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Introduction to Faster Algorithms | Optimize Time & Space Efficiency in Computing ⚡💻
Welcome to Learning with Sheikh Amir! In this video, we explore Faster Algorithms — the secret to making computers, apps, and AI systems run efficiently.

✨ What You’ll Learn:

What Are Faster Algorithms?
Reduced time & space complexity through smarter logic and data handling.

Types of Faster Algorithms:
🔹 Divide and Conquer (QuickSort, MergeSort, Strassen)
🔹 Greedy Algorithms (Prim’s, Dijkstra’s)
🔹 Dynamic Programming (Fibonacci, Knapsack)
🔹 Randomized Algorithms (Randomized QuickSort)
🔹 Approximation Algorithms (TSP, NP-hard problems)

Optimized Arithmetic:
Karatsuba, Toom-Cook, and FFT-based multiplication
Newton-Raphson & SRT Division methods

Applications:
Cryptography 🔐, Big Data 📊, AI 🤖, Signal Processing 📡, and HPC 💻

Why It Matters:
Faster algorithms make modern technology scalable, secure, and efficient — from your phone to supercomputers.

🎯 Perfect For:

Computer Science & Engineering students

Programmers learning algorithm design

Competitive coders & AI learners aiming for efficient performance

💡 Key Insight:
Every millisecond matters! ⏱️
Faster algorithms are not just about speed — they power everything from cryptography to deep learning.

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