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142

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144

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145

Aerodynamic shape optimization on overset grids using the adjoint method
Liao, W. ; Tsai, H.M. ; TEMASEK LABORATORIES
International Journal for Numerical Methods in Fluids. 62:1332-1356

Variational methods appl... Overset grid Hydro- and aero-acoustic... 02 engineering and techn... optimization design 01 natural sciences
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146

Complexity analysis of pipeline mapping problems in distributed heterogeneous networks
Rao, Nageswara [ORNL]
International Journal of Distributed Sensor Networks; 5; 1

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147

The triviality condition for kernels of quadratic mappings and its application in optimization methods
Tret’yakov, Aleksey ; Tyrtyshnikov, Eugene ; Ustimenko, Aleksey
Russian Journal of Numerical Analysis and Mathematical Modelling. 32(4):267-274

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148

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150

Strategic planning for power system restorations
Coffrin, Carleton [BROWN UNIV.]
Conference: 2011 International Conference on Vulnerability and Risk Analysis ; April 11, 2011 ; Hyattsville, MD

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151

Reduced-order model for dynamic optimization of pressure swing adsorption processes
Zitney, S
Conference: 2007 AIChE Annual Meeting, Salt Lake city, UT, November 4-9, 2007; Other Information: 2007 AIChE Annual Meeting Conference Proceedings (CD-ROM), AIChE, NY, November 2007, ISBN: 978-08169-1022-9, paper 429a, 2 pp.

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153

Improved hybrid Strength Pareto Evolutionary Algorithms for multi-objective optimization
Shankar, K. ; Baviskar, Akshay S.
International Journal of Intelligent Computing and Cybernetics, 2018, Vol. 11, Issue 1, pp. 20-46.

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154

Experience with approximations in the trust-region parallel direct search algorithm.
Howle, Victoria [Texas Tech University, Lubbock, TX]
Conference: Proposed for presentation at the International Conference on Computational Science 2009 held May 25-27, 2009 in Baton Rouge, LA.

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155

Time Scaling Transformation Avoiding Sensitivity Discontinuity for Nonlinear Optimal Control
Wang, Hainan ; Liu, Xinhong ; Gatzke, Edward P.
Industrial & Engineering Chemistry Research. 62(36):14407-14426

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156

A solution method of unit commitment by artificial neural networks
Yokoyama, R [Dept. of Electrical Engineering, Tokyo Metropolitan Univ., 1-2-1 Fukazawa, Setagayaku, Tokyo 159 (JP)]
IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States); 7:3

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157
158

Space-Time Approximation with Sparse Grids
Vassilevski, P
SIAM Journal on Scientific Computing; 28; 2

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159

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160

Enhanced algorithms for stochastic programming
Krishna, Alamuru [Stanford Univ., CA (United States)]
Other Information: TH: Thesis (Ph.D.); PBD: Sep 1993

Dissertation
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