Numerical Methods Using Kotlin : For Data Science, Analysis, and Engineering

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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Detalles Bibliográficos
Otros Autores: Li, Haksun, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2023.
Edición:1st ed. 2023.
Materias:
Numerical analysis > Data processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711808206719
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.

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