Analyzing Mathematical Programs Using MProbe
Analyzing Mathematical Programs Using MProbe
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使用 MProbe 分析数学程序
DOI：
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发表时间：
2001
影响因子：
4.8
通讯作者：
J. Chinneck
中科院分区：
文献类型：
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作者：
J. Chinneck
正如现代通用编程语言（例如，C++、Java）由一套工具（调试器、分析器等）支持，数学编程语言需要支持工具。MProbe是一套支持数学编程语言（在本例中为AMPL）的工具的示例。MProbe包括用于经验估计多变量非线性函数的形状、非线性约束区域形状、目标形状对找到全局最优值的能力的影响的工具、用于估计约束的有效性和用于在模型中导航的工具等。
Just as modern general-purpose programming languages (e.g., C++, Java) are supported by a suite of tools (debuggers, profilers, etc.), mathematical programming languages need supporting tools. MProbe is an example of a suite of tools supporting a mathematical programming language, in this case AMPL. MProbe includes tools for empirically estimating the shape of nonlinear functions of many variables, nonlinearly-constrained region shape, the effect of the objective shape on the ability to find a global optimum, tools for estimating the effectiveness of constraints and for navigating through the model, among others.