Madhav
Madhav @Hey_Madav ·
DSA Day 5: Binary Search 🔍 ✅ Intuition: The "Dictionary Strategy" ✅ Implementation: O(\log n) efficiency ✅ Variations: First/Last occurrence & Search Insert ✅ Mountain Array: Finding the peak in O(\log n) #100DaysOfCode #Java #DSA #LeetCodeI
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Ankur
Ankur @Ankur04442038 ·
Day 67 | DSA Problem: House Robber • Rob houses in a row without robbing adjacent ones • DP: max = max(curr + rob1, rob2) • rob1 → prev prev max, rob2 → prev max • Return max money robbed • Time: O(n), Space: O(1) #Java #Leetcode #DynamicProgramming
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Sahil Bhutto
Sahil Bhutto @SahilB58967 ·
Shifting from Sorting to Searching in Java today! After tackling complex O(n log n) sorts, I went back to the absolute basics: Linear Search. The logic is simple: • Start at index 0 • Check every element • O(n) time complexity #DSA #Java #LinearSearch
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Chirashree
Chirashree @chirashreelk ·
🚀 Day 54 of DSA – Find the String with LCP 💡 Idea: lcp[i][j] > 0 ⇒ word[i] == word[j] Greedily assign smallest chars Rebuild LCP using DP If mismatch → invalid 🧠 Build + Verify problem ⏱ O(n²) 💾 O(n²) #LeetCode #DSA #Java #Algorithms #DynamicProgramm0YLO
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codigosintetico
codigosintetico @codigosintetico ·
📝 Java 26: HTTP/3, concorrência estruturada e o que muda no JDK O JDK 26 chega com 10 JEPs, suporte nativo a HTTP/3, melhorias de até 15% no G1 GC e APIs de concorrência que preparam o terreno para o Project Valhalla. l.codigosintetico.com.br/a7K9Agu0 #java
Java 26: HTTP/3, concorrência estruturada e o que muda no JDK

O JDK 26 chega com 10 JEPs, suporte nativo a HTTP/3, melhorias de até 15% no G1 GC e APIs de concorrência que preparam o terreno para o Project Valhalla.

From codigosintetico.com.br
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Ankur
Ankur @Ankur04442038 ·
Day 66 | DSA • Problem: Climb n stairs (1 or 2 steps) • DP: dp[i] = dp[i-1] + dp[i-2] • Base: dp[0]=1, dp[1]=1 • Count ways to reach top • Time: O(n), Space: O(n) #Java #Leetcode #DynamicProgramming
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Madhav
Madhav @Hey_Madav ·
DSA Day 4:Time Complexity ✅ Asymptotic Notations: •Dropping constants and ignoring lower-order terms.•Complexity Patterns: From Constant O(1) to Logarithmic O(\log n) and Quadratic O(n^2). Insight: A loop that halves or doubles every step is O(\log n).#100DaysOfCode #DSA #Java
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Anshuman Rout
Anshuman Rout @anshumanr_ ·
Day 85✅ Binary Tree level order traversal queue (BFS) maintain queue of nodes process lvl by lvl loop size = curr lvl count add left + right child store each lvl separately each node visited once Time: O(n), Space: O(n) #Java #100DaysOfCode
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Sahil Bhutto
Sahil Bhutto @SahilB58967 ·
Today, I just learned Quick Sort. Moving to a "Divide & Conquer" approach is amazing. Seeing the efficiency jump from O(n²) to O(n log n) is a game-changer. 3 key phases: • Pick a pivot • Partition the array • Recursively sort both sides #DSA #Java #QuickSort
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Pratik Ravindra Patil
Pratik Ravindra Patil @PratikPatil4796 ·
Day 6 of DSA 🚀 Remove Duplicates from Sorted Array (LC 26) Used Two Pointer approach💡 i tracks unique elements, j scans array In-place update without extra space 🔥 Learned: Space optimization + pointer logic Time: O(n), Space: O(1) #DSA #Day6 #Java #LeetCod #KunalKushwaWLt
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Ankur
Ankur @Ankur04442038 ·
Day 65 | DSA Problem: Swim in Rising Water Find minimum time to reach bottom-right in a grid with rising water levels. • Binary search on time + DFS to check path. Time: O(N² log N²) | Space: O(N²) #Leetcode #Java #Graphs
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お銀
お銀 @dokugumoogingi1 ·
#Minecraft #Java #お銀ワールド おはーよ❣️✨️ここからの景色好き(*^ω^*)元廃村アカシア村だったなんて/(^o^)\信じられる?( *´艸`)ちょっぴり嬉しい(#^.^#)
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850
Divyansh Kumar
Divyansh Kumar @Divyanshkumar28 ·
🚀 Day 10 of DSA Journey ✔️ Time Complexity → O(log n) ✔️ Overflow case handled (mid = low + (high - low)/2) ✔️ Lower Bound & Upper Bound concepts Understanding why Binary Search works > just coding it. #DSA #BinarySearch #Java #LeetCode #CodingJourneye
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Chirashree
Chirashree @chirashreelk ·
🚀 Day 53 of DSA Equal Sum Grid Partition I Check if one horizontal/vertical cut gives equal sum. 💡 Total even + prefix sums ⏱ O(m × n) 💾 O(m + n) #LeetCode #DSA #Java #100DaysOfCoPYk
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