Numerical Methods Using Kotlin
For Data Science, Analysis, and Engineering
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Beschreibung
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.
You will:
- 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
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.
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 turn ideas and equations into code
Autor*in
PhD Li
Themen in »Numerical Methods Using Kotlin«
Kotlin Java programming numerical computational algorithms data engineering data science software source code JVM open source analysis