A Mathematical Introduction to Electronic Structure Theory, 9781611975796
Paperback
Based on first principle quantum mechanics, electronic structure theory is widely used in physics, chemistry, materials science, and related fields. This book provides a self-contained, mathematically oriented introduction to the subject and its associated algorithms and analysis.

A Mathematical Introduction to Electronic Structure Theory

iterative solution of symmetric quasi-definite linear systems

$108.96

  • Paperback

    127 pages

  • Release Date

    29 June 2019

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Summary

Based on first principle quantum mechanics, electronic structure theory is widely used in physics, chemistry, materials science, and related fields and has recently received increasing research attention in applied and computational mathematics. This book provides a self-contained, mathematically oriented introduction to the subject and its associated algorithms and analysis. It will help applied mathematics students and researchers with minimal background in physics understand the basics of …

Book Details

ISBN-13:9781611975796
ISBN-10:1611975794
Series:SIAM Spotlights
Author:Lin Lin, Jianfeng Lu
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Paperback
Number of Pages:127
Release Date:29 June 2019
Weight:322g
Dimensions:256mm x 178mm
About The Author

Lin Lin

Lin Lin is an associate professor in the department of mathematics at the University of California, Berkeley, and is a faculty scientist at Lawrence Berkeley National Laboratory. He is a recipient of the Sloan Fellowship, the National Science Foundation CAREER Award, the Department of Energy Early Career Award, and the SIAM Computational Science and Engineering (CSE) Early Career Award. His research focuses on the development of efficient numerical methods for electronic structure calculations.Jianfeng Lu is an associate professor of mathematics, physics, and chemistry at Duke University, where he works in mathematical analysis and algorithm development for problems and challenges arising from computational physics, theoretical chemistry, and materials science. His work has been recognized by a Sloan Fellowship, a National Science Foundation Career Award, and the IMA Prize in Mathematics and its Applications.

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