zlibyou can found an optimized version of Zlib 1.1.4 that you can embed into every Delphi executable without use external dlls. Further I have build a little example hoping to aid "young" Delphi programmers getting in trouble with streams... Please let me know if you ll discover errors. These objects and sources are targeted for executing into P6+ CPU core, and Delphi5-6-7-x software. Benchmarks show this zlib 40％ average faster than native DLL distribution and 100％ reliable.
標(biāo)簽： executable can optimized zlibyou
上傳時(shí)間： 2016-12-19
上傳用戶：lili123
Quartz is a full-featured, open source job scheduling system that can be integrated with, or used along side virtually any J2EE or J2SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to create simple or complex schedules for executing tens, hundreds, or even tens-of-thousands of jobs jobs whose tasks are defined as standard Java components or EJBs. The Quartz Scheduler includes many enterprise-class features, such as JTA transactions and clustering.
標(biāo)簽： full-featured integrated scheduling Quartz
上傳時(shí)間： 2014-01-07
上傳用戶：龍飛艇
With this example-driven book, you get a quick, practical, and thorough introduction to Java s API for XML Web Services (JAX-WS) and the Java API for RESTful Web Services (JAX-RS). Java Web Services: Up and Running takes a clear, no-nonsense approach to these technologies by providing you with a mix of architectural overview, complete working code examples, and short yet precise instructions for compiling, deploying, and executing a sample application. You ll not only learn how to write web services from scratch, but also how to integrate existing services into your Java applications. All the source code for the examples is available from the book s companion website.
標(biāo)簽： example-driven introduction practical thorough
上傳時(shí)間： 2013-12-18
上傳用戶：lnnn30
This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
標(biāo)簽： Polynomial developed quadprog support
上傳時(shí)間： 2014-01-04
上傳用戶：ddddddos
Quartz is a full-featured, open source job scheduling system that can be integrated with, or used along side virtually any J2EE or J2SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to create simple or complex schedules for executing tens, hundreds, or even tens-of-thousands of jobs jobs whose tasks are defined as standard Java components or EJBs. The Quartz Scheduler includes many enterprise-class features, such as JTA transactions and clustering. Quartz is freely usable, licensed under the Apache 2.0 license.
標(biāo)簽： full-featured integrated scheduling Quartz
上傳時(shí)間： 2017-08-07
上傳用戶：來茴
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
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