Name: Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering (en Inglés)
SKU: 55913948
Price: 58520.00 CLP
Availability: InStock
Author: Li Phd Haksun
ISBN: 9781484288252

portada Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering (en Inglés)

Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Li Phd Haksun

Idioma

Inglés

N° páginas

899

Encuadernación

Tapa Blanda

ISBN13

9781484288252

N° edición

Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering (en Inglés)

Li Phd Haksun (Autor) · Apress · Tapa Blanda

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Reseña del libro "Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering (en Inglés)"

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 LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.