-- stork2.lua: STORK 2 — Stabilized Taylor Orthogonal RK (2nd order, 1 NFE) -- Uses RKG2 Chebyshev sub-stepping with velocity derivatives from history. solver = { name = "stork2", display = "STORK 2", description = "2nd-order stabilized Taylor-Chebyshev (1 NFE)", nfe = 1, order = 2, needs_model = false, stateful = true, stochastic = false, params = { { key = "substeps", type = "slider", label = "Substeps", default = 10, min = 2, max = 50, step = 1, hint = "Number of Chebyshev sub-steps (more = more stable)" }, }, } local velocity_history = {} -- {vt={}, dt=float} local function rms(data, n) local sum = 0 for i = 0, n-1 do sum = sum + data[i] * data[i] end return math.sqrt(sum / n) end local function has_nan_inf(data, n) for i = 0, n-1 do local v = data[i] if v ~= v or v == math.huge or v == -math.huge then return true end end return false end local function compute_derivatives(vt, n) local hist = velocity_history if #hist == 0 then return 0, nil, nil end local v_prev = hist[#hist].vt local h1 = hist[#hist].dt if h1 == 0 then return 0, nil, nil end local dv = {} for i = 0, n-1 do dv[i] = (v_prev[i] - vt[i]) / h1 end local vt_rms = rms(vt, n) local dv_rms = rms(dv, n) if vt_rms > 0 and dv_rms * math.abs(h1) > 5 * vt_rms then return 0, nil, nil end if #hist < 2 then return 1, dv, nil end local v_prev2 = hist[#hist - 1].vt local h2 = hist[#hist - 1].dt if h2 == 0 then return 1, dv, nil end local denom = h1 * h2 * (h1 + h2) if math.abs(denom) < 1e-30 then return 1, dv, nil end local coeff = 2 / denom local d2v = {} for i = 0, n-1 do d2v[i] = coeff * (v_prev2[i] * h1 - v_prev[i] * (h1 + h2) + vt[i] * h2) end local d2v_rms = rms(d2v, n) if vt_rms > 0 and d2v_rms * h1 * h1 > 5 * vt_rms then return 1, dv, nil end return 2, dv, d2v end local function taylor_approx(vt, deriv_order, diff, dv, d2v, n) local out = {} if deriv_order >= 2 and d2v then local half_d2 = 0.5 * diff * diff for i = 0, n-1 do out[i] = vt[i] + diff * dv[i] + half_d2 * d2v[i] end elseif deriv_order >= 1 and dv then for i = 0, n-1 do out[i] = vt[i] + diff * dv[i] end else for i = 0, n-1 do out[i] = vt[i] end end return out end local function rkg2_b(j) if j <= 0 then return 1 end if j == 1 then return 1/3 end return 4 * (j - 1) * (j + 4) / (3 * j * (j + 1) * (j + 2) * (j + 3)) end local function rkg2_substep(xt, vt, s, t_curr, t_prev, deriv_order, dv, d2v, n) local dt = t_curr - t_prev local Y_j_2 = {}; local Y_j_1 = {}; local Y_j = {} for i = 0, n-1 do Y_j_2[i] = xt[i]; Y_j_1[i] = xt[i]; Y_j[i] = xt[i] end local s2ps = s * s + s - 2 for j = 1, s do if j == 1 then local mu_t = 6 / ((s + 4) * (s - 1)) for i = 0, n-1 do Y_j[i] = Y_j_1[i] - dt * mu_t * vt[i] end else local frac = (j == 2) and (4 / (3 * s2ps)) or ((j-1)*(j-1)+(j-1)-2) / s2ps local bj = rkg2_b(j); local bj1 = rkg2_b(j-1); local bj2 = rkg2_b(j-2) local mu = (2*j+1) * bj / (j * bj1) local nu = -(j+1) * bj / (j * bj2) local mu_t = mu * 6 / ((s+4)*(s-1)) local gamma_t = -mu_t * (1 - j*(j+1)*bj1/2) local diff = -frac * dt local vel = taylor_approx(vt, deriv_order, diff, dv, d2v, n) for i = 0, n-1 do Y_j[i] = mu*Y_j_1[i] + nu*Y_j_2[i] + (1-mu-nu)*xt[i] - dt*mu_t*vel[i] - dt*gamma_t*vt[i] end end for i = 0, n-1 do Y_j_2[i] = Y_j_1[i]; Y_j_1[i] = Y_j[i] end end return Y_j, not has_nan_inf(Y_j, n) end local function update_history(vt, n, dt) local rec = {vt = {}, dt = dt} for i = 0, n-1 do rec.vt[i] = vt[i] end table.insert(velocity_history, rec) while #velocity_history > 3 do table.remove(velocity_history, 1) end end function step(xt, vt, t_curr, t_prev, n) local dt = t_curr - t_prev if step_index == 0 then velocity_history = {} for i = 0, n-1 do xt[i] = xt[i] - vt[i] * dt end update_history(vt, n, dt) return end local deriv_order, dv, d2v = compute_derivatives(vt, n) local s = math.max((params and params.substeps) or 10, 2) local success = false; local result while s >= 2 do result, success = rkg2_substep(xt, vt, s, t_curr, t_prev, deriv_order, dv, d2v, n) if success then break end s = math.floor(s / 2) end if success then for i = 0, n-1 do xt[i] = result[i] end else for i = 0, n-1 do xt[i] = xt[i] - vt[i] * dt end end update_history(vt, n, dt) end