Globally and Superlinearly Convergent Algorithms for Nonlinear Programming
Author: Siu Ming Chung
Publisher:
Published: 1975
Total Pages: 196
ISBN-13:
DOWNLOAD EBOOKPosts
Superlinearly Globally Convergent Algorithms for Nonlinear Programming Via Sequential Linear Programs
Author: Jerome Lawrence Kreuser
Publisher:
Published: 1979
Total Pages: 434
ISBN-13:
DOWNLOAD EBOOKSuperlinearly Convergent Algorithms in Nonlinear Programming
Author: Tsong-Jen Huang
Publisher:
Published: 1973
Total Pages: 244
ISBN-13:
DOWNLOAD EBOOKNonlinear Programming 3
Author: Olvi L. Mangasarian
Publisher: Academic Press
Published: 2014-05-10
Total Pages: 486
ISBN-13: 1483260321
DOWNLOAD EBOOKNonlinear 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
Author: Ber? Rustem
Publisher: Wiley-Blackwell
Published: 1998-04-15
Total Pages: 328
ISBN-13:
DOWNLOAD EBOOKAlgorithms 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
Author: Arieh Iserles
Publisher: Cambridge University Press
Published: 1995-07-13
Total Pages: 522
ISBN-13: 9780521482554
DOWNLOAD EBOOKActa 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
Author: Robert E. O'Malley
Publisher: SIAM
Published: 1992-01-01
Total Pages: 424
ISBN-13: 9780898713022
DOWNLOAD EBOOKProceedings -- Computer Arithmetic, Algebra, OOP.
Nonlinear Programming 4
Author: Olvi L. Mangasarian
Publisher: Academic Press
Published: 2014-05-10
Total Pages: 560
ISBN-13: 1483260178
DOWNLOAD EBOOKNonlinear 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
Author: Gianni Pillo
Publisher: Springer Science & Business Media
Published: 2013-12-01
Total Pages: 418
ISBN-13: 1461302412
DOWNLOAD EBOOKThis 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.
Mathematical Theory of Optimization
Author: Ding-Zhu Du
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 277
ISBN-13: 1475757956
DOWNLOAD EBOOKThis book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems.
