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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
Intro to Big-O & Space
How much memory does your code use? 🤔 Big-O notation helps us understand space complexity! Let's explore! 🧠 #BigO #SpaceComplexity #Coding
How much memory does your code use? 🤔 Big-O notation helps us understand space complexity! Let's explore! 🧠 #BigO #SpaceComplexity #Coding
January 26, 2025 at 5:03 PM
Intro to Big-O & Space
How much memory does your code use? 🤔 Big-O notation helps us understand space complexity! Let's explore! 🧠 #BigO #SpaceComplexity #Coding
How much memory does your code use? 🤔 Big-O notation helps us understand space complexity! Let's explore! 🧠 #BigO #SpaceComplexity #Coding