Finding the extreme Z-eigenvalues of tensors via a sequential semidefinite programming method

2013 ◽  
Vol 20 (6) ◽  
pp. 972-984 ◽  
Author(s):  
Shenglong Hu ◽  
Zheng-Hai Huang ◽  
Liqun Qi
Keyword(s):  
Semidefinite Programming ◽  
Programming Method ◽  
Eigenvalues Of Tensors

Novel approaches using semidefinite programming method for power systems state estimation

2013 ◽  
Author(s):  
Yang Weng ◽  
Bruce Fardanesh ◽  
Marija D. Ilic ◽  
Rohit Negi
Keyword(s):  
Power Systems ◽  
Semidefinite Programming ◽  
State Estimation ◽  
Programming Method ◽  
Novel Approaches

scholarly journals A semidefinite programming method for integer convex quadratic minimization

2017 ◽  
Vol 12 (3) ◽  
pp. 499-518 ◽  
Author(s):  
Jaehyun Park ◽  
Stephen Boyd
Keyword(s):  
Semidefinite Programming ◽  
Programming Method ◽  
Quadratic Minimization

Homogeneous Self-Dual Algorithms for Stochastic Semidefinite Programming

2011 ◽  
Author(s):  
Shengping Jin ◽  
K. A. Ariyawansa ◽  
Yuntao Zhu
Keyword(s):  
Semidefinite Programming ◽  
Stochastic Semidefinite Programming

Multi-Objective Fuzzy Linear Programming for Land Allocation under Different Crops in Bhagwanpur Distributary

2019 ◽  
Vol 6 (04) ◽  
Author(s):  
ASHUTOSH UPADHYAYA
Keyword(s):  
Linear Programming ◽  
Crop Production ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Command Area ◽  
Linear Programming Method ◽  
Net Return ◽  
Multi Objective ◽  
Labour Requirement ◽  
Canal Command Area

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.

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