Density Matrix Renormalization Group (Dmrg)-Based Approaches In Computational Chemistry - 9780323856942

Elsevier
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9780323856942
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Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry outlines important theories and algorithms of DMRG-based approaches and explores their use in computational chemistry. Beginning with an introduction to DMRG and DMRG-based approaches, the book goes on to discuss the key theories and applications of DMRG, from DMRG for semi-empirical and ab-initio quantum chemistry, to DMRG in embedded environments, frequency spaces and quantum dynamics. Drawing on the experience of its expert authors, sections detail recent ideas and key developments, providing an up-to-date view of current developments in the field for students and researchers in quantum chemistry. Provides an expertly-curated, consolidated overview of research in the field Includes exercises that support learning and link theory to practice Outlines key theories and algorithms for computational chemistry applications


  • | Author: Haibo Ma|Ulrich Schollwöck|Zhigang Shuai
  • | Publisher: Elsevier
  • | Publication Date: Sep 16, 2022
  • | Number of Pages: 336 pages
  • | Language: English
  • | Binding: Paperback/Science
  • | ISBN-10: 0323856942
  • | ISBN-13: 9780323856942
Author:
Haibo Ma, Ulrich Schollwöck, Zhigang Shuai
Publisher:
Elsevier
Publication Date:
Sep 16, 2022
Number of pages:
336 pages
Language:
English
Binding:
Paperback/Science
ISBN-10:
0323856942
ISBN-13:
9780323856942