Description: 这是 美国航天局 NASA 关于 C语言 的 编程规范。忘了从哪里弄的，但赶紧共享给大家最要紧。
-This is the U.S. space agency NASA on the C programming language specification. Forgot where neighborhood, but hastened to share the most important thing for everyone. Platform: |
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Author:zhang ch |
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Description: clips最新版
CLIPS是一种专家系统工具，最初由NASA/Lyndon B. Johnson太空中心软件技术研究室开发出来。自1986年首次发布以来，CLIPS经历了不断的改进和完善。现在它已经被广泛的应用在数以万计的全球用户中。 CLIPS被开发出来以促进集成人类知识和经验的软件发展。 在CLIPS中，知识的表示有三种方式： l 规则，规则表示法是基于启发式经验知识库的首要选择。 l 自定义函数和通用函数，这种方式是程序式知识表示的首选。 l 面向对象设计，也是程序式知识表示的首选。面向对象的程序设计被支持的5个普遍接受的特征是：类，消息处理函数，抽象，封装，继承和多态性。模式匹配可以是对象和事实。 你可以仅用规则，或者仅用对象或者两者混合使用来开发软件。 CLIPS同时支持与其他语言的集成，如C和Java。事实上，CLIPS是C Language Integrated Production的缩写。规则能基于事实与对象的匹配，规则和对象同时组成了一个集成系统。除了被当作一个独立的工具之外，CLIPS还能被程序语言调用，运行其函数，然后返回给调用函数控制权。同样的，程序代码也能作为一个外部函数在CLIPS中被定义和调用。当外部代码执行完毕后，控制权返回到CLIPS
-CLIPS is an expert system tool, originally developed by the Software Technology Laboratory of the NASA/Lyndon B. Johnson Space Center. Since its first release in 1986, CLIPS has undergone continuous improvement and perfection. It is now widely used in tens of thousands of users worldwide. CLIPS was developed to facilitate the integration of human knowledge and experience in software development. In CLIPS, knowledge representation in three ways: l rules, rules, notation is the first choice of heuristic experience-based knowledge base. l-defined functions and general functions, this approach is the first choice of the procedural knowledge. l object-oriented design, is also the program of choice for knowledge representation. The five generally accepted features of object-oriented programming support: classes, message-handling functions, abstraction, encapsulation, inheritance and polymorphism. Pattern matching can be the objects and facts. You can only rule, or only to develop the softwar Platform: |
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Author:魏林 |
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Description: 约束变尺度法的Fortran源代码，基于Powell的原始算法，来自NASA-The algorithm is based upon a variable metric method presented by M.J.D. Powell and a quadratic programming method by R. Fletcher. VMACO is a non-linear program developed to calculate the least value of a function of n variables subject to general constraints (both equality and inequality). Platform: |
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Author:zxp |
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Description: This gridlib collection has arisen decades of application programming
at NASA Ames Research Center involving (mostly) structured grids in 2- and
3-space, including many utilities for generating grid point distributions
along a line or curve. Of these, curvature-based and (extremely precise)
Vinokur-type distributions are most valuable. See program DISTRIBUTE for
driving such utilities. Transfinite interpolation, elliptic smoothing, and
grid perturbations are also supported here.-This gridlib collection has arisen decades of application programming
at NASA Ames Research Center involving (mostly) structured grids in 2- and
3-space, including many utilities for generating grid point distributions
along a line or curve. Of these, curvature-based and (extremely precise)
Vinokur-type distributions are most valuable. See program DISTRIBUTE for
driving such utilities. Transfinite interpolation, elliptic smoothing, and
grid perturbations are also supported here. Platform: |
Size: 164864 |
Author:jyj |
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Description: This gridlib collection has arisen decades of application programming
at NASA Ames Research Center involving (mostly) structured grids in 2- and
3-space, including many utilities for generating grid point distributions
along a line or curve. Of these, curvature-based and (extremely precise)
Vinokur-type distributions are most valuable. See program DISTRIBUTE for
driving such utilities. Transfinite interpolation, elliptic smoothing, and
grid perturbations are also supported here.-This gridlib collection has arisen decades of application programming
at NASA Ames Research Center involving (mostly) structured grids in 2- and
3-space, including many utilities for generating grid point distributions
along a line or curve. Of these, curvature-based and (extremely precise)
Vinokur-type distributions are most valuable. See program DISTRIBUTE for
driving such utilities. Transfinite interpolation, elliptic smoothing, and
grid perturbations are also supported here. Platform: |
Size: 221184 |
Author:jyj |
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Description: 针对NASA锂电池数据集，使用MATLAB的M文件函数编程方式获取其中的容量数据。
压缩包中包含数据集和代码两部分。(For the NASA lithium battery data set, the capacity data are obtained by using the M file function programming method of MATLAB.The compressed package contains two parts: data set and code.) Platform: |
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Author:ckzhb |
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