10 repository-uri
Techniques for maintaining the sorted order of an array during element insertion using binary search.
Distinct from Sorted Array Searchers: Candidates focus on merging or searching already-sorted arrays, not the active maintenance of order during insertion.
Explore 10 awesome GitHub repositories matching scientific & mathematical computing · Sorted Array Management. Refine with filters or upvote what's useful.
This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to
Implements a process for keeping arrays sorted by calculating insertion points via binary search.
This project is an algorithm template library and coding interview study guide providing reusable code patterns for common data structures and algorithms. It serves as a reference for optimized strategies and a structured learning path to build proficiency in algorithmic problem solving and competitive programming. The library focuses on standardized implementations of key algorithmic patterns, including sliding windows, backtracking, dynamic programming, and binary search. It provides specific templates for managing binary search trees, searching rotated sorted arrays, and executing divide-a
Ships optimized binary search variations for finding elements in rotated sorted arrays.
algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works. The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec
Provides a step-by-step case analysis to find the minimum value in a rotated sorted array.
This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p
Utilizes binary search to efficiently locate insertion indices within sorted arrays.
LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro
Identifies the minimum element or pivot point in a rotated sorted array using binary search.
Algodeck is an open-source collection of flash cards designed for reviewing algorithms, data structures, and system design concepts, specifically curated for technical interview preparation. The project organizes knowledge into atomic question-and-answer pairs and incorporates spaced repetition scheduling to optimize long-term memory retention. The flash card catalog covers a broad range of computer science topics, including classic sorting algorithms like quicksort and mergesort, data structure operations for arrays, trees, heaps, tries, and graphs, as well as bit manipulation techniques for
Finds a target value in a rotated sorted array by first locating the pivot and then performing binary search on the appropriate subarray.
Acest proiect este un ghid cuprinzător de pregătire pentru interviuri tehnice și o bază de cunoștințe de informatică. Acesta servește ca resursă de studiu structurată, concepută pentru a ajuta inginerii software să revizuiască conceptele fundamentale de inginerie și să se pregătească pentru evaluările profesionale de codare. Repository-ul se concentrează pe o gamă largă de domenii teoretice și practice, inclusiv referințe detaliate pentru arhitectura aplicațiilor mobile și fundamentele sistemelor de operare. Oferă materiale curatoriate despre tiparele de arhitectură software și analiza protocoalelor de rețea pentru a sprijini dezvoltarea profesională. Conținutul acoperă capabilități fundamentale precum structurile de date și algoritmii, concurența și multithreading-ul, și gestionarea memoriei. Include, de asemenea, detalii despre arhitectura sistemelor, inclusiv programarea proceselor, comunicarea între procese și optimizarea randării UI.
Uses partitioning strategies to locate rank-ordered elements within an array.
This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity. The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR opera
Implements search logic to find the smallest element greater than or equal to a target in sorted arrays.
xtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp
Deno-xtensor rearranges elements along an axis or globally to produce a sorted copy.
This project is a Go algorithm implementation library and a reference for data structures. It serves as a collection of solved coding interview problems and an algorithmic pattern collection, providing a reference of over 100 common challenges implemented in Go. The library focuses on specific problem-solving strategies, including sliding windows, two pointers, and dynamic programming. It provides coded examples of standard sorting, searching, and graph traversal techniques to facilitate the study of algorithmic patterns. The repository covers a broad range of capabilities, including array a
Identifies the rotation point of a sorted list of words using binary search.