7 रिपॉजिटरी
Algorithms for compressing repetitive string patterns using compact tuple representations.
Distinct from String Processing Algorithms: Focuses on repetition compression, distinct from general string processing.
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This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin
Implements algorithms for compressing repetitive string patterns.
A very compact representation of a placeholder for an image.
Converts BlurHash strings back into blurred image representations across multiple platforms.
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
Implements stack-based parsing to decode compressed strings with nested repetition patterns.
This project is a comprehensive library of reference implementations for fundamental data structures and algorithms, designed to support technical interview preparation and software engineering assessments. It provides a structured collection of computational techniques for solving complex problems involving arrays, strings, graphs, trees, and mathematical analysis. The library distinguishes itself by offering specialized implementations for advanced topics, including concurrent programming patterns and geometric algorithms. It features thread-safe primitives for managing shared state and tas
Reduces string size by replacing consecutive identical characters with a count of their occurrences.
This project is a comprehensive collection of C++ libraries and toolkits providing reference implementations for data structures, graph algorithms, and bitwise logic. It serves as a C++ algorithm reference containing over 180 solved coding problems and a specialized toolkit for competitive programming. The repository distinguishes itself through extensive low-level bit manipulation libraries for parity checks, endianness detection, and XOR-based logic. It also provides a wide array of reference solutions for complex algorithmic challenges involving backtracking, graph theory, and dynamic prog
Implements a basic string compression algorithm replacing repeated characters with their occurrence count.
LeetCode-Swift is a collection of algorithm solutions written in Swift, designed for coding interview preparation. Each solution is implemented as a self-contained function with no external dependencies, making it easy to run and test. The repository organizes solutions by topic and company, and every file includes time and space complexity annotations, allowing quick evaluation of algorithmic efficiency. What sets this repository apart is its flat file structure and the way solutions are tagged with the companies that asked them in interviews, enabling targeted practice. All code resides in
Implements decoding of strings with repetition numbers, a common interview problem.
यह प्रोजेक्ट एल्गोरिथम पैटर्न, डेटा संरचना कार्यान्वयन और सिस्टम डिज़ाइन नोट्स का एक क्यूरेटेड संदर्भ पुस्तकालय है। यह एक Java एल्गोरिथम समस्या सेट और एक प्रतिस्पर्धी प्रोग्रामिंग गाइड के रूप में कार्य करता है, जो LeetCode और LintCode जैसे प्लेटफ़ॉर्म से कोडिंग चुनौतियों के लिए समाधानों का संग्रह प्रदान करता है। यह लाइब्रेरी उन्नत डेटा संरचनाओं और एल्गोरिथम रणनीतियों के लिए Java कार्यान्वयन के अपने व्यापक सेट द्वारा प्रतिष्ठित है। इसमें समय और स्थान जटिलता विश्लेषण के साथ जटिल समस्याओं को हल करने के लिए विस्तृत संदर्भ शामिल हैं। यह प्रोजेक्ट कंप्यूटर विज्ञान के मूल सिद्धांतों की एक विस्तृत सतह को कवर करता है, जिसमें एल्गोरिथम डिज़ाइन, डेटा संरचना कार्यान्वयन और सिस्टम डिज़ाइन शामिल हैं। इसकी सामग्री ग्राफ़ सिद्धांत, डायनेमिक प्रोग्रामिंग, खोज और ऑप्टिमाइज़ेशन, और रैखिक डेटा प्रसंस्करण तकनीकों तक फैली हुई है। इसमें इंफ्रास्ट्रक्चर स्केलेबिलिटी, प्रदर्शन कैशिंग और सॉफ़्टवेयर आर्किटेक्चर पैटर्न पर नोट्स भी शामिल हैं।
Provides algorithmic implementations for compressing strings by replacing consecutive identical characters with counts.