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picture1_Computer Science Thesis Pdf 196049 | Inve Mem 2008 60106


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File: Computer Science Thesis Pdf 196049 | Inve Mem 2008 60106
An Improved Continuation Call-Based Implementation of Tabling Pablo Chico de Guzman , Manuel Carre , Manuel V. Ilermenegildo , CI audio Silva , and Ricardo Rocha.- School of Computer Science, Univ. Politeenica de ...

icon picture PDF Filetype PDF | Posted on 07 Feb 2023 | 2 years ago

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...An improved continuation call based implementation of tabling pablo chico de guzman manuel carre v ilermenegildo ci audio silva and ricardo rocha school computer science univ politeenica madrid spain depts comp electr eng new mexico usa dcc fc liacc university porto portugal abstract tabled evaluation has been proved effective method to improve several aspects goal oriented query including ter mination complexity native implementations have developed which offer good performance but many them require significant changes the underlying prolog implementa tion compiler machine approaches on program transformation tend mim mize both also proposed they often result in lower efficiency we explore some techniques aimed at combining best these worlds i e developing extensible im plementation requires minimal modifications with reasonably our pre liminary experiments indicate promising results keywords logic programming introduction is a resolution strategy tries memoizc previous calls their an...
								

							

						
	
												
				
					
					
					
			
					
				
				
		
	

	
		





	

	
				

						

						
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										Category:  Uncategorized / Uncategorized 
										
Posted on: 07 Feb 2023 | 2 years ago
										
										
Tag:
																																		download pdf,
																								inve,
																								2008,
																								60106,
											                                        
																				
Filetype: PDF
										
File size: 0.69 MB
										
Views: 58x
										
Link recommended: filekonstruksi.com
										
										
										
										

										
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												Wan learn