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Want the full scoop on these complexities and more? 🤓 Check out the original blog post from https://hasty.dev that inspired this thread! 👇 #BigO #Algorithms #LearnToCode
https://hasty.dev/blog/big-o/time/uncommon
https://hasty.dev/blog/big-o/time/uncommon
Uncommon Time Complexities
Dive deeper into algorithm efficiency with our guide to uncommon Big-O notations. Discover the nuances various notations, and expand your understanding of algorithm performance.
hasty.dev
April 30, 2025 at 9:58 PM
Want the full scoop on these complexities and more? 🤓 Check out the original blog post from https://hasty.dev that inspired this thread! 👇 #BigO #Algorithms #LearnToCode
https://hasty.dev/blog/big-o/time/uncommon
https://hasty.dev/blog/big-o/time/uncommon
O(n log n) - Quasi-Linear Time: The workhorse! 💪 Faster than O(n^2), common in efficient sorting like Merge Sort or Heap Sort 📊. Balances speed & practicality nicely #BigO #Sorting #Algorithms
April 30, 2025 at 9:58 PM
O(n log n) - Quasi-Linear Time: The workhorse! 💪 Faster than O(n^2), common in efficient sorting like Merge Sort or Heap Sort 📊. Balances speed & practicality nicely #BigO #Sorting #Algorithms
O((log n)^k) - Polylogarithmic Time: Super efficient! ✨ Grows slower than *any* polynomial. Time is based on (log n)^k. Great for massive datasets & advanced structures 💾 #BigO #Efficiency #ComputerScience
April 30, 2025 at 9:58 PM
O((log n)^k) - Polylogarithmic Time: Super efficient! ✨ Grows slower than *any* polynomial. Time is based on (log n)^k. Great for massive datasets & advanced structures 💾 #BigO #Efficiency #ComputerScience
O(2^n) - Exponential Time: Grows explosively! 💥 Like finding all subsets of a set or a virus doubling hourly 🦠. Fine for small inputs, but hits a wall fast. Watch out! #BigO #Performance
April 30, 2025 at 9:58 PM
O(2^n) - Exponential Time: Grows explosively! 💥 Like finding all subsets of a set or a virus doubling hourly 🦠. Fine for small inputs, but hits a wall fast. Watch out! #BigO #Performance
O(n!) - Factorial Time: Beware the beast! 😨 Grows incredibly fast, like checking every possible route for a salesperson 🚚. Becomes impractical *very* quickly. Avoid if you can! ❌ #BigO #Complexity
April 30, 2025 at 9:58 PM
O(n!) - Factorial Time: Beware the beast! 😨 Grows incredibly fast, like checking every possible route for a salesperson 🚚. Becomes impractical *very* quickly. Avoid if you can! ❌ #BigO #Complexity
Sublinear Time (e.g., O(log n)): Faster than linear! 🚀 These algorithms get relatively quicker as input grows. Think binary search 🔍 or finding a word in a dictionary index. Doesn't need to check every item! #BigO #Algorithms
April 30, 2025 at 9:58 PM
Sublinear Time (e.g., O(log n)): Faster than linear! 🚀 These algorithms get relatively quicker as input grows. Think binary search 🔍 or finding a word in a dictionary index. Doesn't need to check every item! #BigO #Algorithms
Dive deeper into Big-O & space complexity! https://hasty.dev/blog/big-o/space/comprehensive 🤓 #LearnToCode #CS #BigO
January 26, 2025 at 5:03 PM
Dive deeper into Big-O & space complexity! https://hasty.dev/blog/big-o/space/comprehensive 🤓 #LearnToCode #CS #BigO
Key Takeaway
Space complexity matters! Choose the right algorithm for efficient, scalable code ✍️ #CodingTips #SoftwareDev #BigO
Space complexity matters! Choose the right algorithm for efficient, scalable code ✍️ #CodingTips #SoftwareDev #BigO
January 26, 2025 at 5:03 PM
Key Takeaway
Space complexity matters! Choose the right algorithm for efficient, scalable code ✍️ #CodingTips #SoftwareDev #BigO
Space complexity matters! Choose the right algorithm for efficient, scalable code ✍️ #CodingTips #SoftwareDev #BigO
Polynomial Space: O(n^k)
O(n^k) space: Memory grows as a power of input size. Storing all pairs of items, for example 😬 #PolySpace #Memory
O(n^k) space: Memory grows as a power of input size. Storing all pairs of items, for example 😬 #PolySpace #Memory
