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diff --git a/notebook/lbm_codegen.ipynb b/notebook/lbm_codegen.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sympy import *\n",
+    "init_printing()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Characteristic constants"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "q = 9\n",
+    "d = 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c = [Matrix(x) for x in [(-1, 1), ( 0, 1), ( 1, 1), (-1, 0), ( 0, 0), ( 1, 0), (-1,-1), ( 0, -1), ( 1, -1)]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$$\\left [ \\left[\\begin{matrix}-1\\\\1\\end{matrix}\\right], \\quad \\left[\\begin{matrix}0\\\\1\\end{matrix}\\right], \\quad \\left[\\begin{matrix}1\\\\1\\end{matrix}\\right], \\quad \\left[\\begin{matrix}-1\\\\0\\end{matrix}\\right], \\quad \\left[\\begin{matrix}0\\\\0\\end{matrix}\\right], \\quad \\left[\\begin{matrix}1\\\\0\\end{matrix}\\right], \\quad \\left[\\begin{matrix}-1\\\\-1\\end{matrix}\\right], \\quad \\left[\\begin{matrix}0\\\\-1\\end{matrix}\\right], \\quad \\left[\\begin{matrix}1\\\\-1\\end{matrix}\\right]\\right ]$$"
+      ],
+      "text/plain": [
+       "⎡⎡-1⎤  ⎡0⎤  ⎡1⎤  ⎡-1⎤  ⎡0⎤  ⎡1⎤  ⎡-1⎤  ⎡0 ⎤  ⎡1 ⎤⎤\n",
+       "⎢⎢  ⎥, ⎢ ⎥, ⎢ ⎥, ⎢  ⎥, ⎢ ⎥, ⎢ ⎥, ⎢  ⎥, ⎢  ⎥, ⎢  ⎥⎥\n",
+       "⎣⎣1 ⎦  ⎣1⎦  ⎣1⎦  ⎣0 ⎦  ⎣0⎦  ⎣0⎦  ⎣-1⎦  ⎣-1⎦  ⎣-1⎦⎦"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w = [Rational(*x) for x in [(1,36), (1,9), (1,36), (1,9), (4,9), (1,9), (1,36), (1,9), (1,36)]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/latex": [
+       "$$\\left [ \\frac{1}{36}, \\quad \\frac{1}{9}, \\quad \\frac{1}{36}, \\quad \\frac{1}{9}, \\quad \\frac{4}{9}, \\quad \\frac{1}{9}, \\quad \\frac{1}{36}, \\quad \\frac{1}{9}, \\quad \\frac{1}{36}\\right ]$$"
+      ],
+      "text/plain": [
+       "[1/36, 1/9, 1/36, 1/9, 4/9, 1/9, 1/36, 1/9, 1/36]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "w"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAA0AAAASCAYAAACAa1QyAAAABHNCSVQICAgIfAhkiAAAAHZJREFUKJFjYKACCGFgYJjMwMBwmIGB4RMDA8N/BgaGJYQ0XYAq/MzAwHCdWE2ODAwMqgwMDIwMDAwOuDSxoPH3EzKVgYGBgYkYRaOaBlwTeuQGQDEDAwODBJS2ZGBgWABlv2FgYChBN6SBAZJ0cOEH5LiMzgAA6XoX52TB9a4AAAAASUVORK5CYII=\n",
+      "text/latex": [
+       "$$1$$"
+      ],
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAADEAAAAdCAYAAAAD8oRRAAAABHNCSVQICAgIfAhkiAAAAi9JREFUWIXt1t2LTVEYx/GPGTTFNJkhk5SoKeRCopAkaoSkhD/BtXArLrwkF8pbjQvuKcqUuZIkbpTxFlFKTSF5yUthzMTF2jNzzmnvffY5Z585Ls63dmu113p+63n2evazFk3+D6ZUOL8d3xq4fi7swuZGLJwn5zC90U6U0lLB3NboGa6TL1VTSRBrcb9ejkwWJ9DVaCfiqGQnuvCpXo7UQtYgevAyYewkbmEIP/EZgzgs+87NxSjOVKObtU4fQD9exYwN4yGe4wNmYDVW4m3UHyqjvxd92IjbOeoW0Zcy1pbw/hj+4kIG/QF8FKpfxbqF6dSCo9hSYtQp/V/4lfD+StT2pNhCh7AD/UJKVaxbGEQv1mB3idFW3CzjSBzbo/ZJmXnbhAP0Wl66y4X8KwzuvGwF4CCO4DTuClv+GHPK2F3FD8npU5XuG6yL+tMUV4w03kcLjD0DQtVJow3fhUCq1o37wjewI+pvwJ0yjozRLVS7buzEIqEkrkix6cVMXM9Z1yYTpfRUtEg1LMBvPEuZczma05Gzrqn4giWylcc0BoUUmB0z1iqU1YFadePSaUSoRofwtIoFCpkXtaMxY+uFkzctlarRHWePEOn8MmKLhVwtpcXEoXQvwfZs5ETcz1+L7jjtsl279+GPcMe5KNx0L+F1tNA7LE2wHRJKZt66RczKMGeZcI48EvJ7BF/xQKjtnQl2qyJn9uesO6kcF4JY2GhHauGF8JWbNGlSB/4BwBaSc+fGZlwAAAAASUVORK5CYII=\n",
+      "text/latex": [
+       "$$\\frac{\\sqrt{3}}{3}$$"
+      ],
+      "text/plain": [
+       "√3\n",
+       "──\n",
+       "3 "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c_s = sqrt(Rational(1,3))\n",
+    "c_s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Moments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rho, tau = symbols('rho tau')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([f_next_0, f_next_1, f_next_2, f_next_3, f_next_4, f_next_5,\n",
+       "       f_next_6, f_next_7, f_next_8], dtype=object)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "f_next = symarray('f_next', q)\n",
+    "f_next"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([f_curr_0, f_curr_1, f_curr_2, f_curr_3, f_curr_4, f_curr_5,\n",
+       "       f_curr_6, f_curr_7, f_curr_8], dtype=object)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "f_curr = symarray('f_curr', q)\n",
+    "f_curr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$$\\left[\\begin{matrix}u_{0}\\\\u_{1}\\end{matrix}\\right]$$"
+      ],
+      "text/plain": [
+       "⎡u₀⎤\n",
+       "⎢  ⎥\n",
+       "⎣u₁⎦"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "u = Matrix(symarray('u', d))\n",
+    "u"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sympy.codegen.ast import Assignment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/latex": [
