找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 00:50
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
句容市| 汉寿县| 上林县| 鄂州市| 历史| 华容县| 莒南县| 南涧| 星座| 贵州省| 遵化市| 重庆市| 金溪县| 南华县| 唐河县| 万山特区| 文昌市| 万年县| 凌源市| 西乌珠穆沁旗| 靖宇县| 罗甸县| 宁阳县| 成武县| 白城市| 那曲县| 漠河县| 丁青县| 营口市| 芒康县| 且末县| 新密市| 津市市| 崇左市| 昌黎县| 河曲县| 华安县| 诏安县| 榕江县| 崇礼县| 瑞安市|