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Packaging Geometric measures to check requirements Occupant model Inputs Shoulder room, knee room etc Roominess measure GM RD Trunk∨oume
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Massachusetts Institute of Technology-Prof. de Weck and Prof. Willcox Massachusetts Insfitute of Technology-Prof. de Weck and P Dept. of A Mlesd Why Approximation Methods? 0. Mlesd Approximation Methods
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I. Structural Optimization ll. Integrated Structural Optimization lll. Design Space Optimization Massachusetts Institute of Technology-Dr. Yong Kim
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Computer technologies have been changing the environment of engineering design-enabling MDO Hardware: Advances in processor speed, memory and storage Software: Powerful disciplinary analysis and simulation programs(e.g. Nastran, Fluent...)
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L23- Fast Time Domain simulation via decomposition Prof olivier de Weck imulation of lti systems LTI systems are very common in engineering applications and simulating them is of great importance small dynamic urge dynamic
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第一节 水力机械的定义 第二节 水力机械在国民经济中的应用 电力工业 水利工程 化学工业 石油工业 采矿工业 航天技术 环保部门 第三节 水力机械的主要性能参数 第四节 水力机械的结构形式 第五节 水力机械理论与设计方法的现状与发展
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Outline Path Planning in Partially Known Environments. Finding the Shortest Path to the Goal. Alternative Approaches to Path Planning in Partially Known Environments. Continuous Optimal Path Planning
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Probabilistic roadmaps Planning in the real world Planning amidst moving obstacles RRT-based planners Conclusions Applicability of Lazy PRM to Spheres
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Foundations of State Estimation PartⅡ Topics: Hidden Markov Models Particle Filters Additional reading: L. R. Rabiner, \ tutorial on hidden Markoy models,\ Proceedings of the IEEE, vol. 77,. 257-286, 1989 Radford M. Neal, 1993. Probabilistic Inference Using Markov Chain Monte
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Temporal Planning in Space Brian C. Williams 16.412J/6.834J based on \Handling Time: February 23rd, 2004 Constraint-based Interval Planning,\ by David E. Smith Outline Operational Planning for the Mars Exploration Rovers
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