In order to improve the accuracy and efficiency of the inverse kinematics algorithm for general 6r robots, an optimized algorithm was proposed based on symbolic processing and matrix decomposition.
为提高一般6r机器人逆运动学算法的精度和效率，提出一种基于符号运算和矩阵分解的优化算法。
It's also extensible, with packages developed by users for speech processing, optimization, symbolic computation, and others.
可以很容易利用用户开发的用来进行语音处理、优化、符号计算等的包对它进行扩展。
Beside numerical and symbolic computational support, Mathematica includes image processing, parallel High-Performance Computing (HPC), interactive documents, and others.
除了支持数值和符号计算，Mathematica还包括图像处理、并行的高性能计算(HPC)、交互式文档及其它内容。
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