scholarly journals Introducing two complementary novel algebraic operations: Matrix-separation and Matrices-joining for programming evaluation and development

2020 ◽  
Vol 11 (2) ◽  
pp. 351-362
Author(s):  
Assem Badr
Keyword(s):  
Matrix Separation ◽  
Algebraic Operations

Closed Sets of Boolean Terms in Relational Databases

1991 ◽  
Vol 14 (3) ◽  
pp. 367-385
Author(s):  
Andrzej Jankowski ◽  
Zbigniew Michalewicz
Keyword(s):  
Computational Complexity ◽  
Incomplete Information ◽  
Relational Databases ◽  
The Other ◽  
New Approach ◽  
Closed Sets ◽  
Null Value ◽  
Algebraic Operations

A number of approaches have been taken to represent compound, structured values in relational databases. We review a few such approaches and discuss a new approach, in which every set is represented as a Boolean term. We show that this approach generalizes the other approaches, leading to more flexible representation. Boolean term representation seems to be appropriate in handling incomplete information: this approach generalizes some other approaches (e.g. null value mark, null variables, etc). We consider definitions of algebraic operations on such sets, like join, union, selection, etc. Moreover, we introduce a measure of computational complexity of these operations.

An improved matrix separation method for characterization of ultrapure germanium (8N)

Talanta ◽  
2016 ◽  
Vol 159 ◽  
pp. 14-22 ◽  
Author(s):  
M.A. Reddy ◽  
R. Shekhar ◽  
Sunil Jai Kumar
Keyword(s):  
Separation Method ◽  
Matrix Separation
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