems.
- Searching: Locating an element in a data structure.
- Sorting: Arranging elements in a specific order.
- Bitwise Operations: Manipulating individual bits.
- Greedy Algorithms: Making locally optimal choices.
- Recursion: Solving problems by dividing them into smaller instances.
- Backtracking: Exploring all possible solutions.
- Dynamic Programming: Solving problems by breaking them down into overlapping subproblems.
Remember, mastering these concepts is essential for becoming a proficient programmer! 🚀
@EmmersiveLearning
Learn Here.
with videos :
Algorithm: https://www.youtube.com/watch?v=4ae6gujJqjI
Data Structure: https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw
❤2
Forwarded from Immersive Ai
ChatGPT Cheatsheet 🔥
——
Follow this channel For any ai related news, updates, resources and courses.
it's your go-to channel for any ai related things.
https://news.1rj.ru/str/MuhibAi
——
Follow this channel For any ai related news, updates, resources and courses.
it's your go-to channel for any ai related things.
https://news.1rj.ru/str/MuhibAi
👍6
i recommend to watch this videos before learning any development skill.
this are the foundation.
Posted respectively. 👇
this are the foundation.
Posted respectively. 👇
New to Programming ?
Here's a concise breakdown of the different types of computer languages:
1. Low-Level:
- Machine Language: Binary instructions executed directly by hardware.
- Assembly Language (e.g., NASM): Uses mnemonics for machine instructions.
2. High-Level:
- Procedural (e.g., Fortran): Step-by-step problem-solving.
- Functional (e.g., Haskell, F#): Focuses on functions.
- OOP (e.g., Python, C++): Objects and classes.
- Scripting (e.g., JavaScript, Perl): Automation and web development.
3. Specialized:
- Markup (e.g., HTML, XML): Content structuring.
- Query (e.g., SQL, SPARQL): Database queries.
- Domain-Specific (e.g., MATLAB, R): Tailored applications.
@EmmersiveLearning
Here's a concise breakdown of the different types of computer languages:
1. Low-Level:
- Machine Language: Binary instructions executed directly by hardware.
- Assembly Language (e.g., NASM): Uses mnemonics for machine instructions.
2. High-Level:
- Procedural (e.g., Fortran): Step-by-step problem-solving.
- Functional (e.g., Haskell, F#): Focuses on functions.
- OOP (e.g., Python, C++): Objects and classes.
- Scripting (e.g., JavaScript, Perl): Automation and web development.
3. Specialized:
- Markup (e.g., HTML, XML): Content structuring.
- Query (e.g., SQL, SPARQL): Database queries.
- Domain-Specific (e.g., MATLAB, R): Tailored applications.
@EmmersiveLearning
👍5