Math Problem Solver

can you find the optimal p1 and p2 of the function

$R = R_1 + R_2 + R_e $

under the constraint that $N_e < N_b$.

$R_x = (p_x-q) l_x \bar{F}( p_x / log(r)) \mu (1-B_x)$

$R_e = (p_2-q)\eta T_1 [G-\mu l_1\bar{F}(p_1/log(r))(1-B_1)]$

$N_b = l_2 T_2 \bar{F}(p_2/log(r))B_2$

$B_x = (\nu_{x}^C/C!) / (\sum_{k=0}^C \nu^k/k!)$

$\nu_x = l_x\mu/r \bar{F}(p_x/log(r)$

f is a pdf, \bar{F} is the opposite of a cdf