Numerical methods using Kotlin for data science, analysis, and engineering
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, re...
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| Format: | eBook |
| Language: | English |
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New York, NY
Apress
2023
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 1: Introduction to Numerical Methods in Kotlin
- 2: Linear Algebra
- 3: Finding Roots of Equations
- 4: Finding Roots of Systems 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