|
| Titre : |
Numerical Methods Using Java : for data science, analysis, and engineering |
| Type de document : |
texte imprimé |
| Auteurs : |
Haksun Li, Auteur |
| Editeur : |
Apress |
| Année de publication : |
2022 |
| Importance : |
1 vol (1186 f.) |
| Présentation : |
illustrations |
| Format : |
26 cm. |
| ISBN/ISSN/EAN : |
978-1-4842-6796-7 |
| Langues : |
Anglais (eng) |
| Catégories : |
Informatique
|
| Mots-clés : |
Informatique |
| Index. décimale : |
004 - Informatique |
| Résumé : |
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 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. |
| Note de contenu : |
Sommaire
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: Times Series Analysis
References |
| Côte titre : |
Fs/25025 |
Numerical Methods Using Java : for data science, analysis, and engineering [texte imprimé] / Haksun Li, Auteur . - Usa : Apress, 2022 . - 1 vol (1186 f.) : illustrations ; 26 cm. ISBN : 978-1-4842-6796-7 Langues : Anglais ( eng)
| Catégories : |
Informatique
|
| Mots-clés : |
Informatique |
| Index. décimale : |
004 - Informatique |
| Résumé : |
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 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. |
| Note de contenu : |
Sommaire
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: Times Series Analysis
References |
| Côte titre : |
Fs/25025 |
|  |
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