Verification of a Subgraph Construction Algorithm for Geometric Graphs - VMCAI 2024
Explore automated verification of a subgraph construction algorithm, focusing on geometric graph properties, edge removal, and connectivity preservation in Euclidean plane representations.
Immutability - Putting The Dream Machine To Work
Exploring immutable data structures for efficient programming on modern devices. Discusses historical context, persistent data structures, and practical applications in libraries like Om and React.
Data Structures with Python
Aprenda estruturas de dados em Python com uma abordagem híbrida que reduziu a taxa de reprovação de 85% para 12%. Inclui recursão, listas encadeadas, filas, pilhas e algoritmos de ordenação.
From Zero to Binary Search Tree
Explore fundamental data structures like Hash Tables, Arrays, Stacks, Queues, Linked Lists, and Binary Search Trees through hands-on building, enhancing your structured data skills for JavaScript development.
Delete Nth Node From Last in Linked List
Master deleting the Nth node from the end of a linked list with three efficient approaches. Enhance your data structure skills and prepare for technical interviews.
Designing Fast and Efficient List-like Data Structures
Explore optimized list-like data structures for modern CPUs, reducing cache misses and improving performance over STL equivalents in multi-core architectures.
Performance Matters: New Tricks for Old Dogs - Lecture 1
Explore performance-oriented C++ techniques, including faster erasure methods, cache-friendly linked lists, and efficient random-access containers. Suitable for both newcomers and experienced developers.
SuSLik: Deductive Synthesis of Safe Programs with Pointers - Tutorial 1b
Explore deductive program synthesis for creating provably correct pointer-manipulating programs using SuSLik. Practice specifying programs with formal logic and learn about separation logic.
Data Structure and Algorithm with Interview Questions - Comprehensive Python Guide
Comprehensive guide to data structures and algorithms, covering essential concepts, Python implementation, and practical applications in AI. Includes interview preparation and coding challenges.