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Titlebook: Numerical Methods and Applications; 6th International Co Todor Boyanov,Stefka Dimova,Geno Nikolov Conference proceedings 2007 Springer-Verl

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樓主: frustrate
21#
發(fā)表于 2025-3-25 07:04:19 | 只看該作者
Extended Object Tracking Using Mixture Kalman Filteringave particularities which pose challenges in front of methods considering the extended object as a single point. Measurements of the object extent can be used for estimating size parameters of the object, whose shape is modeled by an ellipse. This paper proposes a solution to the extended object tra
22#
發(fā)表于 2025-3-25 10:56:34 | 只看該作者
Exact Error Estimates and Optimal Randomized Algorithms for Integrationupper-bound estimate coincide. The algorithm with such an exact rate is called .. Such an algorithm has an . rate of convergence..The problem of existing exact estimates and optimal algorithms is discussed for some functional spaces that define the regularity of the integrand. Important for practica
23#
發(fā)表于 2025-3-25 14:44:41 | 只看該作者
24#
發(fā)表于 2025-3-25 18:01:27 | 只看該作者
Parallel Monte Carlo Sampling Scheme for Sphere and Hemispheretion in closed domains is solved. Monte Carlo methods for solving the rendering equation use sampling of the solid angle subtended by unit hemisphere or unit sphere in order to perform the numerical integration of the rendering equation..In this work we consider the problem for generation of uniform
25#
發(fā)表于 2025-3-25 23:15:49 | 只看該作者
26#
發(fā)表于 2025-3-26 01:34:41 | 只看該作者
Quasi-random Walks on Balls Using C.U.D. Sequencesy uniformly distributed (c.u.d.) sequences. This approach is novel for solving elliptic boundary value problems. The enhanced uniformity of c.u.d. sequences leads to faster convergence. We demonstrate that c.u.d. sequences can be a viable alternative to pseudorandom numbers when solving elliptic bou
27#
發(fā)表于 2025-3-26 05:44:27 | 只看該作者
978-3-540-70940-4Springer-Verlag Berlin Heidelberg 2007
28#
發(fā)表于 2025-3-26 09:25:53 | 只看該作者
Numerical Methods and Applications978-3-540-70942-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
29#
發(fā)表于 2025-3-26 15:27:54 | 只看該作者
0302-9743 Overview: 978-3-540-70940-4978-3-540-70942-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
30#
發(fā)表于 2025-3-26 19:56:45 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/669042.jpg
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