Computational models are commonly used in engineering design and scientific discovery activities for simulating
complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear
structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who
want to develop an understanding and/or predictive capability for complex behaviors typically observed in the
corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system
parameters, such as size or location dimensions and material properties, are adjusted to improve the performance
of a system, as defined by one or more system performance objectives. Such optimization or tuning of the
virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system
parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for
example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or
to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often
like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These
approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling
methods are often used in uncertainty quantification to calculate a distribution on system performance measures,
and to understand which uncertain inputs contribute most to the variance of the outputs.
A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic
and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased
models. These capabilities generally lead to improved designs and system performance in earlier design
stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product
development costs. In addition to providing this practical environment for answering system performance questions,
the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized
methods and meta-algorithms
標簽：
Optimization and Uncertainty Quantification
上傳時間：
2016-04-08
上傳用戶：huhu123456
VIP專區-嵌入式/單片機編程源碼精選合集系列（123）資源包含以下內容：1. 研華數據采集卡c++ console程序多通道采集數據的例子.2. 基于AT89C51的電子秤方案,原理圖,程序.3. FAT32 study report,it s discrips the FAT332 stard , FAT32 學習筆記.4. 基于arm的嵌入式書籍.5. 三菱FX系列PLC密碼解密軟件.不需注冊..6. This guide reviews the rules and syntax of the principle commands that comprise C and its object-ori.7. 紅外遙控大全.8. ADI公司DDS芯片AD9830應用資料.9. ADI公司DDS芯片AD9832應用資料.10. ADI公司DDS芯片AD9833應用資料.11. ADI公司DDS芯片AD9834應用資料.12. PXA27x Processor Family Optimization Guide.13. ti的c2000的spi。有用的著的時候。可以在程序中測試spi口.14. *名稱：LCD12864顯示程序 功能：顯示英文.15. 89c51與ds1302代碼顯示時間的源程序.16. 51實驗板的原理圖！可以作為簡單的起步參考.17. 由于找不到安裝 紅旗需要的文件.18. W3100是WIZnet公司專門為以太網互聯和嵌入式設備推出的硬件TCP／IP協議棧芯片.19. 基于狀態轉換法設計的電機正反轉、調速PLC源程序.20. s3c4510b的源代碼以及并口JTAG下載調試程序.21. 介紹了實時嵌入式系統的相關內容,對于研究嵌入式很用用..22. 射頻讀寫模塊是采用最新Mifare技術的微型嵌入式非接觸式IC卡讀寫模塊。內嵌ISO14443 Type A協議解釋器,并具有射頻驅動及接收功能,可以簡單實現對MifareOne等卡片的讀寫操作,讀寫.23. AT91SAM7S64開發板的ADS范例for ATMEL S64-EKAT91SAM7S64-BasicMouseUSB.24. ds18b20的一個完整程序.25. 我的一個交通燈的課程設計.26. mcuzone的AT91RM9200EK底板原理圖Rev2.0.27. 有關I2C設計的資料. 有關I2C設計的資料..28. cmos的教程.29. This designs demonstrates how to use the Ethernet port using a Nios II system on the DE2 board. It s.30. 低頻數字式相位測量儀.31. 使用C C++ 開發嵌入系統
詳細實例 很實用.32. 270開發板串口擴展測試程序,arm9 工控板測試.33. 利用PCB上的走線實現高頻低通濾波器的設計.34. LPC２１３１ 對大家和有幫助的.35. 這是一個AVR單片機的紅外遙控程序.36. 嵌入式實時操作系統psos的系統調用手冊.37. 題目1：DSB調制與解調電路的MATLAB實現及調制性能分析
題目2：SSB調制與解調電路的MATLAB實現及調制性能分析
題目3：AM調制與解調電路的MATLAB實現及調
題目5：PM調制與解.38. 該PDF文檔是CPLD/FPGA的入門教程。里面敘述了PLD的基本結構.39. 51單片機+max7219驅動實例
8位LED同時循環顯示1-9.40. 嵌入式系統中U-Boot基本特點及其移植方法.
標簽：
紅外線
波形
測系統
編碼
上傳時間：
2013-07-21
上傳用戶：eeworm
