Linear programming.
概要
| 作品: | 130 作品在 15 項出版品 15 種語言 | |
|---|---|---|
書目資訊
Interior point approach to linear, quadratic, and convex programming : = algorithms and complexity /
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Aspects of semidefinite programming = interior point algorithms and selected applications /
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Methods of mathematical economics = linear and nonlinear programming, fixed-point theorems /
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Trajectory anomalies in interplanetary spacecraft = a method for determining accelerations due to thermal emissions and new mission proposals /
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An introduction to fuzzy linear programming problems = theory, methods and applications /
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Batteries and Thermal Energy Storage: An Analytical Method for Sizing and Analyzing Potential Synergies in Hybrid Systems.
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A Deep Learning Based Approach to Sketch Recognition and Model Transformation for Requirements Elicitation and Modelling.
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A Big Data Approach to Accounting Fraud Detection Using Data Envelopment Analysis and One Class Support Vector Machine.
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Potential function methods for approximately solving linear programming problems = theory and practice /
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Logic-based methods for optimization : = combining optimization and constraint satisfaction /
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Linear and integer programming vs linear integration and counting = a duality viewpoint /
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Potential function methods for approximately solving linear programming problems = theory and practice /
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Linear programming models and methods of matrix games with payoffs of triangular fuzzy numbers
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Linear programming and algorithms for communication networks = a practical guide to network design, control, and management /
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Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
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Data-Driven Solutions to Intelligent Transportation System Problems Concerning Traffic Safety and Mobility.
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Mathematical Optimization Algorithms for Model Compression and Adversarial Learning in Deep Neural Networks.
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Uniqueness for Continuous Superresolution by Means of Choquet Theory and Geometric Measure Theory.
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Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning.
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Canadian life and health insurance productivity evaluation using data envelopment analysis.
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