#pragma once #include #include // // $\frac{1}{\tau_{\alpha}}$; $\tau_{\alpha} = 0.5s$ // const float tau_alpha_inv = 2.0; // $V^0_{\alpha \beta}$ const float V0_AB = 2.1; // $\sigma$ const float SIGMA = 0.3; // // $\frac{-1}{2\sigma}$ // const float NEG_TWO_SIGMA_INV = -1.0 / (2 * SIGMA); // // $\frac{-V^0_{\alpha\beta}}{2\sigma}$ // const float NEG_V0_AB_div_TWO_SIGMA = V0_AB * NEG_TWO_SIGMA_INV; // $U^0_{\alpha B}$ const float U0_AB = 10.0; // $R$ const float R = 0.2; // // $\frac{-1}{R}$ // const float NEG_R_INV = -1.0 / R; // // $\frac{-U^0_{\alpha B}}{R}$ // const float NEG_U0_AB_div_R = -U0_AB / R; // $-c$ const float c_neg = -0.5; // $\varphi$ const float phi = 100.0 / 180.0 * M_PI; // $cos(\varphi)$ const float cos_phi = cos(phi); // // $\frac{1}{cos(\varphi)}$ // const float cos_phi_inv = 1 / cos(phi); // $$ const float v0_mean = 1.34; // $\sqrt{\theta}$ const float v0_std_dev = 0.26; // $\varDelta_{t}$ const float delta_t = 2; // $\varDelta_{t}^2$ const float delta_t_sq = delta_t * delta_t; // $dt$ const float dt = 0.02; // $-dt$ const float dt_neg = -dt; // $-c \cdot dt$ const float c_neg_times_dt = c_neg * dt; // // $\frac{1}{\tau_{\alpha}} \cdot dt$ // const float dt_times_tau_alpha_inv = dt * tau_alpha_inv; const float cost_add = 1; const float cost_mult = 1; const float cost_div = 1; // https://acl.inf.ethz.ch/teaching/fastcode/knowledgebase/#:~:text=How%20do%20exp(x)%2C%20sin(x)%2C%20etc.%20count%20in%20the%20flopcount%20of%20an%20algorithm%3F const float cost_exp = 30; // -O3 maps each sqrt() call to an instruction const float cost_sqrt = 1; // Numerical tolerance used to avoid division by zero and unstable operations // when distances or norms are extremely small. const float EPS = 1e-9; // Squared numerical tolerance const float EPS_SQ = EPS * EPS; // Cutoff for pedestrian-pedestrian repulsion const float CUTOFF = 12.0; const float CUTOFF_SQ = CUTOFF * CUTOFF; const float cos_phi_sq = cos_phi * cos_phi; const size_t CACHE_BLOCK_SIZE = std::hardware_destructive_interference_size;