❤️Head to ✨The Complexity Edge ✨💥 Link in my bio
If you’re looking for some non-dualist spirituality in computer science, look no further than complexity theory pioneered by Stephen Cook in 1971.
He didn’t just want to build faster algorithms, he wanted to understand the very nature of difficulty.
He discovered that all problems are different expressions of the same underlying difficulty, giving us the concept of P, NP, NP complete.
This charted the course for computation as the means for us to uncover fundamental truths about reality and innovate.
Complexity isn’t a badge of honor.
It’s the #1 reason performance breaks down. If complexity is holding you back, it’s time to remove it.
Don’t be dumb. Keep it simple.
Calculating the complexity 🔥💯
#humanbehavior #psychology #mindfulness
Not everything simple is actually simple.
Some things just hide the complexity. 🧠💻
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📌Follow for more - @_codeirl_
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🔍 [ Programming, Coding, Computer Science, Computer Engineering, IT,CSE, Python, C++, Java, Data Structures, Algorithms, DSA, Software Engineering, Computer Science, Programming Concepts, Life Lessons, Developer Mindset, Problem Solving, Debugging, Clean Code, Object-Oriented Programming, Recursion, Dynamic Programming, Binary Search, Stack, Queue, Linked List, Trees, Graphs, Tech Education, Software Development, Coding Motivation, Logical Thinking, Developer Community ]
System thinkers, or complexity thinkers, sound dramatic before the system breaks. Not because they exaggerate, but because they're describing a sequence.
The instrument for this: ROOM, field guide 03. Link in bio.
Watch my complete time complexity playlist on youtube
Link is in the bio!
#dsa #reelsinstagram #datastructure
Comment “PDF” and detailed time complexity - Part 2 in your dm.
Can you tell what will be the time complexity for an algo you would look for if input size is O(10^6) ? And which problem you have solved corresponding to it?
Here I have covered the most important topic - constraints , which many engineers/students fails to count in DSA interviews. It took 4 year for me to understand this very important concept.
In the detailed Pdf you will get -
Complete understanding of constraints and under which input size we generally apply which time complexity algo.
There is a prerequisite for this video which is Time Complexity(for Leetcode) - Part 1, don’t forget to check that out before this one.
#constraints #timecomplexity #faang #engineering #codingskills
Time Complexity ko simple way mein samjho 👀
Algorithm ko kaam karne mein kitne steps lagte hain, aur input badhne par ye steps kitni tezi se badhte hain — isi ko Time Complexity kehte hain.
Example:
5 inputs → 5 steps
100 inputs → 100 steps
➡️ O(n)
📌 Save kar lo, next reel mein Space Complexity simple example ke saath.#viral #reels #explorepage #trending #coding
⏱️ What is Time Complexity? O(1), O(n), O(n²) Explained | Come Learn With Me Day 7 🚀
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Time Complexity
What is Time Complexity
Time Complexity Explained
Big O Notation
Big O Notation Explained
Big O for Beginners
Time Complexity for Beginners
O(1) O(n) O(n²)
Constant Time
Linear Time
Quadratic Time
DSA for Beginners
Data Structures and Algorithms
Algorithm Complexity
Complexity Analysis
Big O in DSA
Time Complexity in DSA
Coding for Beginners
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Time Complexity in Hindi
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