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Globally and Superlinearly Convergent Algorithms for Nonlinear Programming

Globally and Superlinearly Convergent Algorithms for Nonlinear Programming PDF Author: Siu Ming Chung
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 196

Book Description


Globally and Superlinearly Convergent Algorithms for Nonlinear Programming

Globally and Superlinearly Convergent Algorithms for Nonlinear Programming PDF Author: Siu Ming Chung
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 196

Book Description


Superlinearly Globally Convergent Algorithms for Nonlinear Programming Via Sequential Linear Programs

Superlinearly Globally Convergent Algorithms for Nonlinear Programming Via Sequential Linear Programs PDF Author: Jerome Lawrence Kreuser
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 434

Book Description


Superlinearly Convergent Algorithms in Nonlinear Programming

Superlinearly Convergent Algorithms in Nonlinear Programming PDF Author: Tsong-Jen Huang
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 244

Book Description


Nonlinear Programming 3

Nonlinear Programming 3 PDF Author: Olvi L. Mangasarian
Publisher: Academic Press
ISBN: 1483260321
Category : Mathematics
Languages : en
Pages : 486

Book Description
Nonlinear Programming 3 covers the proceedings of the Special Interest Group on Mathematical Programming Symposium conducted by the Computer Sciences Department at the University of Wisconsin, Madison, on July 11-13, 1977. This book is composed of 17 chapters. The first eight chapters describe some of the most effective methods available for solving linearly and nonlinearly constrained optimization problems. The subsequent chapter gives algorithms for the solution of nonlinear equations together with computational experience. Other chapters provide some applications of optimization in operations research and a measurement procedure for optimization algorithm efficiency. These topics are followed by discussion of the methods for solving large quadratic programs and algorithms for solving stationary and fixed point problems. The last chapters consider the minimization of certain types of nondifferentiable functions and a type of Newton method. This book will prove useful to mathematicians and computer scientists.

Algorithms for Nonlinear Programming and Multiple-Objective Decisions

Algorithms for Nonlinear Programming and Multiple-Objective Decisions PDF Author: Ber? Rustem
Publisher: Wiley-Blackwell
ISBN:
Category : Computers
Languages : en
Pages : 328

Book Description
Algorithms are solution methods used for optimal decision making in mathematics and operations research. This book is a study of algorithms for decision making with multiple objectives. It is a distillation of recent research in developing methodologies for solving optimal decision problems in economics, and engineering and reflects current research in these areas.

Acta Numerica 1995: Volume 4

Acta Numerica 1995: Volume 4 PDF Author: Arieh Iserles
Publisher: Cambridge University Press
ISBN: 9780521482554
Category : Mathematics
Languages : en
Pages : 522

Book Description
Acta Numerica has established itself as the prime forum for the presentation of definitive reviews of numerical analysis topics. The invited review papers, by leaders in their respective fields, allow researchers and graduate students alike quickly to grasp trends and developments. Highlights of the 1995 issue include articles on sequential quadratic programming, mesh adaption, free boundary problems and particle methods in continuum computations.

ICIAM 91

ICIAM 91 PDF Author: Robert E. O'Malley
Publisher: SIAM
ISBN: 9780898713022
Category : Mathematics
Languages : en
Pages : 424

Book Description
Proceedings -- Computer Arithmetic, Algebra, OOP.

Convexity and Optimization in Finite Dimensions I

Convexity and Optimization in Finite Dimensions I PDF Author: Josef Stoer
Publisher: Springer Science & Business Media
ISBN: 3642462162
Category : Mathematics
Languages : en
Pages : 306

Book Description
Dantzig's development of linear programming into one of the most applicable optimization techniques has spread interest in the algebra of linear inequalities, the geometry of polyhedra, the topology of convex sets, and the analysis of convex functions. It is the goal of this volume to provide a synopsis of these topics, and thereby the theoretical back ground for the arithmetic of convex optimization to be treated in a sub sequent volume. The exposition of each chapter is essentially independent, and attempts to reflect a specific style of mathematical reasoning. The emphasis lies on linear and convex duality theory, as initiated by Gale, Kuhn and Tucker, Fenchel, and v. Neumann, because it represents the theoretical development whose impact on modern optimi zation techniques has been the most pronounced. Chapters 5 and 6 are devoted to two characteristic aspects of duality theory: conjugate functions or polarity on the one hand, and saddle points on the other. The Farkas lemma on linear inequalities and its generalizations, Motzkin's description of polyhedra, Minkowski's supporting plane theorem are indispensable elementary tools which are contained in chapters 1, 2 and 3, respectively. The treatment of extremal properties of polyhedra as well as of general convex sets is based on the far reaching work of Klee. Chapter 2 terminates with a description of Gale diagrams, a recently developed successful technique for exploring polyhedral structures.

Nonlinear Programming 4

Nonlinear Programming 4 PDF Author: Olvi L. Mangasarian
Publisher: Academic Press
ISBN: 1483260178
Category : Mathematics
Languages : en
Pages : 560

Book Description
Nonlinear Programming, 4 focuses on linear, quadratic, and nonlinear programming, unconstrained minimization, nonsmooth and discrete optimization, ellipsoidal methods, linear complementarity problems, and software evaluation. The selection first elaborates on an upper triangular matrix method for quadratic programming, solving quadratic programs by an exact penalty function, and QP-based methods for large-scale nonlinearly constrained optimization. Discussions focus on large-scale linearly constrained optimization, search direction for superbasic variables, finite convergence, basic properties, comparison of three active set methods, and QP-based methods for dense problems. The book then examines an iterative linear programming algorithm based on an augmented Lagrangian and iterative algorithms for singular minimization problems. The publication ponders on the derivation of symmetric positive definite secant updates, preconditioned conjugate gradient methods, and finding the global minimum of a function of one variable using the method of constant signed higher order derivatives. Topics include effects of calculation errors, application to polynomial minimization, using moderate additional storage, updating Cholesky factors, and utilizing sparse second order information. The selection is a valuable source of data for researchers interested in nonlinear programming.

High Performance Algorithms and Software for Nonlinear Optimization

High Performance Algorithms and Software for Nonlinear Optimization PDF Author: Gianni Pillo
Publisher: Springer Science & Business Media
ISBN: 1461302412
Category : Mathematics
Languages : en
Pages : 418

Book Description
This volume contains the edited texts of the lectures presented at the Workshop on High Performance Algorithms and Software for Nonlinear Optimization held in Erice, Sicily, at the "G. Stampacchia" School of Mathematics of the "E. Majorana" Centre for Scientific Culture, June 30 - July 8, 2001. In the first year of the new century, the aim of the Workshop was to assess the past and to discuss the future of Nonlinear Optimization, and to highlight recent achieve ments and promising research trends in this field. An emphasis was requested on algorithmic and high performance software developments and on new computational experiences, as well as on theoretical advances. We believe that such goal was basically achieved. The Workshop was attended by 71 people from 22 countries. Although not all topics were covered, the presentations gave indeed a wide overview of the field, from different and complementary stand points. Besides the lectures, several formal and informal discussions took place. We wish to express our appreciation for the active contribution of all the participants in the meeting. The 18 papers included in this volume represent a significant selection of the most recent developments in nonlinear programming theory and practice. They show that there is plenty of exciting ideas, implementation issues and new applications which produce a very fast evolution in the field.