Theoretical Approaches Non Numerical Problem (15 results)

Soft cover. Condition: Good. No Jacket. First. 466pp. W/full markings, pocket, and/or bookplate. Wear, soil. Weight is 2.25 lb. Ex-Library Size: 8vo. Book.

Trade Paperback. Condition: Good. From the series" Lecture notes in Operational Research and Mathematical Systems" includes charts, graphs, etc. Professional book dealer since 1975. All orders are processed promptly and packaged with the utmost care. Satisfaction guaranteed.

Condition: good. Berlin : Springer-Verlag, 1970. Paperback. vi, 466 p. illus. 26 cm. (Lecture notes in operations research and mathematical systems, 28). Library stamps. Condition : good copy. ISBN 9783540049005. Keywords : MATHEMATICS,

Condition: New. In.

Condition: New. pp. 480.

Taschenbuch. Condition: Neu. Theoretical Approaches to Non-Numerical Problem Solving | Proceedings of the IV Systems Symposium at Case Western Reserve University | R. B. Banerji (u. a.) | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | vi | Englisch | Springer | EAN 9783540049005 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: Brand New. 480 pages. 10.00x7.01x1.09 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in computer technology have pointed out the next important area of computer applications: solution of non-numerical problems. It is hardly necessary to emphasize the importance of these kind of problems. First of all most of the decisions one has to make in real-life situations are non-numerical in the first instance and can be represented as numerical problems only as approximations which are often only partially valid. Second, to use the computer to its full potential it should be employed as a logical machine, capable of deduction, and not just as a numerical calculating machine. Thus the computer would extend man's capability for logical reasoning and not just for his capability to do fast and accurate calculation. It is not a new area; indeed non-numerical problems are central in fields such as artificial intelligence, heuristic programming, pattern recognition, classification and information-processing (and retrival) etc. However, it is fair to assess that progress in the area has not been quite as expected. One of the reasons was a lack of conceptual and theoretical framework in which to investigate different classes of non-numerical problems to improve understanding of various types of problems and methods for their solutions and furthermore to enable the methods which have been proven as effective in one situation to be used in another situation with appropriately similar structure.

Brossura. Lecture notes in Operations research and Mathematical systems 28 Numero di tavole: pp.466 altezza 0 larghezza 0 Esemplare in buone condizioni. Testo in inglese. Copertina con macchie di polvere, piccole scoloriture e segni di usura ai bordi. Tagli ingialliti con tracce di polvere. Pagine ingiallite.Book in good conditions. Text in English. Cover with dust stains, discoloured spots and signs of use on the edges. Yellowed edges with traces of dust. Yellowed pages.

Condition: Normal. Springer-Verlag. Germany, 1970 25,5 x 17,5 cm., 466 pag. Tapa blanda;buen estado de conservacion. MATEMATICAS . Ejemplares disponibles: 1 Normal.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advances in computer technology have pointed out the next important area of computer applications: solution of non-numerical problems. It is hardly necessary to emphasize the importance of these kind of problems. First of all most of the decisions one has to make in real-life situations are non-numerical in the first instance and can be represented as numerical problems only as approximations which are often only partially valid. Second, to use the computer to its full potential it should be employed as a logical machine, capable of deduction, and not just as a numerical calculating machine. Thus the computer would extend man's capability for logical reasoning and not just for his capability to do fast and accurate calculation. It is not a new area; indeed non-numerical problems are central in fields such as artificial intelligence, heuristic programming, pattern recognition, classification and information-processing (and retrival) etc. However, it is fair to assess that progress in the area has not been quite as expected. One of the reasons was a lack of conceptual and theoretical framework in which to investigate different classes of non-numerical problems to improve understanding of various types of problems and methods for their solutions and furthermore to enable the methods which have been proven as effective in one situation to be used in another situation with appropriately similar structure. 480 pp. Englisch.

Condition: New. Print on Demand pp. 480 77 Figures, 66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Advances in computer technology have pointed out the next important area of computer applications: solution of non-numerical problems. It is hardly necessary to emphasize the importance of these kind of problems. First of all most of the decisions one has t.

Condition: New. PRINT ON DEMAND pp. 480.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advances in computer technology have pointed out the next important area of computer applications: solution of non-numerical problems. It is hardly necessary to emphasize the importance of these kind of problems. First of all most of the decisions one has to make in real-life situations are non-numerical in the first instance and can be represented as numerical problems only as approximations which are often only partially valid. Second, to use the computer to its full potential it should be employed as a logical machine, capable of deduction, and not just as a numerical calculating machine. Thus the computer would extend man's capability for logical reasoning and not just for his capability to do fast and accurate calculation. It is not a new area; indeed non-numerical problems are central in fields such as artificial intelligence, heuristic programming, pattern recognition, classification and information-processing (and retrival) etc. However, it is fair to assess that progress in the area has not been quite as expected. One of the reasons was a lack of conceptual and theoretical framework in which to investigate different classes of non-numerical problems to improve understanding of various types of problems and methods for their solutions and furthermore to enable the methods which have been proven as effective in one situation to be used in another situation with appropriately similar structure.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 480 pp. Englisch.