Mathematics, 07.10.2019 19:20, romeroalexis817
In order to implement complicated nonlinear functions in a computer, so- metimes polynomial approximations are used. in this exercise, we explore one way of computing these using linear programming. consider a scalar function f(x), which we are trying to approximate over the interval [a; b] with a polynomial p(x) of degree d. as a measure of how well the polynomial approximates the function, we can use the norm. || f β p||. : = sup if(x) β p(x)]. the minimax or chebyshev polynomial approximation of degree d of f(x) is then defined as min || f (x) β p(x) ||, where pa is the set of polynomials of degree less than or equal to d. because the true il . il norm can sometimes be troublesome to compute, throughout this exercise we will use instead a discrete approximation given by: ||g|| : = max g(xi)], where the ti is a set of n points equispaced on the interval. give a standard linear programming formulation of the chebyshev approximation problem in the || . ii norm.
Answers: 2
Mathematics, 21.06.2019 17:20, organicmemez
Researchers were interested in whether relaxation training decreases the number of headaches a person experiences. they randomly assigned 20 participants to a control group or a relaxation training group and noted the change in number of headaches each group reported from the week before training to the week after training. which statistical analysis should be performed to answer the researchers' question?
Answers: 2
Mathematics, 21.06.2019 22:00, Morehollie9428
Type the correct answer in the box. consider the system of linear equations below. rewrite one of the two equations above in the form ax + by = c, where a, b, and c are constants, so that the sum of the new equation and the unchanged equation from the original system results in an equation in one variable.
Answers: 2
In order to implement complicated nonlinear functions in a computer, so- metimes polynomial approxim...
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