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Efficient Quadrature Rules For Illumination Integrals
From Quasi Monte Carlo To Bayesian Monte Carlo
idioma: inglês
Editor:
Springer International Publishing AG, junho de 2015 ‧
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40,55€
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SINOPSE
One must thus ensure that sampling produces the highest amount of information possible by carefully placing and weighting the limited set of samples. Furthermore, the integral evaluation should take into account not only the information brought by sampling but also possible information available prior to sampling, such as the integrand smoothness.
DETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9783031795664 |
| Editor: | Springer International Publishing AG |
| Data de Lançamento: | junho de 2015 |
| Idioma: | Inglês |
| Dimensões: | 191 x 235 x 20 mm |
| Encadernação: | Capa mole |
| Páginas: | 82 |
| Tipo de produto: | Livro |
| Coleção: | Synthesis Lectures On Visual Computing: Computer Graphics, Animation, Computational Photography And Imaging |
| Classificação Temática: |
Livros em Inglês
>
Ciências Exatas e Naturais
>
Matemática
|
| EAN: | 9783031795664 |
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