January 26, 2025 at 5:03 PM
Polynomial Space: O(n^k)
O(n^k) space: Memory grows as a power of input size. Storing all pairs of items, for example 😬 #PolySpace #Memory
O(n^k) space: Memory grows as a power of input size. Storing all pairs of items, for example 😬 #PolySpace #Memory
Log-Linear Space: O(n log n)
O(n log n) space: Memory grows faster than linear, slower than quadratic. Like books + a card catalog 🗄️ #LogLinear #Nlogn
O(n log n) space: Memory grows faster than linear, slower than quadratic. Like books + a card catalog 🗄️ #LogLinear #Nlogn
January 26, 2025 at 5:03 PM
Log-Linear Space: O(n log n)
O(n log n) space: Memory grows faster than linear, slower than quadratic. Like books + a card catalog 🗄️ #LogLinear #Nlogn
O(n log n) space: Memory grows faster than linear, slower than quadratic. Like books + a card catalog 🗄️ #LogLinear #Nlogn
Logarithmic Space: O(log n)
O(log n) space: Super efficient! Memory grows slowly. Think dictionary search - use the index, not every page! 📖 #LogSpace #Ologn #Efficient
O(log n) space: Super efficient! Memory grows slowly. Think dictionary search - use the index, not every page! 📖 #LogSpace #Ologn #Efficient
January 26, 2025 at 5:03 PM
Logarithmic Space: O(log n)
O(log n) space: Super efficient! Memory grows slowly. Think dictionary search - use the index, not every page! 📖 #LogSpace #Ologn #Efficient
O(log n) space: Super efficient! Memory grows slowly. Think dictionary search - use the index, not every page! 📖 #LogSpace #Ologn #Efficient
Linear Space: O(n)
O(n) space: Memory grows directly with input size. Like needing more bookshelf space for more books 📚 #LinearSpace #On #Memory
O(n) space: Memory grows directly with input size. Like needing more bookshelf space for more books 📚 #LinearSpace #On #Memory
January 26, 2025 at 5:03 PM
Linear Space: O(n)
O(n) space: Memory grows directly with input size. Like needing more bookshelf space for more books 📚 #LinearSpace #On #Memory
O(n) space: Memory grows directly with input size. Like needing more bookshelf space for more books 📚 #LinearSpace #On #Memory
Constant Space: O(1)
O(1) space: Same memory, no matter the input size! Like a single scratchpad for any calculation 📝 #ConstantSpace #O1 #Memory
O(1) space: Same memory, no matter the input size! Like a single scratchpad for any calculation 📝 #ConstantSpace #O1 #Memory
January 26, 2025 at 5:03 PM
Constant Space: O(1)
O(1) space: Same memory, no matter the input size! Like a single scratchpad for any calculation 📝 #ConstantSpace #O1 #Memory
O(1) space: Same memory, no matter the input size! Like a single scratchpad for any calculation 📝 #ConstantSpace #O1 #Memory
Ready to geek out on sorting algorithms? 🤓 Dive into these comparisons and level up your algorithm game! 🎮 #Coding #Algorithms #TechFun
For more in-depth analyses and performance benchmarks, visit Hasty's blog: hasty.dev/blog?utm_s...
For more in-depth analyses and performance benchmarks, visit Hasty's blog: hasty.dev/blog?utm_s...
HASTY's Blog Showcases the Power of Benchmarking
Dive into the world of code optimization through HASTY's blog and learn how to unlock superior performance for your code.
hasty.dev
January 22, 2025 at 4:23 PM
Ready to geek out on sorting algorithms? 🤓 Dive into these comparisons and level up your algorithm game! 🎮 #Coding #Algorithms #TechFun
For more in-depth analyses and performance benchmarks, visit Hasty's blog: hasty.dev/blog?utm_s...
For more in-depth analyses and performance benchmarks, visit Hasty's blog: hasty.dev/blog?utm_s...
8️⃣ #Sleep Sort vs. #Tim Sort
Sleep Sort: the quirky algorithm that uses sleep intervals to sort numbers. 😴 Tim Sort, in contrast, is all about efficiency. ⚡ Curious about this unusual matchup? Check it out! 🤔 hasty.dev/blog/sorti...
Sleep Sort: the quirky algorithm that uses sleep intervals to sort numbers. 😴 Tim Sort, in contrast, is all about efficiency. ⚡ Curious about this unusual matchup? Check it out! 🤔 hasty.dev/blog/sorti...
