Complex Optimization Problem..............................................1591 xxvii 49.2. Genetic Algorithms .............................................................................................. table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph search_graph sg WHERE g.id = sg.link ) SELECT * FROM search_graph; This query will loop if the link relationships contain cycles. Because we require a “depth” output, just changing UNION ALL to UNION would

Query Handling as a Complex Optimization Problem .............................. 2333 60.2. Genetic Algorithms ........................................................................... 2333 60.3. Genetic ......................................................................... 2685 F.16. Supported Algorithms for crypt() ................................................................... 2687 F.17. Iteration initially assigned data type of a numeric constant is just a starting point for the type resolution algorithms. In most cases the constant will be automatically coerced to the most appropriate type de- pending

Handling as a Complex Optimization Problem.......................................1491 49.2. Genetic Algorithms ............................................................................................1491 initially assigned data type of a numeric constant is just a starting point for the type resolution algorithms. In most cases the constant will be automatically coerced to the most appropriate type de- pending table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph

Handling as a Complex Optimization Problem ................................... 2466 60.2. Genetic Algorithms ................................................................................ 2466 60.3. Genetic ......................................................................... 2834 F.16. Supported Algorithms for crypt() ......................................................................... 2836 F.17 following query that searches a table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 0 FROM graph g UNION ALL SELECT g.id, g.link

Handling as a Complex Optimization Problem.......................................2062 57.2. Genetic Algorithms ............................................................................................2062 initially assigned data type of a numeric constant is just a starting point for the type resolution algorithms. In most cases the constant will be automatically coerced to the most appropriate type de- pending table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph

a Complex Optimization Problem..............................................1681 50.2. Genetic Algorithms .............................................................................................. table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph search_graph sg WHERE g.id = sg.link ) SELECT * FROM search_graph; This query will loop if the link relationships contain cycles. Because we require a “depth” output, just changing UNION ALL to UNION would

a Complex Optimization Problem..............................................1995 53.2. Genetic Algorithms .............................................................................................. following query that searches a table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g 110 Chapter 7. Queries UNION ALL ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph sg WHERE g.id = sg.link ) SELECT * FROM search_graph; This query will loop if the link relationships contain cycles. Because we require

a Complex Optimization Problem..............................................2188 57.2. Genetic Algorithms .............................................................................................. table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph search_graph sg WHERE g.id = sg.link ) SELECT * FROM search_graph; This query will loop if the link relationships contain cycles. Because we require a “depth” output, just changing UNION ALL to UNION would

Handling as a Complex Optimization Problem.......................................1575 50.2. Genetic Algorithms ............................................................................................1575 initially assigned data type of a numeric constant is just a starting point for the type resolution algorithms. In most cases the constant will be automatically coerced to the most appropriate type de- pending table graph using a link field: WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph

Query Handling as a Complex Optimization Problem .............................. 2083 59.2. Genetic Algorithms ........................................................................... 2083 59.3. Genetic ......................................................................... 2429 F.17. Supported Algorithms for crypt() ................................................................... 2431 F.18. Iteration initially assigned data type of a numeric constant is just a starting point for the type resolution algorithms. In most cases the constant will be automatically coerced to the most appropriate type de- pending