51 resultados para Jacobian arithmetic

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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On the basis of signed-digit negabinary representation, parallel two-step addition and one-step subtraction can be performed for arbitrary-length negabinary operands.; The arithmetic is realized by signed logic operations and optically implemented by spatial encoding and decoding techniques. The proposed algorithm and optical system are simple, reliable, and practicable, and they have the property of parallel processing of two-dimensional data. This leads to an efficient design for the optical arithmetic and logic unit. (C) 1997 Optical Society of America.

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A compact two-step modified-signed-digit arithmetic-logic array processor is proposed. When the reference digits are programmed, both addition and subtraction can be performed by the same binary logic operations regardless of the sign of the input digits. The optical implementation and experimental demonstration with an electron-trapping device are shown. Each digit is encoded by a single pixel, and no polarization is included. Any combinational logic can be easily performed without optoelectronic and electro-optic conversions of the intermediate results. The system is compact, general purpose, simple to align, and has a high signal-to-noise ratio. (C) 1999 Optical Society of America.

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Based on the two-step modified signed-digit (MSD) algorithm, we present a one-step algorithm for the parallel addition and subtraction of two MSD numbers. This algorithm is reached by classifying the three neighboring digit pairs into 10 groups and then making a decision on the groups. It has only a look-up truth table, and can be further formulated by eight computation rules. A joint spatial encoding technique is developed to represent both the input data and the computation rules. Furthermore, an optical correlation architecture is suggested to implement the MSD adder in parallel. An experimental demonstration is also given. (C) 1996 Society of Photo-Optical instrumentation Engineers.

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视觉伺服可以应用于机器人初始定位自动导引、自动避障、轨线跟踪和运动目标跟踪等控制系统中。传统的视觉伺服系统在运行时包括工作空间定位和动力学逆运算两个过程,需要实时计算视觉雅可比矩阵和机器人逆雅可比矩阵,计算量大,系统结构复杂。本文分析了基于图像的机器人视觉伺服的基本原理,使用BP神经网络来确定达到指定位姿所需要的关节角度,将视觉信息直接融入伺服过程,在保证伺服精度的情况下大大简化了控制算法。文中针对Puma560工业机器人的模型进行了仿真实验,结果验证了该方法的有效性。

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Hypersonic viscous flow around a space shuttle with M(infinity) = 7, Re = 148000 and angle of attack alpha = 5-degrees is simulated numerically with the special Jacobian matrix splitting technique and simplified diffusion analogy method. With the simplified diffusion analogy method the efficiency of computation and resolution of the shock can be improved.

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A perturbational h4 compact exponential finite difference scheme with diagonally dominant coefficient matrix and upwind effect is developed for the convective diffusion equation. Perturbations of second order are exerted on the convective coefficients and source term of an h2 exponential finite difference scheme proposed in this paper based on a transformation to eliminate the upwind effect of the convective diffusion equation. Four numerical examples including one- to three-dimensional model equations of fluid flow and a problem of natural convective heat transfer are given to illustrate the excellent behavior of the present exponential schemes, the h4 accuracy of the perturbational scheme is verified using double precision arithmetic.

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《计算流体力学》是为高等院校和科研单位研究生撰写的“计算流体力学”课程的教科书。全书共分九章。前五章讲述了计算流体力学中的基本概念和基本方法。包括流体动力学的诸方程和模型方程及其数学性质、数值解的理论依据、基本计算方法和数值解的行为分析等。计算方法包含有空间离散方法、代数方程和非定常方程(包括时间离散)的求解方法。这里涉及到的离散方法有有限差分方法、有限体积方法、有限元方法和谱方法。这些都是已经成熟和具有普适性的方法。书中描述了构造这些方法的基本思想,重点是有限差分方法。书中的后四章是针对各种物理问题讲述计算方法。这里包含低速不可压和高速可压缩流体运动数值模拟的计算方法和网格生成技术。着重阐述了针对不同物理问题的特征对计算方法精度的要求,及构造不同计算方法的基本思想,且给出了一些简单物理问题的数值模拟结果,以证实计算方法的有效性。

