The Linux GPIB Package is a support package for GPIB (IEEE 488) hardware. The package contains kernel driver modules, and a C user-space library with Guile, Perl, PHP, Python and TCL bindings. The API of the C library is intended to be compatible with National Instrument s GPIB library. The Linux GPIB Package is licensed under the GNU General Public License . Requirements: Linux kernel version 2.4.x (use Linux-GPIB version 3.1.x). earlier kernel versions are not supported.
標(biāo)簽： package GPIB The contains
上傳時(shí)間： 2016-12-17
上傳用戶：cccole0605
If you want to use the Struts Framework to its fullest potential, this is the book for you. Programming Jakarta Struts, 2nd Edition covers everything the successful earlier edition did as well as plenty more: now fully up to date with Struts 1.1, this edition covers the latest material on tag libraries and the new JavaServerFaces (JSF) APIs and even includes all-new chapters on JSF, JSTL/EL, and security.
標(biāo)簽： Framework you the potential
上傳時(shí)間： 2017-08-17
上傳用戶：yan2267246
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(biāo)簽： Optimization and Uncertainty Quantification
上傳時(shí)間： 2016-04-08
上傳用戶：huhu123456
This manual documents the Microcontroller profile of version 7 of the ARM? Architecture, the ARMv7-M architecture profile. For short definitions of all the ARMv7 profiles see About the ARMv7 architecture, and architecture profiles on page A1-20.ARMv7 is documented as a set of architecture profiles. The profiles are defined as follows: ARMv7-A The application profile for systems supporting the ARM and Thumb instruction sets, and requiring virtual address support in the memory management model. ARMv7-R The realtime profile for systems supporting the ARM and Thumb instruction sets, and requiring physical address only support in the memory management model ARMv7-M The microcontroller profile for systems supporting only the Thumb instruction set, and where overall size and deterministic operation for an implementation are more important than absolute performance. While profiles were formally introduced with the ARMv7 development, the A-profile and R-profile have implicitly existed in earlier versions, associated with the Virtual Memory System Architecture (VMSA) and Protected Memory System Architecture (PMSA) respectively.
標(biāo)簽： arm
上傳時(shí)間： 2022-06-02
上傳用戶：
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