
eBook - ePub
Numerical Methods Using Kotlin
For Data Science, Analysis, and Engineering
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Numerical Methods Using Kotlin
For Data Science, Analysis, and Engineering
About this book
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
Programmers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Numerical Methods Using Kotlin by Haksun Li, PhD,Haksun Li PhD in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Front Matter
- 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
- Back Matter