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2. Design structure matrix - Wikipedia

   en.wikipedia.org/wiki/Design_structure_matrix

   A sample DSM with 7 elements and 11 dependency marks. The design structure matrix (DSM; also referred to as dependency structure matrix, dependency structure method, dependency source matrix, problem solving matrix (PSM), incidence matrix, N 2 matrix, interaction matrix, dependency map or design precedence matrix) is a simple, compact and visual representation of a system or project in the ...

3. N2 chart - Wikipedia

   en.wikipedia.org/wiki/N2_Chart

   The N 2 chart or N 2 diagram (pronounced "en-two" or "en-squared") is a chart or diagram in the shape of a matrix, representing functional or physical interfaces between system elements. It is used to systematically identify, define, tabulate, design, and analyze functional and physical interfaces.

4. File:Matrix multiplication diagram 2.svg - Wikipedia

   en.wikipedia.org/wiki/File:Matrix_multiplication...

   Schematic depiction of the matrix product AB of two matrices A and B. Date: 4 October 2010 (original upload date) Source: This file was derived from: Matrix multiplication diagram.svg: Author: File:Matrix multiplication diagram.svg:User:Bilou; See below.

5. Wikipedia : Graphics Lab/Resources/Draw topological maps

   en.wikipedia.org/wiki/Wikipedia:Graphics_Lab/...

   Download any suitable icons from Wikipedia's Route diagram templates such as the ones at Wikipedia:Route diagram template/Catalog of pictograms/others, or Wikimedia Commons. In Inkscape, click on File-> Import (CTRL+I) and select the downloaded files. Resize the icons 24. Resize the icons

6. Growth–share matrix - Wikipedia

   en.wikipedia.org/wiki/Growth–share_matrix

   The growth–share matrix [2] (also known as the product portfolio matrix, [3] Boston Box, BCG-matrix, Boston matrix, Boston Consulting Group portfolio analysis and portfolio diagram) is a matrix used to help corporations to analyze their business units, that is, their product lines.

7. Design matrix - Wikipedia

   en.wikipedia.org/wiki/Design_matrix

   The design matrix has dimension n-by-p, where n is the number of samples observed, and p is the number of variables measured in all samples. [4] [5]In this representation different rows typically represent different repetitions of an experiment, while columns represent different types of data (say, the results from particular probes).