scholarly journals A quadratic programming approach to simultaneous buffer insertion/sizing and wire sizing

1999 ◽  
Vol 18 (6) ◽  
pp. 787-798 ◽  
Author(s):  
C.C.N. Chu ◽  
D.F. Wong
Keyword(s):  
Quadratic Programming ◽  
Programming Approach ◽  
Buffer Insertion ◽  
Wire Sizing

scholarly journals Solution of Quadratic Programming with Interval Variables Using a Two-Level Programming Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Syaripuddin ◽  
Herry Suprajitno ◽  
Fatmawati
Keyword(s):  
Quadratic Programming ◽  
Programming Model ◽  
Programming Models ◽  
Programming Approach ◽  
Optimum Point ◽  
Interval Variables ◽  
Interval Coefficients ◽  
Optimum Solution

Quadratic programming with interval variables is developed from quadratic programming with interval coefficients to obtain optimum solution in interval form, both the optimum point and optimum value. In this paper, a two-level programming approach is used to solve quadratic programming with interval variables. Procedure of two-level programming is transforming the quadratic programming model with interval variables into a pair of classical quadratic programming models, namely, the best optimum and worst optimum problems. The procedure to solve the best and worst optimum problems is also constructed to obtain optimum solution in interval form.

Optimization-based transient control of turbofan engines: a sequential quadratic programming approach

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jiqiang Wang ◽  
Huan Hu ◽  
Weicun Zhang ◽  
Zhongzhi Hu
Keyword(s):  
Quadratic Programming ◽  
Sequential Quadratic Programming ◽  
Programming Approach ◽  
Evolutionary Computations ◽  
Turbofan Engines ◽  
Flight Envelope ◽  
Transient Control ◽  
Limit Protection ◽  
Computational Resources ◽  
Design Guidance

Abstract Engine transient control has been challenging due to its stringent requirements from both performance and safety. Many methodologies have been proposed such as conventional schedule-based methods, linear parameter varying, multiobjective optimization and evolutionary computations etc. These approaches have been well-established and led to a series of significant results. However, they are either not providing limit protection or requiring exhaustive computational resources, particularly when generating results into full flight envelope applications. Consequently a compromise between limit protection and computational complexity is necessitated. This note considers a sequential quadratic programming (SQP)-based method for full flight envelope investigations. The proposed method can provide important design guidance and the corresponding claims are validated through detailed analysis and simulations.

Sign in / Sign up

Export Citation Format

Share Document