1. |
An estimate of solution setperturabations for a system of linear inequalities |
|
Optimization Methods and Software,
Volume 6,
Issue 1,
1995,
Page 1-24
A.V. Lotov,
Preview
|
PDF (639KB)
|
|
摘要:
Hausdorff distance between solution sets of original and perturbed linear inequalities systems in real partially ordered Banach space is estimated. The estimation receives a particular simple expression for finite dimensional case. The concept of condition number for solution set of a linear inequalities system is suggested. Explicit expressions of Lipschitz constants are given
ISSN:1055-6788
DOI:10.1080/10556789508805622
出版商:Gordon and Breach Science Publishers
年代:1995
数据来源: Taylor
|
2. |
Truncated dual SQP method with limited memory |
|
Optimization Methods and Software,
Volume 6,
Issue 1,
1995,
Page 25-57
Q. Ni,
Preview
|
PDF (980KB)
|
|
摘要:
This paper represents a truncated dual sequential quadratic programming method with limited memory, which can solve sparse and dense large-scale nonlinear programming problems. Because an approximation of the inverse Hessian matrix of the Lagrangian function is formulated in a dual quadratic programming subproblem with simple bounds, the computation of the inverse matrix in the subproblem is avoided. A truncated solution of the dual quadratic programming subproblem is determined by an iterative method, in which the computation of the matrix-vector product, instead of the matrix factorization, is needed such that the implementation at each iteration is relatively simple and time-economic. With the technique of a limited memory update, the estimated inverse Hessian matrix of the Lagrangian function is computed and stored by means of some vectors, and this decreases the computation in solving the dual quadratic programming subproblem. The global convergence of the algorithm is proved and the numerical results on small and large test problems are given
ISSN:1055-6788
DOI:10.1080/10556789508805623
出版商:Gordon and Breach Science Publishers
年代:1995
数据来源: Taylor
|
3. |
A quadratically convergent line-search algorithm for pice wise smooth convex optimization* |
|
Optimization Methods and Software,
Volume 6,
Issue 1,
1995,
Page 59-80
Nurminski A. Evgeni,
Preview
|
PDF (537KB)
|
|
摘要:
A quadratically convergent line-search algorithm for piecewise smooth convex optimization based on a discontinuous piecewise linear approximation of the subgradient of the objective function is proposed. The algorithm safeguards the optimal point and has a global linear rate of convergence with locally quadratic convergence in the case of an isolated non-degenerate kink at the solution. For practical purposes it can be combined with the line-search routine based on cubic approximation of the objective function to produce an algorithm suitable for both smooth and nonsmooth optimization
ISSN:1055-6788
DOI:10.1080/10556789508805624
出版商:Gordon and Breach Science Publishers
年代:1995
数据来源: Taylor
|
4. |
International linear algebra year at cerfacs* |
|
Optimization Methods and Software,
Volume 6,
Issue 1,
1995,
Page 81-82
Preview
|
PDF (69KB)
|
|
ISSN:1055-6788
DOI:10.1080/10556789508805625
出版商:Gordon and Breach Science Publishers
年代:1995
数据来源: Taylor
|
5. |
Editorial board |
|
Optimization Methods and Software,
Volume 6,
Issue 1,
1995,
Page -
Preview
|
PDF (114KB)
|
|
ISSN:1055-6788
DOI:10.1080/10556789508805621
出版商:Gordon and Breach Science Publishers
年代:1995
数据来源: Taylor
|