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Books > Computing & IT > Computer programming > Programming languages

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Numerical Methods Using Kotlin - For Data Science, Analysis, and Engineering (Paperback, 1st ed.) Loot Price: R1,608
Discovery Miles 16 080
You Save: R403 (20%)
Numerical Methods Using Kotlin - For Data Science, Analysis, and Engineering (Paperback, 1st ed.): Haksun Li, PhD

Numerical Methods Using Kotlin - For Data Science, Analysis, and Engineering (Paperback, 1st ed.)

Haksun Li, PhD

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List price R2,011 Loot Price R1,608 Discovery Miles 16 080 | Repayment Terms: R151 pm x 12* You Save R403 (20%)

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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 algorithms Convert ideas and equations into code Put together algorithms and classes to build your own engineering solutions Build solvers for industrial optimization problems Perform data analysis using basic and advanced statistics Who This Book Is For Programmers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.

General

Imprint: Apress
Country of origin: United States
Release date: 2023
First published: 2022
Authors: Haksun Li, PhD
Dimensions: 254 x 178mm (L x W)
Format: Paperback
Pages: 899
Edition: 1st ed.
ISBN-13: 978-1-4842-8825-2
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 1-4842-8825-4
Barcode: 9781484288252

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