Search Results for "include"

...It covers binary trees, linked lists, strings, bit operations, mathematics, sequences, arrays, sorting, and miscellaneous interview-style exercises. Many categories contain several related problems so learners can compare recurring techniques and data structures. Some problems include more than one implementation, allowing different approaches to be examined side by side. Every solution is accompanied by tests, and part of the repository was developed using test-driven development. Sorting examples include bubble, selection, insertion, merge, and quick sort. The project is intended for algorithm practice, implementation study, and experimentation rather than as a reusable production library.

Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...

Based on the classification algorithm coverage tools JCover，developed by java and it's open source.at present,it include field-cover and cross-cover.

distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.

An open source initiative for developing a scalable, high-speed trading desk. The Open Trading Desk will support trading in a variety of markets, to include: equities, options, mutual funds and ETFs, Forex, Bonds and Algorithmic trading.