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ε‑greedy

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IT Services Circle
IT Services Circle
Aug 17, 2024 · Fundamentals

Algorithmic Interview Problems: Travel Plan, Homework Scheduling, Flower Bed Beauty, and Simple Hash Table Restoration

This article presents four algorithmic interview problems covering travel scheduling with priority constraints, optimal homework task ordering, maximizing distinct garden beauty scores after a single flip operation, and reconstructing insertion sequences for a linear‑probing hash table, each with detailed analysis, solution ideas, and reference Python code.

algorithmcoding interviewhash table
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Algorithmic Interview Problems: Travel Plan, Homework Scheduling, Flower Bed Beauty, and Simple Hash Table Restoration
Model Perspective
Model Perspective
Jan 22, 2024 · Artificial Intelligence

How A/B Testing and the ε‑Greedy Multi‑Armed Bandit Can Boost Decisions

This article explains the principles of A/B testing and the ε‑greedy multi‑armed bandit algorithm, illustrates their practical use in e‑commerce recommendation optimization, and draws broader life lessons about balancing exploration and exploitation for better personal and professional decisions.

A/B testingExploration vs exploitationMulti-armed bandit
0 likes · 6 min read
How A/B Testing and the ε‑Greedy Multi‑Armed Bandit Can Boost Decisions
IT Services Circle
IT Services Circle
Apr 11, 2022 · Fundamentals

Maximum Satisfaction (LeetCode 1402) – Greedy Algorithm Solution

This article explains the LeetCode 1402 problem of maximizing the total satisfaction score by arranging dishes, describes the greedy approach of sorting and using suffix sums, and provides a Java implementation that iteratively adds positive suffix sums to compute the optimal result.

JavaLeetCodealgorithm
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Maximum Satisfaction (LeetCode 1402) – Greedy Algorithm Solution