Matrices And Its Application To Science And Technology

This study was carried out to assess matrices and its application to science and technology. Scientific and other non-patent references (NPRs) in patents are important tools to analyze interactions between science and technology. This study organizes a empirical literature review with 514,894 USPTO patents granted globally in 1974, 1982, 1990, 1998 and 2016. There are 165,762 patents with at least one reference to science and engineering (S&E) literature, from a total of 1,375,503 references. Through a lexical analysis, 71.1% of this S&E literature is classified by S&E fields. These data serve as the basis for the elaboration of global and national 3-dimensional matrices (technological domains, S&E fields and number of references). Three indicators are proposed to analyze these matrices, allowing us to identify patterns of structured growth that differentiate developed and non-developed countries. This differentiation informs suggestions for public policies for development, emphasizing the need for an articulation between the industrial and technological dimension and scientific side. The intertwinement of these two dimensions is a key component of developmental policies for the twenty-first century.

The main objective of this work is to assess matrices and its application to science and technology. The following are the specific objectives;

1. To apply matrices to science and technology and system of Linear Equations
2. To improve the methods at which increase in production out-put can be achieved
3. To show ways at which sensitive information can be passed across mathematically.
4. To disseminate this improved methods to the relevant communities and end use

• Mathematics / Statistics Project Topics and Materials