Comparing Sleep and Tim Sorting Algorithms
Discover the differences between Sleep and Tim sorting algorithms. Which algorithm is more efficient and how they work in this comprehensive comparison
hasty.dev
January 21, 2025 at 4:01 PM
8️⃣ #Sleep Sort vs. #Tim Sort
Sleep Sort: the quirky algorithm that uses sleep intervals to sort numbers. 😴 Tim Sort, in contrast, is all about efficiency. ⚡ Curious about this unusual matchup? Check it out! 🤔 hasty.dev/blog/sorti...
Sleep Sort: the quirky algorithm that uses sleep intervals to sort numbers. 😴 Tim Sort, in contrast, is all about efficiency. ⚡ Curious about this unusual matchup? Check it out! 🤔 hasty.dev/blog/sorti...
7️⃣ #Selection Sort vs. #Tim Sort
Selection Sort picks the smallest element repeatedly—a straightforward but slow method. 🐢 How does it compare to the sophisticated Tim Sort? 🤓 Discover the answer here! 📊 hasty.dev/blog/sorti...
Selection Sort picks the smallest element repeatedly—a straightforward but slow method. 🐢 How does it compare to the sophisticated Tim Sort? 🤓 Discover the answer here! 📊 hasty.dev/blog/sorti...
Comparing Selection and Tim Sorting Algorithms
Discover the differences between Selection and Tim sorting algorithms. Which algorithm is more efficient and how they work in this comprehensive comparison
hasty.dev
January 20, 2025 at 5:16 PM
7️⃣ #Selection Sort vs. #Tim Sort
Selection Sort picks the smallest element repeatedly—a straightforward but slow method. 🐢 How does it compare to the sophisticated Tim Sort? 🤓 Discover the answer here! 📊 hasty.dev/blog/sorti...
Selection Sort picks the smallest element repeatedly—a straightforward but slow method. 🐢 How does it compare to the sophisticated Tim Sort? 🤓 Discover the answer here! 📊 hasty.dev/blog/sorti...
6️⃣ #Quick Sort vs. #Tim Sort
Quick Sort is known for its speed, but Tim Sort is optimized for various data types. 🧩 Which one comes out on top? 🥇 Find out in this insightful comparison! 🔍 hasty.dev/blog/sorti...
Quick Sort is known for its speed, but Tim Sort is optimized for various data types. 🧩 Which one comes out on top? 🥇 Find out in this insightful comparison! 🔍 hasty.dev/blog/sorti...
Comparing Quick and Tim Sorting Algorithms
Discover the differences between Quick and Tim sorting algorithms. Which algorithm is more efficient and how they work in this comprehensive comparison
hasty.dev
January 19, 2025 at 5:15 PM
6️⃣ #Quick Sort vs. #Tim Sort
Quick Sort is known for its speed, but Tim Sort is optimized for various data types. 🧩 Which one comes out on top? 🥇 Find out in this insightful comparison! 🔍 hasty.dev/blog/sorti...
Quick Sort is known for its speed, but Tim Sort is optimized for various data types. 🧩 Which one comes out on top? 🥇 Find out in this insightful comparison! 🔍 hasty.dev/blog/sorti...
5️⃣ #Merge Sort vs. #Tim Sort
Merge Sort is a classic divide-and-conquer algorithm. 🔪 Tim Sort builds upon it for enhanced efficiency. 🚀 Curious about the differences? Check out this detailed comparison! 📚 hasty.dev/blog/sorti...
Merge Sort is a classic divide-and-conquer algorithm. 🔪 Tim Sort builds upon it for enhanced efficiency. 🚀 Curious about the differences? Check out this detailed comparison! 📚 hasty.dev/blog/sorti...
Comparing Merge and Tim Sorting Algorithms
Discover the differences between Merge and Tim sorting algorithms. Which algorithm is more efficient and how they work in this comprehensive comparison
hasty.dev
January 18, 2025 at 5:21 PM
5️⃣ #Merge Sort vs. #Tim Sort
Merge Sort is a classic divide-and-conquer algorithm. 🔪 Tim Sort builds upon it for enhanced efficiency. 🚀 Curious about the differences? Check out this detailed comparison! 📚 hasty.dev/blog/sorti...
Merge Sort is a classic divide-and-conquer algorithm. 🔪 Tim Sort builds upon it for enhanced efficiency. 🚀 Curious about the differences? Check out this detailed comparison! 📚 hasty.dev/blog/sorti...