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全英文第三版，机器人分为四个主要区域似乎是合理的：机械操纵，运动，计算机视觉和人工智能。本书介绍了机械操纵的科学与工程。这个机器人学科在几个经典领域有其基础。主要相关领域是力学，控制理论和计算机科学。在本书中，第1章到第8章涵盖了机械工程和数学的主题，第9章到第11章涵盖了控制理论材料，第12章和第13章可能被归类为计算机科学材料。此外，本书强调整个问题的计算方面;本书适用于高年级本科或一年级的研究生课程。如果学生有静态和动力学的基础课程和线性代数课程，并且可以用高级语言编程，那将会很有帮助。此外，学生完成了控制理论的入门课程，虽然不是绝对必要，但是很有帮助。本书的一个目的是以简单，直观的方式呈现材料。具体而言，观众不一定是严格的机械工程师，尽管大部分材料都来自该领域。在斯坦福大学，许多电气工程师，计算机科学家和数学家发现这本书非常易读。

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ethod while keeping a balanced approach between its mathematical formulation, programming implementation and as its application using commercial software. The computer implementation is carried out using MATLAB, while the practical applications are carried out in both MATLAB and Abaqus. MATLAB is a high-level language specially designed for dealing with matrices, making it particularly suited for programming the finite element method. In addition, it also allows the reader to focus on the finite element method by alleviating the programming burden. Experience has shown that books that include programming examples that can be implemented are of benefit to beginners. This book also includes detailed step-by-step procedures for solving problems with Abaqus interactive and keyword editions.

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This book is an outgrowth of lectures in Mathematics 240, "Applied Stochastic Processes," which I have taught a number of times at Duke University. The majority of the students in the course are graduate students from departments other than mathematics, including computer science, economics, business, biological sciences, psychology, physics, statistics, and engineering. There have also been graduate students from the mathematics department as well as some advanced undergraduates. The mathematical background of the students varies greatly, and the particular areas of stochastic processes that are relevant for their research also vary greatly.

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