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LeetCode 34 asks for the first and last indices of a target in a non‑decreasing integer array, returning [-1,-1] when absent, and can be solved in O(log n) time by applying two binary‑search passes—one locating the leftmost occurrence and the other the rightmost—illustrated with Java, C++, and Python implementations.
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Binary search is an efficient O(log n) algorithm for locating a target value in a sorted array, and this article explains its step-by-step process, provides iterative and recursive PHP code examples, and discusses their usage and performance considerations.
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This article explains how databases store data on various storage media, why indexes dramatically speed up queries through sorted structures and binary search, discusses different index types such as clustered indexes, and outlines common SQL optimization practices while warning against excessive indexing and typical pitfalls.
This article introduces the classic Two Sum problem, explains its brute‑force O(n²) approach, then presents an optimal O(n) hash‑table solution and a more advanced sort‑plus‑binary‑search method, providing complete C++ implementations and performance comparisons for each technique.
This article explains the O(log N) efficiency of binary search, provides a clear template implementation in code, highlights common pitfalls, and presents two useful variants for finding the first equal or first greater‑or‑equal element in a sorted array.
This article explains the binary search algorithm for locating a target element in a sorted array, describing its midpoint‑starting process, halving of the search range, termination conditions, and includes a simple example with its output.
This article explains the classic binary search algorithm, shows how to find the first and last occurrence of a target in a sorted array, presents a combined solution, and extends the technique to efficiently locate elements in a rotated sorted array using one or two binary searches.
This article explains the classic binary search algorithm, presents a Java implementation, and details multiple binary‑search variants—including finding first/last equal elements, elements less than or greater than a key—while providing clear code examples and guidance on boundary handling.