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We consider two modified versions of the methods which are suitable for solving stable systems.
The methods which have been adapted for the purpose of architectural design are the Inventive Principles.
Most of the methods which are used for the analysis and design of systems with parametric uncertainty require extensive computations.
Additionally, the methods, which will be used for data processing, are briefly mentioned and target physics is discussed.
However, one limiting feature of the methods which have been developed is that the representation is limited to rectangular buildings.
However, the methods which are based on the sequence of proteins as a prior knowledge are more universal.
We find sufficient conditions on the coefficients matrices of the methods which ensure G-symplecticity and control parasitism.
One of the methods which support it is using graph grammars as a tool for representing the design process.
Generally, the methods which enable the measurement of a given substance concentration in a material are slow and destructive.
Some shortcomings of the methods, which are due to the splitting in projection schemes, become also obvious.
From the perspectives of agro biotechnology, the methods which enable the introduction of genetic material to be integrated into plant genome called Plant Genetic Modified Technology PGMTT).
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