quadratic model वाक्य
उदाहरण वाक्य
मोबाइल
- In this case, we might propose a quadratic model of the form
- LINCOA solves linearly constrained optimization problems without using derivatives of the quadratic models by interpolation.
- BOBYQA solves bound constrained optimization problems without using derivatives of the quadratic models by interpolation.
- The same as NEWUOA, LINCOA constructs the quadratic models by the least Frobenius norm updating technique.
- The same as NEWUOA, BOBYQA constructs the quadratic models by the least Frobenius norm updating technique.
- Plugging the result back into, we now have a quadratic model of the value at time i:
- For instance, we could have chosen the restricted quadratic model y = \ beta _ 1 x ^ 2.
- In this case ( assuming that the first regressor is constant ) we have a quadratic model in the second regressor.
- SQP methods solve a sequence of optimization subproblems, each of which optimizes a quadratic model of the objective subject to a linearization of the constraints.
- A major difference between them is that UOBYQA constructs quadratic models by objective function at ( n + 1 ) ( n + 2 ) / 2 points.
- Box's design reduced the costs of experimentation so that a quadratic model could be fit, which led to a ( long-sought ) ascent direction.
- The linear quadratic model is widely viewed in radiotherapy as the best model of cellular survival, and it is the best fit to leukemia data from the LSS cohort.
- The engineers had not been able to afford to fit a cubic three-level design to estimate a quadratic model, and their biased linear-models estimated the gradient to be zero.
- A major difference between them is that NEWUOA constructs quadratic models by objective function at much less than ( n + 1 ) ( n + 2 ) / 2 points ( 2n + 1 by default ).
- In this sense we can state that a quadratic model is a generalization of the linear model, and its use is justified by the desire to extend the classifier's ability to represent more complex separating surfaces.
- To estimate the 105 parameters in a quadratic model of 13 variables, one must formally exclude from consideration or compute | X'X | for well over 10 6 C10 2, i . e . 3 13 C105, or roughly 10 484 matrices.
- For example, a quadratic design for 30 variables requires a 30 column PB plan matrix of zeroes and ones, replacing the ones in each line using PB seed matrices of-1s and + 1s ( for 15 or 16 variables ) wherever a one appears in the plan matrix, creating a 557 runs design with values,-1, 0, + 1, to estimate the 496 parameters of a full quadratic model.
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