目录

主要符号表
第一章 引论
1.1 计算流体力学及其特征
1.2 计算流体力学的发展
1.3 本书的目的和内容
参考文献
习题

第二章 流体力学方程及模型方程
2.1 流体力学基本方程
2.2 模型方程及其数学性质
2.3 双曲型方程组的初边值问题
2.4 Riemann间断解
参考文献
习题

第三章 偏微分方程的数值解法
3.1 有限差分法
3.2 偏微分方程的全离散
3.3 有限体积法
3.4 有限元方法
3.5 谱方法
参考文献
习题

第四章 高精度有限差分法及数值解的行为分析
4.1 模型方程及半离散化方程
4.2 高精度差分逼近式
4.3 数值解的精度及分辨率分析
4.4 数值解中的耗散效应与色散效应
4.5 数值解的群速度
4.6 数值解行为的进一步分析
4.7 时间离散的色散与耗散效应
参考文献
习题

第五章 代数方程的求解
5.1 Gauss消去法
5.2 标量追赶法
5.3 矩阵追赶法及LU分解法
5.4 迭代法求解代数方程
5.5 交替方向追赶法
5.6 非线性方程的求解
5.7 时间关系法及局部时间步长法
参考文献
习题

第六章 可压缩流体力学方程组的离散
6.1 一维流体力学方程及Jacobian系数矩阵的分裂
6.2 一维Euler方程的离散
6.3 Godunov间断分解法
6.4 Roe格式与Roe分解
6.5 多维问题的差分逼近
6.6 粘性项的差分逼近
参考文献
习题

第七章激波高分辨率差分格式
7.1 数值解中的非物理振荡
7.2 一阶TVD格式
7.3 二阶TVD格式
7.4 TVD格式在流体力学中的应用
7.5 MUSCL格式
7.6 其他类型的高分辨率格式
参考文献
习题

第八章 不可压Navier-Stokes方程的差分逼近
8.1 控制方程
8.2 求解定常N-S方程的人工压缩性方法
8.3 非定常原始变量N-S方程的求解
8.4 涡量-流函数法
参考文献
习题

第九章 网格技术
9.1 网格生成技术
9.2 非结构网格
9.3 基于非等距网格的有限差分法
习题
专业名词索引
外国人名译名对照表
Synopsis
Contents
作者简介

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通过直接数值模拟(DNS)研究槽道湍流的性质和机理。包含五个部分:1)湍流直接数值模拟的差分方法研究。2)求解不可压N-S方程的高效算法和不可压槽道湍流的直接数值模拟。3)可压缩槽道湍流的直接数值模拟和压缩性机理分析。4)“二维湍流”的机理分析。5)槽道湍流的标度律分析。1.针对壁湍流计算网格变化剧烈的特点,构造了基于非等距网格的的迎风紧致格式。该方法直接针对计算网格构造格式中的系数,克服了传统方法采用 Jacobian 变换因网格变化剧烈而带来的误差。针对湍流场的多尺度特性分析了差分格式的精度、网格尺度与数值模拟能分辨的最小尺度的关系,给出不同差分格式对计算网格步长的限制。同时分析了计算中混淆误差的来源和控制方法,指出了迎风型紧致格式能很好地控制混淆误差。2.将上述格式与三阶精度的Adams半隐格式相结合,构造了不可压槽道湍流直接数值模拟的高效算法。该算法利用基于交错网格的离散形式的压力Poisson方程求解压力项,避免了压力边界条件处理的困难。利用FFT对方程中的隐式部分进行解耦,解耦后的方程采用追赶法(LU分解法)求解,大大减少了计算量。为了检验该方法,进行了三维不可压槽道湍流的直接数值模拟,得到了Re=2800的充分发展不可压槽道湍流,并对该湍流场进行了统计分析。包括脉动速度偏斜因子在内的各阶统计量与实验结果及Kim等人的计算结果吻合十分理想,说明本方法是行之有效的。3.进行了三维充分发展的可压缩槽道湍流的直接数值模拟。得到了 Re=3300,Ma=0.8的充分发展可压槽道湍流的数据库。流场的统计特征(如等效平均速度分布,“半局部”尺度无量纲化的脉动速度均方根)和他人的数值计算结果吻合。得到了可压槽道湍流的各阶统计量,其中脉动速度的偏斜因子和平坦因子等高阶统计量尚未见其他文献报道。同时还分析了压缩性效应对壁湍流影响的机理,指出近壁处的压力-膨胀项将部分湍流脉动的动能转换成内能,使得可压湍流近壁速度条带结构更加平整。4.模拟了二维不可压槽道流动的饱和态(所谓“二维湍流”),分析了“二维槽道湍流”的非线性行为特征。分析了流场中的上抛-下扫和间歇现象,研究了“二维湍流”与三维湍流的区别。指出“二维湍流”反映了三维湍流的部分特征,同时指出了展向扰动对于湍流核心区发展的重要性。5.首次对可压缩槽道湍流及“二维槽道湍流”标度律进行了分析,得出了以下结论:a)槽道湍流中,在槽道中心线附近较宽的区域,存在标度律。b)该区域流场存在扩展自相似性(ESS)。c)在Mach数不是很高时,压缩性对标度指数影响不大。本文结果同SL标度律的理论值吻合较好,有效支持了该理论。对“二维槽道湍流”也有相似的结论,但与三维湍流不同的是,“二维槽道湍流”存在标度律的区域更宽,近壁处的标度指数比中心处有所升高。

