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Efficient Quadrature Rules for Illumination Integrals: From Quasi Monte Carlo to Bayesian Monte Carlo - Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging Ricardo Marques
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Efficient Quadrature Rules for Illumination Integrals: From Quasi Monte Carlo to Bayesian Monte Carlo - Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging
Ricardo Marques
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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2015. gada 8. jūnijs |
| ISBN13 | 9783031795664 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 82 |
| Izmēri | 236 × 191 × 8 mm · 210 g |
| Valoda | Angļu |
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