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Digital Functions and Data Reconstruction Digital-Discrete Methods /

Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to the theory of digital functions and its applications to image data analysis, digital object deformation, and data reconstruction. This new method has a unique feature in that it is mainly built on disc...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chen, Li (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Functions and Relations
  • Functions in Digital and Discrete Space
  • Gradually Varied Extensions
  • Digital and Discrete Deformation
  • Basic Numerical and Computational Methods
  • Digital-Discrete Approaches for Smooth Functions
  • Digital-Discrete Methods for Data Reconstruction
  • Harmonic Functions for Data Reconstruction on 3D Manifolds
  • Gradual Variations and Partial Differential Equations
  • Gradually Varied Functions for Advanced Computational Methods
  • Digital-Discrete Method and Its Relations to Graphics and AI Methods.