Single-header, lightweight, and performant bounded priority dequeue with wide applicability via templating. Implemented in C++ as a circular buffer.
Meson
Conan
Efficiently manage data via highly-optimized data-handling techniques; without the typical overhead associated with standard library structures.
Excels in operations like bottom-up ball tree construction and TSP optimizations.
Developed out of necessity, the Bounded Priority Deque addresses the shortcomings of standard library containers by eliminating unnecessary allocations, along with the pruning of data without deallocation costs. This approach ensures high performance and reduces overhead, making it an ideal choice for complex algorithmic challenges.
Evolved from simpler data structures to a relatively sophisticated circular buffer-based vector, which minimizes destructor calls and eliminates common performance bottlenecks.
Implements an O(1) time complexity for critical operations, significantly outperforming traditional models in efficiency.
Easy implementation into any C++ project, optimizing development time and system resources.
Perfectly suited for demanding tasks in TSP solutions and advanced data structure constructions, where performance and speed are non-negotiable.
Built for developers who need full control, it operates without the usual safety checks in release mode to push the boundaries of performance.
Integrates a powerful merging operator that combines results from different threads efficiently and effectively, ideal for merging local-thread optimizations in a multi-threaded environment.
Designed to perform under pressure, it consistently delivers speed and reliability, managing complex tasks seamlessly across various operational scales.
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C++23 TSP solution demoed with CesiumJS, exploring the use of Ball Trees in Nearest Neighbor searches, optimized with LKH/kOpt heuristics.