Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering 1st Edition Haksun Li

Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering – Ebook Instant Download/Delivery ISBN(s): 9781484288269,1484288262

Product details:

• ISBN-10 ‏ : ‎ 1484288254
• ISBN-13 ‏ : ‎ 978-1484288252
• Author(s): Haksun Li, PhD

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.

Table contents:

1. Introduction to Numerical Methods in Kotlin/S2
2. Linear Algebra
3. Finding Roots of Equations
4. Finding Roots of System of Equations
5. Curve Fitting and Interpolation
6. Numerical Differentiation and Integration
7. Ordinary Differential Equations
8. Partial Differential Equations
9. Unconstrained Optimization
10. Constrained Optimization
11. Heuristics
12. Basic Statistics
13. Random Numbers and Simulation
14. Linear Regression
15. Time-Series Analysis

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