Ibm :: 1620 :: Programs :: 1620-Co-04X 1620-1311 linear programming System :: H20-0106-0 1620-1311 linear programming System Reference Manual by published by
Ibm :: 1620 :: Programs :: 1620-Co-04X 1620-1311 linear programming System :: H20-0106-0 1620-1311 linear programming System Reference Manual by published by
Elementary Mathematics of linear programming and Game Theory by Bennion, Edward G; published by East Lansing: Bureau of Business and Economic Research, College of Business and Public Service, Michigan State University
Elementary Mathematics of linear programming and Game Theory by Bennion, Edward G; published by East Lansing: Bureau of Business and Economic Research, College of Business and Public Service, Michigan State University
Dtic Ada016187: on a Pilot linear programming Model for Assessing Physical Impact on the Economy of a Changing Energy Picture by Defense Technical Information Center; published by
Dtic Ada016187: on a Pilot linear programming Model for Assessing Physical Impact on the Economy of a Changing Energy Picture by Defense Technical Information Center; published by
[Auto Generated] Chapter 1: Concepts and Examples . 1 Distillate (heating oil) Blending. 26 Fuel Blending . 27 1.1: Example of Production Capacity 3.3: The Objective Function Allocation . 2 and Constraints 27 1. 2: Ex...
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[Auto Generated] Chapter 1: Concepts and Examples . 1 Distillate (heating oil) Blending. 26 Fuel Blending . 27 1.1: Example of Production Capacity 3.3: The Objective Function Allocation . 2 and Constraints 27 1. 2: Example of Feed Blending 7 Objective Function . 27 1. 3: Example of Investment Policy 9 Material-Balance Constraints 27 1. 4: Characteristics of a linear Pipe-Still Constraints. 27 programming Application. 13 Cat-Cracker Constraint 27 1. 5: Typical linear programming Fuel Oil-Blending
NASA Technical Reports Server (Ntrs) 19750006438: Indirect Synthesis of Multi-Degree of Freedom Transient Systems. [linear programming for a Kinematically linear System by NASA Technical Reports Server (Ntrs); publish...
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NASA Technical Reports Server (Ntrs) 19750006438: Indirect Synthesis of Multi-Degree of Freedom Transient Systems. [linear programming for a Kinematically linear System by NASA Technical Reports Server (Ntrs); published by
[Auto Generated] Introduction . . . . . Problem Profile . . . Problem Economics Historical Conditions Problem Complexity The Manual Approach LP Model Formulation . . . Input Data Requirements Single-Furnace Problem .....
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[Auto Generated] Introduction . . . . . Problem Profile . . . Problem Economics Historical Conditions Problem Complexity The Manual Approach LP Model Formulation . . . Input Data Requirements Single-Furnace Problem .... Activities (Matrix Columns) Constraints (Matrix Rows) . Summary ....... . Multifurnace Model . . . . . Special Constraints and Formulations Example 1 - Equivalence Example 2 - Substitution Problem Answers . . . . Optimal Solution. . . . Other Optimal Output . 2 2 2 2 3 3 3 3 4 4
By providing substantial gains in terms of both spectral and energy-efficiency, Massive MIMO is expected to be the promising enabler for the fifth generation (5G) communications. However the performance of massive MIM...
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ISBN:
(纸本)9781509016990
By providing substantial gains in terms of both spectral and energy-efficiency, Massive MIMO is expected to be the promising enabler for the fifth generation (5G) communications. However the performance of massive MIMO is greatly affected by pilot contamination due to the insufficiency of pilot sequences. To overcome this, we propose a linear programming based pilot allocation with the purpose of alleviating the effect of pilot contamination and maximizing the system throughput. We first formulate the pilot allocation as a user clustering problem, which can be converted to a linear programming one by introducing the integer factor and constraint relaxation. An efficient linear programming algorithm is proposed to solve the problem. Simulation results demonstrate that the proposed scheme outperforms the other candidates in the presence of pilot contamination.
linear programming optimization is widely used in several application areas. One possible application of this optimization technique, which has not received sufficient attention, is process control. In particular, the...
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linear programming optimization is widely used in several application areas. One possible application of this optimization technique, which has not received sufficient attention, is process control. In particular, the standard structure of linear programming optimization problems allows formulating optimal predictive control schemes with the additional advantage of facilitating the handling of actuator saturation. Actuator saturation appears in many engineering applications and there are several control approaches dealing with this problem. In this article, a very simple predictive control scheme based on linear programming optimization for actuator saturation control is proposed. The main characteristics of the presented scheme are simplicity and practical robustness/performance tuning parameters. First, the simplest possible output-feedback linear programming predictive controller is proposed as a starting point. Next, through several practical observations inspired in classical control engineering, a series of modifications to the basic controller structure are proposed. These modifications aim at effectively increasing the performance and robustness of the control algorithm. The experimental results confirm that the proposed control algorithm can operate effectively under the presence of perturbations, something which is currently not widely reported in the literature for linear programming actuator saturation predictive control.
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