9781332868841 - implementation of the schnabel and eskow modified cholesky factorization in the context of a truncated-newton optimization method (classic reprint) de schlick, tamar (3 resultados)

- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,55
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,51
Envío por EUR 3,84Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
- Impresión bajo demanda
Librería: Forgotten Books, London, Reino UnidoForgotten Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,53
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Print on Demand. This book delves into the fascinating world of nonlinear optimization, a field that seeks to find the best solutions to complex problems where the relationships between variables are not simple. The author specifically focuses on a technique known as the Modified Cholesky Factorization… (MCF), a powerful tool for solving large, sparse systems of equations that arise in various scientific disciplines. The book compares two popular MCF implementations: the Gill, Murray, and Wright (GMW) method and the Schnabel & Eskow (S&E) method. While both factorizations have been widely used in the context of nonlinear optimization, this book explores their differences in performance and highlights how the S&E method may be particularly advantageous for dealing with highly indefinite systems, those that exhibit a complex combination of positive and negative values. The book analyzes various numerical experiments to demonstrate how each approach tackles the challenges of finding solutions for different types of problems, and concludes with a compelling argument for the S&E method as a potentially more efficient and robust tool for solving the types of complex equations that arise in fields like computational chemistry and mathematical biology. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.