Algorithmic Thinking Patterns
Instead of just solutions, this section explores the mental models and core patterns used to break down complex problems. From dynamic programming from first principles to optimizing algorithms for cache locality and memory alignment.
Pattern Recognition
Breaking down problems into known algorithmic primitives like Monotonic Stacks, Sliding Windows, and Interval Scheduling.
System-Level Optimization
Analyzing how data structures interact with the hardware—focusing on cache hits, branch prediction, and SIMD potential.