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2024年12月31日 · 数据流图（dfg）是一种表示程序控制流和数据流的图形结构，能够更好地捕捉程序中的并行性和数据依赖性。在该文中，dfg被用于分析和优化代码，以寻求最佳的simd指令应用策略。通过这种方法，编译器可以更全面地理解...

All control edges together form a graph called the Control Flow Graph (CFG). All data edges together form a graph called the Data Flow Graph (DFG). Neither control edges nor data edges are a complete representation of a C (or assembly) program. In particular, you need both to fully capture the meaning of the C (or assembly) program.

dfg是和sfg对着说的，侧重强调新频率的产生。 DFG的过程中还伴随着信号光，或新产生的闲频光的放大。 所以OPA是侧重强调DFG时的耦合波能量转移，包含在DFG过程里。

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DFG是三个保守残基的缩写，其中D参与活化状态Mg离子的结合，F也参与活化态R-spine的形成。DFG in跟out也是区分激酶active、inactive构象的重要依据(详见下文)。 DFG也是activation loop的起始，activation loop是一段较长的loop，柔性很大，参与激酶与底物蛋白的结合。

DFG－in构象是指当激酶被上游激活后，天冬氨酸向内旋转，暴露出ATP结合位点，允许ATP的结合进而激活激酶，一般又称DFG－in活性构象。 很多上市的抗肿瘤的激酶抑制剂药物设计成ATP竞争性抑制剂，和ATP竞争性的占据激酶的活性构象，阻止ATP进一步磷酸化该激酶，抑制该激酶的活性，进而起到抗肿瘤的活性作用（例如依鲁替尼的作用模式）。 转发请注明出处，谢谢。

本文致力于对Cook-Torrance Specular BRDF公式中DFG函数详细解析和介绍。 关于PBR基础理论和推导可看： 法线分布函数(Normal Distribution Function，NDF) 定义. 在上一篇中介绍了PBR理论基础 微表面理论 并完成Cook-Torrance Specular BRDF的推导，关于微表面理论就不再赘述。

It is called "generalized inverse". In that case $fg$ and $gf$ are idempotents. In particular, if you have a semigroup of maps $X\to X$ (i.e. a set of maps closed under composition) such that every $f$ has a generalized inverse, the semigroup is called regular. If the generalized inverse is unique, the semigroup is called inverse. See Clifford ...