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Fig. 1

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Illustrative examples of the quadrature grids. Left: real part (blue and red lines) and positive and negative values of the imaginary part (yellow and purple lines, respectively) of F as a function of u(un+uk,k)$u\prime - \left(\nolbrace \frame{\frame{u_n} + \frame{u_\frame{\frame{k_\ell },k_\ell ^\prime }}} \norbrace\right)$, with u′ = u(ν′), un = u(νn), and uk,k=uku,kuku,k$\frame{u_\frame{\frame{k_\ell },k_\ell ^\prime }} = \frame{u_\frame{\frame{k_u},k_\ell ^\prime }} - \frame{u_\frame{\frame{k_u},\frame{k_\ell }}}$, for different values of u+uku,k$u + \frame{u_\frame{\frame{k_u},k_\ell ^\prime }}$. Here, a = 0.01, Θ = 0.9π, uku,k=11.1$\frame{u_\frame{\frame{k_u},\frame{k_\ell }}} = - 11.1$, and uku,kf=11.2$\frame{u_\frame{\frame{k_u},k_f^\prime }} = - 11.2$. The dots denote the quadrature nodes un′ generated with u = −11.15. Centre: number of quadrature nodes as a function of un and Θ, with a = 0.01, u1=11.15$u_1^ \star = - 11.15$, and u2=20$u_2^ \star = 20$. Right: logarithm of the relative error of evaluating Eq. (11) with the quadrature nodes of the central panel with respect to the reference values obtained with the Gauss–Kronrod adaptive method, with I = (1, 0, 0, 0), a = 0.01, and uku,k=uku,k=11.1$\frame{u_\frame{\frame{k_u},\frame{k_\ell }}} = \frame{u_\frame{\frame{k_u},k_\ell ^\prime }} = - 11.1$.

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