Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming.
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Versions (3)
Used By (22)
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Books (10)
Java Generics and Collections: Fundamentals and Recommended Practices (2025) by Naftalin, Maurice, Wadler, Philip Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (2023) by Nelson, Hala Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (2022) by Nield, Thomas Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (2020) by Bruce, Peter, Bruce, Andrew, Gedeck, Peter Mastering Java Collections: From Basics to Expert Proficiency (2024) by Smith, William Learn Java with Math: Using Fun Projects and Games (2019) by Dai, Ron A Java Library of Graph Algorithms and Optimization (Discrete Mathematics and Its Applications) (2019) by Lau, Hang T. Learn Java with Math: Using Fun Projects and Games (2019) by Dai, Ron Java Generics and Collections: Speed Up the Java Development Process (2006) by Naftalin, Maurice, Wadler, Philip Data Structures and the Java Collections Framework (2011) by Collins, William J.
