A method of multiplier is presented for solving optimization problems. For large-scale constraint problems, combining the active set strategy, we use the aggregate function to approximate the max-value function. Only ...
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In order to overcome the problem of lack ofgenerality in nonlinear programming (NLP) testproblem formulation and to introduce the concept ofcognitive NLP method switching, statistical machinelearning has been applied ...
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Recently, a comprehensive dynamic mathematical model named Copernicus has been established to discover the mechanism of the vascular bubble formation and growth during and after decompression from a dive. The model us...
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In this tutorial we discuss fundamental concepts that enable the solution of large-scale structured nonlinear programming problems on high-performance computers. We focus on linear algebra parallelization strategies a...
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ISBN:
(纸本)9781479978878
In this tutorial we discuss fundamental concepts that enable the solution of large-scale structured nonlinear programming problems on high-performance computers. We focus on linear algebra parallelization strategies and discuss how such strategies influence the choice of algorithmic frameworks capable of enforcing global convergence and deal with nonconvexities. We also discuss how the characteristics of different computing architectures influence the choice of algorithmic strategies.
NASA Technical Reports Server (Ntrs) 19770026223: Minimum Time Acceleration of Aircraft Turbofan Engines by Using an Algorithm Based on nonlinear programming by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19770026223: Minimum Time Acceleration of Aircraft Turbofan Engines by Using an Algorithm Based on nonlinear programming by NASA Technical Reports Server (Ntrs); published by
In this paper, a tensegrity structure (TS) design is formulated as a nonlinear programming (NLP) problem, and a winner-take-all artificial emotional neural network (WTA-ENN) is proposed to solve the resulting NLP. The...
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ISBN:
(纸本)9781509006212
In this paper, a tensegrity structure (TS) design is formulated as a nonlinear programming (NLP) problem, and a winner-take-all artificial emotional neural network (WTA-ENN) is proposed to solve the resulting NLP. The main feature of proposed WTA-ENN is related to low number of learning weights and simplicity of its learning rules that make it a suitable model for complicated TS design problems. Numerical results indicate that WTA-ENN can effectively solve NLP problem obtained from basic module of a typical TS Tower. The proposed method can be effectively used in architectural, structural and robotics design.
The polyester fiber spinning process is extensive,and the involved dynamic models are complex and difficult to solve *** paper presents the optimal control strategy of polyester fiber *** on a dynamic model of the spi...
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The polyester fiber spinning process is extensive,and the involved dynamic models are complex and difficult to solve *** paper presents the optimal control strategy of polyester fiber *** on a dynamic model of the spinning process,optimal objectives are determined to minimize production costs and meet production *** employ Radau collocation on finite elements to discretize the continuous dynamic model,which is transformed into finite-dimensional nonlinear programming(NLP) *** developed strategy combines a multiple shot algorithm and half-score method to solve the obtained NLP *** find the best initial values quickly and achieve the control objective under the constraints of the spinning process' s mechanism *** objective function measures the difference between the actual production and the desired value,and the merit of the objective function directly affects the control *** this paper,single-objective and multi-objective control strategies are designed according to different production *** make the objective function effectively reflect the product quality,its setting is inseparable from each state variable,and we explore the control effect for different objective ***,simulation results verify the feasibility and superiority of the orthogonal collocation on finite element and multiple shooting algorithms.
In this paper we propose a set of guidelines to select a solver for the solution of nonlinear programming problems. With this in mind, we present a comparison of the convergence performances of commonly used solvers f...
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NASA Technical Reports Server (Ntrs) 19880015239: nonlinear programming Extensions to Rational Function Approximation Methods for Unsteady Aerodynamic Forces by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19880015239: nonlinear programming Extensions to Rational Function Approximation Methods for Unsteady Aerodynamic Forces by NASA Technical Reports Server (Ntrs); published by
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