Stabilized Sequential Quadratic Programming for Optimization and a Stabilized Newton-type Method for Variational Problems

Stabilized Sequential Quadratic Programming for Optimization and a Stabilized Newton-type Method for Variational Problems
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : OCLC:931468832
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Stabilized Sequential Quadratic Programming for Optimization and a Stabilized Newton-type Method for Variational Problems by : Damián Fernández

Download or read book Stabilized Sequential Quadratic Programming for Optimization and a Stabilized Newton-type Method for Variational Problems written by Damián Fernández and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stabilized Sequential Quadratic Programming for Optimization and a Stabilized Newton-type Method for Variational Problems Related Books

Stabilized Sequential Quadratic Programming for Optimization and a Stabilized Newton-type Method for Variational Problems
Language: en
Pages:
Newton-Type Methods for Optimization and Variational Problems
Language: en
Pages: 587
Authors: Alexey F. Izmailov
Categories: Business & Economics
Type: BOOK - Published: 2014-07-08 - Publisher: Springer

GET EBOOK

This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and
Optimal Quadratic Programming Algorithms
Language: en
Pages: 293
Authors: Zdenek Dostál
Categories: Mathematics
Type: BOOK - Published: 2009-04-03 - Publisher: Springer Science & Business Media

GET EBOOK

Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence
Recent Trends in Mathematical Modeling and High Performance Computing
Language: en
Pages: 441
Authors: Vinai K. Singh
Categories: Mathematics
Type: BOOK - Published: 2021-08-23 - Publisher: Springer Nature

GET EBOOK

This volume explores the connections between mathematical modeling, computational methods, and high performance computing, and how recent developments in these