A Single-phase Method for Quadratic Programming
Title | A Single-phase Method for Quadratic Programming PDF eBook |
Author | Stanford University. Systems Optimization Laboratory |
Publisher | |
Pages | 80 |
Release | 1986 |
Genre | |
ISBN |
This report describes a single-phase quadratic programming method, an active-set method which solves a sequence of equality-constraint quadratic programs.
A Single-phased Method for Quadratic Programming
Title | A Single-phased Method for Quadratic Programming PDF eBook |
Author | Stephen Carey Hoyle |
Publisher | |
Pages | 250 |
Release | 1985 |
Genre | |
ISBN |
Scientific and Technical Aerospace Reports
Title | Scientific and Technical Aerospace Reports PDF eBook |
Author | |
Publisher | |
Pages | 256 |
Release | 1990 |
Genre | Aeronautics |
ISBN |
Inertia-controlling Methods for Quadratic Programming
Title | Inertia-controlling Methods for Quadratic Programming PDF eBook |
Author | Philip E. Gill |
Publisher | |
Pages | 48 |
Release | 1988 |
Genre | Quadratic programming |
ISBN |
We also derive recurrance relations that facilitate the efficient implementation of a class of inertia-controlling methods that maintain the factorization of a nonsingular matrix associated with the Karush-Kuhn-Tucker conditions."
Nonlinear Lp-Norm Estimation
Title | Nonlinear Lp-Norm Estimation PDF eBook |
Author | Rene Gonin |
Publisher | Routledge |
Pages | 320 |
Release | 2017-10-02 |
Genre | Mathematics |
ISBN | 1351428187 |
Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important reference/text extensively delineates ahistory of Lp-norm estimation. It examines the nonlinear Lp-norm estimation problem that isa viable alternative to least squares estimation problems where the underlying errordistribution is nonnormal, i.e., non-Gaussian.Nonlinear LrNorm Estimation addresses both computational and statistical aspects ofLp-norm estimation problems to bridge the gap between these two fields . . . contains 70useful illustrations ... discusses linear Lp-norm as well as nonlinear Lt, Lo., and Lp-normestimation problems . . . provides all appropriate computational algorithms and FORTRANlistings for nonlinear Lt- and Lo.-norm estimation problems . . . guides readers with clear endof-chapter notes on related topics and outstanding research publications . . . contains numericalexamples plus several practical problems .. . and shows how the data can prescribe variousapplications of Lp-norm alternatives.Nonlinear Lp-Norm Estimation is an indispensable reference for statisticians,operations researchers, numerical analysts, applied mathematicians, biometricians, andcomputer scientists, as well as a text for graduate students in statistics or computer science.
A Regularized Active-Set method For Sparse Convex Quadratic Programming
Title | A Regularized Active-Set method For Sparse Convex Quadratic Programming PDF eBook |
Author | |
Publisher | Stanford University |
Pages | 128 |
Release | |
Genre | |
ISBN |
Modeling, Solving and Application for Topology Optimization of Continuum Structures: ICM Method Based on Step Function
Title | Modeling, Solving and Application for Topology Optimization of Continuum Structures: ICM Method Based on Step Function PDF eBook |
Author | Yunkang Sui |
Publisher | Butterworth-Heinemann |
Pages | 395 |
Release | 2017-08-29 |
Genre | Technology & Engineering |
ISBN | 0128126566 |
Modelling, Solving and Applications for Topology Optimization of Continuum Structures: ICM Method Based on Step Function provides an introduction to the history of structural optimization, along with a summary of the existing state-of-the-art research on topology optimization of continuum structures. It systematically introduces basic concepts and principles of ICM method, also including modeling and solutions to complex engineering problems with different constraints and boundary conditions. The book features many numerical examples that are solved by the ICM method, helping researchers and engineers solve their own problems on topology optimization. This valuable reference is ideal for researchers in structural optimization design, teachers and students in colleges and universities working, and majoring in, related engineering fields, and structural engineers. - Offers a comprehensive discussion that includes both the mathematical basis and establishment of optimization models - Centers on the application of ICM method in various situations with the introduction of easily coded software - Provides illustrations of a large number of examples to facilitate the applications of ICM method across a variety of disciplines