Sorting Algorithms, Binary Search on Answer & Log Analytics Project
Master divide-and-conquer sorting (MergeSort, QuickSort, TimSort), Binary Search on arbitrary monotonically bounded functions, and build a log analytics project.
Divide-and-conquer principles and arrays
Mastery of Merge Sort, Dual-Pivot QuickSort, TimSort heuristics, LSD Radix Sort, and binary search on answer spaces.
Read in order, or jump to what you need.
Every lesson builds on the one before it. Open any lesson to read the explanation, run the examples, and try the practice challenges.
- 09.01Divide & Conquer: MergeSort Stability vs QuickSort In-Place Partitioning4 min
Master divide-and-conquer sorting. Contrast MergeSort stability and guaranteed O(N log N) bounds with QuickSort Lomuto/Hoare partitioning and Dual-Pivot optimizations.
- 09.02Binary Search Mastery: Monotonicity & Binary Search on Answer Space4 min
Master logarithmic search. Understand upper/lower bounds, off-by-one boundary conditions, and the advanced paradigm of Binary Search on Answer Space.
- 09.03Hybrid and Non-Comparison Sorting: TimSort Invariants and Radix Sort4 min
Deconstruct the internal workings of Java's Arrays.sort: TimSort run-merging heuristics, non-comparison Radix Sort, and functional Comparator composition chains.
- 09.04Guided Project 2: High-Throughput Log Analytics & Binary Search IndexProject4 min
Engineer an in-memory log indexing and search engine. Parse structured timestamps, index log records with binary search bounds, and filter anomalies with sliding windows.
Ready to move on?
Deliver Project 2: High-Performance Log Analytics Search Engine.
Open the module self-check