---
title: "Holger Wendland Scattered Data Approximation"
brand: "Holger Wendland"
category: "Ukategoriseret"
price_min: 539
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/scattered-data-approximation-e01610
last_checked: 2026-07-22
---

# Holger Wendland Scattered Data Approximation

Mærke: Holger Wendland · Kategori: Ukategoriseret

Sammenlign priser på Holger Wendland Scattered Data Approximation fra 1 forhandler. Billigste pris nu: 539 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/scattered-data-approximation-e01610

## Priser
- **Billigste pris nu:** 539 kr hos Saxo DK

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 539 kr | — |

## Om produktet
Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, complete introduction into this subject. It concentrates on truly meshless methods such as radial basis functions, moving least squares, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface reconstruction, fluid-structure interaction, and the numerical solution of partial differential equations. It then leads the reader from basic properties to the current state of research, addressing all important issues, such as existence, uniqueness, approximation properties, numerical stability, and efficient implementation. Each chapter ends with a section giving information on the historical background and hints for further reading. Complete proofs are included, making this perfectly suited for graduate courses on multivariate approximation and it can be used to support courses in computer-aided geometric design, and meshless methods for partial differential equations.

---

Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/scattered-data-approximation-e01610
Priserne er sidst kontrolleret 2026-07-22.
