500+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
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Difficulty: Easy
Category: data_structures
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: priority-queue, min-heap, top-n, data_structures, fixed-size, streaming
A fixed-size min-heap is a highly efficient data structure for tracking the top-N largest items from a high-throughput data stream. In quantitative finance, this technique is critical for building real-time risk dashboards and detecting large block trades, providing O(log N) performance per update essential for HFT systems. Task Implement the function top_n_tracker(int n, const std::vector<int>& values) that finds the top n largest integers from an input vector. Using a min-heap of capacity n,
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