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We propose a highly efficient content-lossless compression scheme for Chinese document images. The scheme combines morphologic analysis with pattern matching to cluster patterns. In order to achieve the error maps with minimal error numbers, the morphologic analysis is applied to decomposing and recomposing the Chinese character patterns. In the pattern matching, the criteria are adapted to the characteristics of Chinese characters. Since small-size components sometimes can be inserted into the blank spaces of large-size components, we can achieve small-size pattern library images. Arithmetic coding is applied to the final compression. Our method achieves much better compression performance than most alternative methods, and assures content-lossless reconstruction. (c) 2006 Society of Photo-Optical Instrumentation Engineers.

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We propose a highly efficient content-lossless compression scheme for Chinese document images. The scheme combines morphologic analysis with pattern matching to cluster patterns. In order to achieve the error maps with minimal error numbers, the morphologic analysis is applied to decomposing and recomposing the Chinese character patterns. In the pattern matching, the criteria are adapted to the characteristics of Chinese characters. Since small-size components sometimes can be inserted into the blank spaces of large-size components, we can achieve small-size pattern library images. Arithmetic coding is applied to the final compression. Our method achieves much better compression performance than most alternative methods, and assures content-lossless reconstruction. (c) 2006 Society of Photo-Optical Instrumentation Engineers.

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Intrinsically fuzzy morphological erosion and dilation are extended to a total of eight operations that have been formulated in terms of a single morphological operation--biased dilation. Based on the spatial coding of a fuzzy variable, a bidirectional projection concept is proposed. Thus, fuzzy logic operations, arithmetic operations, gray-scale dilation, and erosion for the extended intrinsically fuzzy morphological operations can be included in a unified algorithm with only biased dilation and fuzzy logic operations. To execute this image algebra approach we present a cellular two-layer processing architecture that consists of a biased dilation processor and a fuzzy logic processor. (C) 1996 Optical Society of America

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Fuzzy sets in the subject space are transformed to fuzzy solid sets in an increased object space on the basis of the development of the local umbra concept. Further, a counting transform is defined for reconstructing the fuzzy sets from the fuzzy solid sets, and the dilation and erosion operators in mathematical morphology are redefined in the fuzzy solid-set space. The algebraic structures of fuzzy solid sets can lead not only to fuzzy logic but also to arithmetic operations. Thus a fuzzy solid-set image algebra of two image transforms and five set operators is defined that can formulate binary and gray-scale morphological image-processing functions consisting of dilation, erosion, intersection, union, complement, addition, subtraction, and reflection in a unified form. A cellular set-logic array architecture is suggested for executing this image algebra. The optical implementation of the architecture, based on area coding of gray-scale values, is demonstrated. (C) 1995 Optical Society of America