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This paper presents a novel nonintrusive load identification method based on quadratic programming.
Hu and Wang presented in [16] a method of degree reduction without any boundary conditions based on quadratic programming.
Linear MPC, based on quadratic programming, can then be efficiently performed on the resulting low-order, piece-wise affine system.
Hu and Wang used in [16] a degree reduction method based on quadratic programming without any boundary condition and got an error of 9.4.
Fengler [5] proposed a procedure based on quadratic programming using the cubic spline smoothing on the call price data to get an arbitrage-free implied volatility.
The significance of each factor and associated interactive effects were evaluated using a two-level factorial statistical design (24) in conjunction with statistical software based on quadratic programming.
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This approach is efficient for high dimensional datasets, as memory consumption remains stable during minimization, in contrast to other implementations based on quadratically constrained quadratic programming (Bach et al., 2004) or semi-infinite linear programming (Lanckriet et al., 2004).
It is a quadratic model-based gradient-free trust-region algorithm based on quadratic interpolation.
Two synthesis methods based on quadratic and non-quadratic Lyapunov functions are considered.
An analysis of bias is based on quadratic Taylor series approximations and the properties of expectations.
Based on the quadratic programming model and the preference theory, the optimal portfolio decision is made.
More suggestions(15)
based on quadratic spline
based on quadratic regression
based on quadratic performance
based on quadratic approximation
based on quadratic function
based on quadratic loss
based on Genetic programming
based on quadratic mapping
based on quadratic optimization
based on mathematical programming
based on linear programming
based on dynamic programming
based on typical programming
based on modular programming
based on fuzzy programming
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