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Recent Progress in Coupled Cluster Methods: Theory and Applications 2010 Edition
Contributor(s): Cársky, Petr (Editor), Paldus, Josef (Editor), Pittner, Jirí (Editor)
ISBN: 9400732759     ISBN-13: 9789400732759
Publisher: Springer
OUR PRICE:   $313.49  
Product Type: Paperback - Other Formats
Published: September 2012
Qty:
Additional Information
BISAC Categories:
- Science | Chemistry - Physical & Theoretical
Dewey: 541.2
Series: Challenges and Advances in Computational Chemistry and Physi
Physical Information: 1.36" H x 6.14" W x 9.21" (2.06 lbs) 657 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
I feel very honored that I have been asked to write a Foreword to this book. The subject of the book - "Coupled cluster theory" - has been around for about half a century. The basic theory and explicit equations for closed-shell ground states were formulated before 1970. At the beginning of the seventies the rst ab initio calcu- tion were carried out. At that time speed and memory of computers were very limited compared to today's standards. Moreover, the size of one-electron bases employed was small, so that it was only possible to achieve an orientation in methodical aspects rather than to generate new signi cant results. Extensive use of the coupled-cluster method started at the beginning of the eighties. With the help of more powerful computers the results of coupled-cluster approaches started to yield more and more interesting results of relevance to the interpretation of experimental data. New ideas in methodology kept appearing and computer codes became more and more ef cient. This exciting situation continues to this very day. Remarkably enough, even the - quired equations can now be generated by a computer with the help of symbolic languages. The size of this monograph and the rich variety of articles it contains attests to the usefulness and viability of the couple-cluster formalism for the h- dling of many-electron correlation effects. This represents a vivid testimony of a tremendous work that has been accomplished in coupled-cluster methodology and its exploitation.