| contributor author | G. A. Gabriele | |
| contributor author | K. M. Ragsdell | |
| date accessioned | 2017-05-08T23:09:31Z | |
| date available | 2017-05-08T23:09:31Z | |
| date copyright | July, 1980 | |
| date issued | 1980 | |
| identifier issn | 1050-0472 | |
| identifier other | JMDEDB-27979#566_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/93676 | |
| description abstract | An extension of the generalized reduced gradient (GRG) method to large scale nonlinear programs with nonlinear constraints is discussed. The approach presented here represents the adoption of efficient methods for sparse matrices within the framework of the GRG algorithm. The resulting code, LGOPT, is described, and experience with a class of minimum weight structural problems is given. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Large Scale Nonlinear Programming Using The Generalized Reduced Gradient Method | |
| type | Journal Paper | |
| journal volume | 102 | |
| journal issue | 3 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.3254786 | |
| journal fristpage | 566 | |
| journal lastpage | 573 | |
| identifier eissn | 1528-9001 | |
| keywords | Gradient methods | |
| keywords | Nonlinear programming | |
| keywords | Gradients | |
| keywords | Weight (Mass) AND Algorithms | |
| tree | Journal of Mechanical Design:;1980:;volume( 102 ):;issue: 003 | |
| contenttype | Fulltext | |
