Complementary first and second derivative methods for ansatz optimization in variational Monte Carlo
Author:
Affiliation:
1. Department of Physics
2. University of California
3. Berkeley
4. USA
5. Department of Chemistry
6. Chemical Sciences Division
Abstract
This Perspective contrasts first and second derivative methods in variational Monte Carlo and presents a hybrid optimization approach that combines their advantages.
Funder
Basic Energy Sciences
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2019/CP/C9CP02269D
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