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Reviews in Computational Chemistry V19: Reviews in Computational Chemistry

Autor KB Lipkowitz
en Limba Engleză Hardback – 6 oct 2003
The Reviews in Computational Chemistry series brings together leading authorities in the field. The chapters in this book series are written to teach the newcomer and update the expert. Topics include computational chemistry, molecular modeling, computer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR).
  • Detailed author and subject indices on each volume help the reader to quickly discover particular topics.
  • The chapters are approached in a tutorial manner and written in a non-mathematical style allowing students and researchers to access computational methods outside their immediate area of expertise.
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Specificații

ISBN-13: 9780471235859
ISBN-10: 0471235857
Pagini: 424
Dimensiuni: 167 x 245 x 29 mm
Greutate: 0.77 kg
Ediția:Volume 19
Editura: Wiley
Seria Reviews in Computational Chemistry

Locul publicării:Hoboken, United States

Public țintă

Computational, Theoretical, Pharmaceutical, Biological, Organometallic, Synthetic Organic and Polymer Chemists, Chemical Engineers, and Chemistry Graduate Students

Cuprins


Notă biografică

Kenny B. Lipkowitz, PhD, is a retired Professor of Chemistry from North Dakota State University.

Raima Larter is Professors of Chemistry at Indiana University - Purdue University at Indianapolis.

Thomas R. Cundari is Professor of Chemistry at the University of Memphis.

Donald B. Boyd was apponted Research Professor of Chemistry at Indiana University - Purdue University Indianapolis in 1994. He has published over 100 refereed journal papers and book chapters.


Descriere

A series that brings together leading authorities in the field to present chapters to teach the newcomer and update the expert. Topics include computational chemistry, molecular modeling, computer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR).