11《老罗Android开发视频教程》第十一集：ToggleButton按钮的使用。本教程为MP4格式，分享给大家，希望共同学习进步。
上传时间： 2015-11-19
上传用户：zxj1612
23《老罗Android开发视频教程》第二十三集：HorizontalScrollView水平滚动控件的使用.rar。本教程为MP4格式，分享给大家，希望共同学习进步
上传时间： 2015-11-19
上传用户：zxj1612
shrinkedAndroid.jar 包，android开发使用
标签： shrinkedAndroid
上传时间： 2015-12-07
上传用户：xiali2019
通过Post方式向web端提交客户端数据
标签： Android
上传时间： 2015-12-08
上传用户：ztdm
基于安卓编程的游戏源码，个人编写的简易数独，可实现开局生成，游戏胜利判定。
上传时间： 2015-12-21
上传用户：xunmixiang
Android通过按钮在提示栏相应提示推送
上传时间： 2015-12-22
上传用户：TT46WW
Android中3g模块通讯，Android适配模块的中间层ril代码
标签： 3g ril code
上传时间： 2016-02-20
上传用户：cccaichao
Description The STM3210E-EVAL evaluation board is a complete development platform for STMicroelectronic's ARM Cortex-M3 core-based STM32F103ZET6 or STM32F103ZGT6 microcontroller. The range of hardware features on the board help you to evaluate all peripherals (LCD, SPI Flash, USART, IrDA, USB, audio, CAN bus, smartcard, MicroSD Card, NOR Flash, NAND Flash, SRAM, temperature sensor, audio DAC and motor control) and develop your own applications.
标签： stm3210e_eval
上传时间： 2016-03-27
上传用户：guozhenhui1st
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
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
使用Android通过蓝牙来遥控基于单片机小车
上传时间： 2016-05-01
上传用户：luhui1hao
