Numerical Methods Using Java For Data Science, Analysis, and Engineering
Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics. You'll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes. Numerical Methods Using Java covers...
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Apress
2022
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Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 1: Introduction to Numerical Methods in Java
- 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
- References