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一、了解多媒体数据压缩编码的重要性和分类 二、掌握图像数据压缩编码常用算法的基本原理 三、了解常用图形、图像文件的基本格式及特点 四、理解静态图像压缩标准JPEG的工作原理和实现技术 五、了解图像信息获取的基本原理和方法 六、掌握用 Photoshop处理图像的基本方法
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一、熟悉多媒体计算机系统的组成 二、掌握声卡和显卡的功能和基本原理 三、掌握几种光存储器的存储原理、技术指标和数据格式 四、熟悉几种常用外部设备的工作原理、功能和特点
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软件工程是过去十年中人们普遍关注的焦点。软件过程与软件工程不完全同义。 2.1 Software Engineering-A Layered Technology 软件工程定义 (1)是为了经济地获得可靠的和能在实际机器上高效运行的软件而建立和使用的好的工程原则。这是 Fritz Bauer在NATO会议上给出的定义
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Restriction enzymes are used for cutting DNA at precise locations Vectors are used for the propagation of cloned DNA fragments Libraries of cloned DNA fragments allow searching for a specific DNA fragment
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Alternatives to Weighted Sum(WS)Approach Multiobjective Heuristic Programming Utility Function Optimization Physical Programming(Prof. Messac) Application to Space System Optimization Lab Preview(Friday 4-9-2003-Section 1) Massachusetts Institute of Technology-prof. de Weck and Prof. Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics
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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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Why multiobjective optimization? Example-twin peaks optimization History of multiobjective optimization Weighted Sum Approach(Convex Combination) Dominance and Pareto-Optimality Pareto Front Computation -nBl o Massachusetts Institute of Technology-Prof de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics
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Mlesd Particle Swarm Optimization 5. 9 A pseudo-optimization method (heuristic) inspired by the collective intelligence of swarms of biological populations Flocks of birds Colonies of insects C Rania Hassan 3/2004 Engineering Systems Division -Massachusetts Institute of Technology
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More on Fitness Function Assignment Mutation Constraint implementation in Gas Multiobjective optimization with Gas Tabu search Selection of Optimization algorithms o Massachusetts Institute of Technology -Prof de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics
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Course rationale Role of msdo in Engineering Systems Learning objectives Pedagogy and Course Administration a historical perspective on Mdo MSDO Framework introduction The“ dairy farm” sample problem Massachusetts Institute of Technology- Prof de Weck and Prof Willcox
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