scholarly journals The Quadratic Programming Method for Extracting Emission Line Maps from Line-blended Narrowband Images

2019 ◽  
Vol 158 (4) ◽  
pp. 145
Author(s):  
Toshiya Ueta ◽  
Hiroyuki Mito ◽  
Masaaki Otsuka ◽  
Yoshikazu Nakada ◽  
Blair C. Conn ◽  
...  
2019 ◽  
Vol 15 (2) ◽  
pp. 38-42
Author(s):  
O.S. Goncharenko ◽  
V.N. Gladilin ◽  
L. Šiaudinytė

2019 ◽  
Vol 8 (4) ◽  
pp. 277
Author(s):  
I GEDE WIKAN ADIWIGUNA ◽  
G.K GANDHIADI ◽  
NI MADE ASIH

The Separable programming method solves nonlinear programming problems by transforming a nonlinear shape that consists of a single variable into a linear function and resolved by the simplex method. Meanwhile, the quadratic programming method accomplishes the two degrees nonlinear model by transforming the nonlinear shape into linear function with the Kuhn Tucker Conditions and resolved by the simplex Wolfe method. Both of these methods are applied to the Markowitz’s portfolio model, which is to find the proportion of stock funds to obtain maximum profits by combination of three shares, such as BMRI, GGRM, and ICBP. The completion using the quadratic programming method is more effective and efficient with the same optimum value.


2014 ◽  
Vol 580-583 ◽  
pp. 1961-1965 ◽  
Author(s):  
Yin Duan ◽  
Wei Yuan ◽  
Hui Bo Liu

The sequential quadratic programming method is introduced in arch dam shape optimization design. In the optimization computation, the arch dam volume is taken as objective function, and the calculation is realized by automatically considering loading process, equivalent stress computation and simulation of shape optimization for arch dam based on FEM. A parabola arch dam is used as a numerical example. The result shows that the optimized figure is much safer and more practical, which indicates that the SQP method is an effective way for optimization design of arch dam shape.


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