The Variation Method in Quantum Chemistry
β Scribed by SAUL T. EPSTEIN (Eds.)
- Publisher
- Academic Press Inc
- Year
- 1974
- Tongue
- English
- Leaves
- 283
- Series
- Physical Chemistry 33
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Physical Chemistry
Page ii
Front Matter
Page iii
Dedication
Page iv
Copyright page
Page iv
Preface
Page ix
Chapter I - General Theory of the Variation Method
Pages 1-25
Chapter II - Applications of the Variation Method
Pages 26-56
Chapter III - The Generalized Brillouin Theorem
Pages 57-68
Chapter IV - Special Theorems Satisfied by Optimal Trial Functions
Pages 69-119
Chapter V - Perturbation Theory and the Variation Method: General Theory
Pages 120-155
Chapter VI - Perturbation Theory and the Variation Method: Applications
Pages 156-186
Chapter VII - The Hylleraas Variation Method
Pages 187-220
Chapter VIII - Special Theorems Satisfied by Optimal First-Order Trial Functions
Pages 221-233
Chapter IX - Corrections to Approximate Calculations
Pages 234-243
Appendix A - The Max-Min Theorem
Pages 244-246
Appendix B - Lagrange Multipliers
Pages 247-249
Appendix C - Theorems Satisfied by Optimal Time-Dependent Variational Wave Functions
Pages 250-259
Appendix D - Various Hypervirial Theorems in the Presence of Magnetic Fields
Pages 260-264
Appendix E - Proof That (33-18) Is an Improvable Bound
Pages 265-267
Author Index
Pages 268-272
Subject Index
Pages 273-276
Physical Chemistry: A Series of Monographs
Pages ibc1-ibc2
π SIMILAR VOLUMES
The conventional numerical methods when applied to multidimensional problems suffer from the so-called "curse of dimensionality," that cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a "smart" rank-structured tensor
<p>The conventional numerical methods when applied to multidimensional problems suffer from the so-called "curse of dimensionality", that cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a "smart" rank-structured ten
<p>The conventional numerical methods when applied to multidimensional problems suffer from the so-called "curse of dimensionality", that cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a "smart" rank-structured ten