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Autor(en): 
  • Bill Scott
  • Maple® for Environmental Sciences: a Helping Hand 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  April 2001  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Application software / Applied mathematics / C / Computer and Information Systems Applications / Computer Applications / Computer software / Earth and Environmental Science / Energy industries & utilities / Environment / Environment, general / Environmental Science and Engineering / Environmental Sciences / Information technology# general issues / Math. Appl. in Environmental Science / Mathematical & statistical software / Mathematical Applications in Environmental Science / Mathematical Software / Pollution / The environment / Water pollution / Water supply & treatment
    ISBN:  9783540658269 
    EAN-Code: 
    9783540658269 
    Verlag:  Springer Berlin Heidelberg 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 242 mm / B 193 mm / D 23 mm 
    Gewicht:  819 gr 
    Seiten:  424 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    What is this book about? Please take this book as it is, a working docu­ ment. It started as an idea that has grown. It will never be correct but should be self-correcting. In the limit, if there is one, the book should approach a 'correct' state. It is not the detail, and the numbers, that matter, but the structures and the order. These structures are inherently linked with the many minds that have made Maple, the minds of perhaps the best mathematicians, certainly some of the most useful. Our environment is not separate from mathematics; mathematics is but one tool, of several, to help with understanding the environment. It is a harsh tool that requires numbers and symbolism; Maple handles the symbolism superbly; numbers need more consideration. We have included a substantial amount on reading and writing numbers, data, and dealing with floating point numbers. It is the 'devil in the detail' that continually comes back to us in working with Mathematics and Maple. It becomes 'raw' and defined. Many of the things we do have rational and logical bases, but we don't know what they are. Often, in following the code and 'talking' with an input line to Maple, the detailed way of performing a task becomes clear. But not without frustration; the task is invariably simple, though.

      



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