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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Li, Haksun (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Apress, [2023]
Temas:
Numerical analysis > Data processing.
Analyse numérique > Informatique.
Numerical analysis > Data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

Ejemplares similares