This paper describes three methods of optimizing linear time-invariant networks using nonlinear programming (NLP), particularly the sequential unconstrained minimization technique (SUM T). Examples involving realistic constraints are included. I. Zntroduction
✦ LIBER ✦
Integrated nonlinear optimization of bioprocesses via linear programming
✍ Scribed by Julio Vera; Néstor V. Torres; Carmen G. Moles; Julio Banga
- Publisher
- American Institute of Chemical Engineers
- Year
- 2003
- Tongue
- English
- Weight
- 886 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Optimization of electrical networks usin
✍
V.K. Manaktala
📂
Article
📅
1972
🏛
Elsevier Science
🌐
English
⚖ 870 KB
Optimization of multiple-fraction batch
✍
S. Farhat; M. Czernicki; L. Pibouleau; S. Domenech
📂
Article
📅
1990
🏛
American Institute of Chemical Engineers
🌐
English
⚖ 834 KB
Batch distillation processes are very attractive for the recent development of the chemical industry: multipurpose, flexible plants and fine chemistry. For many separations of high-added value products, even a modest change in operating conditions has a significant economic impact-there is an import
The construction of an integral-optimal
✍
V.F. Dem'ianov
📂
Article
📅
1963
🏛
Elsevier Science
🌐
English
⚖ 368 KB
Optimization of large change tolerances
✍
Andrzej Filipkowski; Le Tue; Zdzisław Michalski
📂
Article
📅
1980
🏛
John Wiley and Sons
🌐
English
⚖ 486 KB
👁 1 views
Solution of static optimal control probl
✍
Givoli, Dan ;Patlashenko, Igor
📂
Article
📅
2000
🏛
John Wiley and Sons
🌐
English
⚖ 138 KB
👁 2 views
Linear optical characterization of nonli
✍
Silvia Mittler-Neher
📂
Article
📅
1998
🏛
John Wiley and Sons
🌐
English
⚖ 1002 KB