Ernie's Leisure Code
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  • May 22, 2025

    Sliding-Window Average in O(m) Time

  • May 22, 2025

    Maximum Contiguous Subarray: Kadane’s Algorithm

  • May 22, 2025

    Naive Recursive Fibonacci: Why It Explodes and How to Fix It

  • May 21, 2025

    Remove Duplicates from a Sorted Array

  • May 21, 2025

    Random Ants on a Stick: Expected Time Until All Fall Off

  • May 21, 2025

    Order Statistics of Uniform(0,1): Max and Min

  • May 21, 2025

    In-Place Variable Swap: No Temp Needed

  • May 21, 2025

    Efficient Polynomial Evaluation with Horner’s Rule

  • May 21, 2025

    Biased Gambler’s Ruin: Unequal Initial Fortunes

  • May 21, 2025

    Dice Duel: Rolling a 12 Before Two Sevens in a Row

  • May 21, 2025

    Correlation of Min and Max of Two Uniform Variables

  • May 21, 2025

    Color Consensus: Expected Steps to Uniformity

  • May 21, 2025

    Penney’s Game: Waiting Times, Sequence Races, and Optimal Strategies

  • May 20, 2025

    The Noodle Connection Puzzle: Expected Number of Loops

  • May 20, 2025

    The Meeting Problem: Will They Overlap?

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Ernie's Leisure Code

  • Ernie's Leisure Code
  • ernie55ernie@zohomail.com
  • ernie55ernie
  • b01505025

Ernie Chang is a quantitative researcher and PhD candidate working at the intersection of high-frequency trading, market microstructure, and machine learning. His work spans execution-aware alpha modeling, reinforcement learning for trading strategies, and adversarial perspectives on network security, with publications in leading IEEE venues.