书目名称 | Numerical Methods Using Kotlin | 副标题 | For Data Science, An | 编辑 | Haksun Li, PhD | 视频video | http://file.papertrans.cn/670/669038/669038.mp4 | 概述 | Uniquely explores numerical, computational methods using the Kotlin programming language.Includes examples and applications found in data science, analysis and engineering.Provides numerous ways to tu | 图书封面 |  | 描述 | This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started..In this book, you‘ll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you’ll see how it can help you easily create solutions for your complex engineering and data science problems. .After reading this book, you‘ll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. .What You Will Learn.Program in Kotlin using a high-performance numerical library.Learn the mathematics necessary for a wide range of numerical computing algorith | 出版日期 | Book 2023 | 关键词 | Kotlin; Java; programming; numerical; computational; algorithms; data; engineering; data science; software; so | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-8826-9 | isbn_softcover | 978-1-4842-8825-2 | isbn_ebook | 978-1-4842-8826-9 | copyright | Haksun Li, PhD 2023 |
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