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Graph optimization method for DGA optimization process

An optimization method and a technology for optimizing the process, applied in special data processing applications, other database retrieval, other database indexes, etc., can solve problems such as system crashes, affecting work efficiency, and inability to optimize graphics and pictures, so as to achieve optimized processing and improve work efficiency Effect

Pending Publication Date: 2019-09-27
STATE GRID TIANJIN ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Graphics and pictures are important carriers of network information. Larger graphics not only occupy storage space, but are also not conducive to network transmission.
Due to the consideration of information security, many companies often use older versions of information exchange tools, which cannot optimize graphics and pictures in a timely and effective manner. Transfer a large number of pictures, the system crashes, affecting work efficiency

Method used

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  • Graph optimization method for DGA optimization process
  • Graph optimization method for DGA optimization process
  • Graph optimization method for DGA optimization process

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Embodiment Construction

[0036] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0037] A graph optimization method of a DGA optimization process, comprising the following steps:

[0038] Step 1. Set the DGA to be empty, and construct the leaf node of the quaternary formula;

[0039] The concrete method of described step 1 is:

[0040] If NODE(B) is not defined, construct a leaf node labeled B and define NODE(B) as this node:

[0041] (1) If the current quaternary formula is type 0, then record the value of NODE (B) as n, and go to step 4;

[0042] (2) If the current quaternary formula is type 1, then proceed to step (1) of step 2;

[0043] (3) If the current quaternion is type 2, then: if NODE(C) is not defined, then construct a leaf node marked C and define NODE(C) as this node and go to step 2 ( 3) step.

[0044] Step 2, processing quaternary formulas of type 1 and type 2, and the leaf nodes are constants;

[0045] The...

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Abstract

The invention relates to a graph optimization method for a DGA optimization process, and the method is technically characterized in that the method comprises the following steps: step 1, setting a DGA as emptiness, and constructing a four-element leaf node; step 2, processing the 1-type quaternion and the 2-type quaternion with leaf nodes as constants; step 3, processing the 1-type quaternion and 2-type quaternion with a non-constant leaf node; step 4, processing the additional mark; and step 5, carrying out conversion processing on the next quaternion. According to the method, before the DAG algorithm, whether the DAG optimization condition is met or not can be judged. After the DAG algorithm is finished, a variable which does not need to be used by the next basic block can be displayed. Through the optimization of the invention, the picture graphic data can be optimized in time, and the working efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of graph optimization, and relates to a graph optimization method, in particular to a graph optimization method in a DGA optimization process. Background technique [0002] In today's era, the Internet, as the main way to disseminate information, has already enriched our work and life. Graphics and pictures are important carriers of network information. Larger graphics not only take up storage space, but are also not conducive to network transmission. Due to the consideration of information security, many companies often use older versions of information exchange tools, which cannot optimize graphics and pictures in a timely and effective manner. Transfer a large number of pictures, the system crashes, affecting work efficiency. Contents of the invention [0003] The present invention solves its practical problems and is realized by taking the following technical solutions: [0004] A graph optimization...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/901
CPCG06F16/9024
Inventor 陆炜灏张玉熊光普薛鹏翔彭志超刘瑜
Owner STATE GRID TIANJIN ELECTRIC POWER