+       "$$\\left [ Assignment(rho, f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr_6 + f_curr_7 + f_curr_8)\\right ]$$"
+      ],
+      "text/plain": [
+       "[ρ := f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr\n",
+       "_6 + f_curr_7 + f_curr_8]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "moments = [ Assignment(rho, sum(f_curr)) ]\n",
+    "moments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/latex": [
+       "$$\\left [ Assignment(rho, f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr_6 + f_curr_7 + f_curr_8), \\quad Assignment(u_0, (-f_curr_0 + f_curr_2 - f_curr_3 + f_curr_5 - f_curr_6 + f_curr_8)/(f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr_6 + f_curr_7 + f_curr_8)), \\quad Assignment(u_1, (f_curr_0 + f_curr_1 + f_curr_2 - f_curr_6 - f_curr_7 - f_curr_8)/(f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr_6 + f_curr_7 + f_curr_8))\\right ]$$"
+      ],
+      "text/plain": [
+       "⎡                                                                             \n",
+       "⎢ρ := f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr\n",
+       "⎣                                                                             \n",
+       "\n",
+       "                                                -f_curr_0 + f_curr_2 - f_curr_\n",
+       "_6 + f_curr_7 + f_curr_8, u₀ := ──────────────────────────────────────────────\n",
+       "                                f_curr_0 + f_curr_1 + f_curr_2 + f_curr_3 + f_\n",
+       "\n",
+       "3 + f_curr_5 - f_curr_6 + f_curr_8                                        f_cu\n",
+       "──────────────────────────────────────────────────, u₁ := ────────────────────\n",
+       "curr_4 + f_curr_5 + f_curr_6 + f_curr_7 + f_curr_8        f_curr_0 + f_curr_1 \n",
+       "\n",
+       "rr_0 + f_curr_1 + f_curr_2 - f_curr_6 - f_curr_7 - f_curr_8                 ⎤\n",
+       "────────────────────────────────────────────────────────────────────────────⎥\n",
+       "+ f_curr_2 + f_curr_3 + f_curr_4 + f_curr_5 + f_curr_6 + f_curr_7 + f_curr_8⎦"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "for i, u_i in enumerate(u):\n",
+    "    moments.append(Assignment(u_i, sum([ (c_j*f_curr[j])[i] for j, c_j in enumerate(c) ]) / sum(f_curr)))\n",
+    "\n",
+    "moments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/latex": [
+       "$$5 ADD + 3 ASSIGNMENT + 8 MUL + 2 POW$$"
+      ],
+      "text/plain": [
+       "5⋅ADD + 3⋅ASSIGNMENT + 8⋅MUL + 2⋅POW"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "count_ops(moments, visual=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/latex": [
+       "$$\\left ( \\left [ \\left ( m_{0}, \\quad f_{curr 3} + f_{curr 6}\\right ), \\quad \\left ( m_{1}, \\quad f_{curr 1} + f_{curr 2}\\right ), \\quad \\left ( m_{2}, \\quad f_{curr 0} + f_{curr 4} + f_{curr 5} + f_{curr 7} + f_{curr 8} + m_{0} + m_{1}\\right ), \\quad \\left ( m_{3}, \\quad \\frac{1}{m_{2}}\\right ), \\quad \\left ( m_{4}, \\quad f_{curr 0} - f_{curr 8}\\right )\\right ], \\quad \\left [ Assignment(rho, m2), \\quad Assignment(u_0, -m3*(-f_curr_2 - f_curr_5 + m0 + m4)), \\quad Assignment(u_1, m3*(-f_curr_6 - f_curr_7 + m1 + m4))\\right ]\\right )$$"
+      ],
+      "text/plain": [
+       "⎛⎡                                                                            \n",
+       "⎜⎢(m₀, f_curr_3 + f_curr_6), (m₁, f_curr_1 + f_curr_2), (m₂, f_curr_0 + f_curr\n",
+       "⎝⎣                                                                            \n",
+       "\n",
+       "                                                ⎛    1 ⎞                      \n",
+       "_4 + f_curr_5 + f_curr_7 + f_curr_8 + m₀ + m₁), ⎜m₃, ──⎟, (m₄, f_curr_0 - f_cu\n",
+       "                                                ⎝    m₂⎠                      \n",
+       "\n",
+       "     ⎤                                                                        \n",
+       "rr_8)⎥, [ρ := m₂, u₀ := -m₃⋅(-f_curr_2 - f_curr_5 + m₀ + m₄), u₁ := m₃⋅(-f_cur\n",
+       "     ⎦                                                                        \n",
+       "\n",
+       "                          ⎞\n",
+       "r_6 - f_curr_7 + m₁ + m₄)]⎟\n",
+       "                          ⎠"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "moments_opt = cse(moments, optimizations='basic', symbols=numbered_symbols(prefix='m'))\n",
+    "moments_opt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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