Code library:: azimuthal.m - Azimuthal angle sampling; ccylz.m - Calculates the distance to a cylinder of radius R concentric and aligned with the z-axis; cgkernel.m - Generic transport kernel for a combinatorial geometry; ellipsoid.m - Calculates the distance to an ellipsoid centered at an arbitrary point; plane.m - Calculates the distance of a particle to a planar surface normal to the z-axis; quadric.m - Calculates the first positive distance to an arbitrary quadric surface; rotate.m - Deflects direction vector into a random azimuthal angle about it's polar scattering angle; rutherford.m - Samples the Rutherford distribution for a given screening parameter a; sphere.m - Calculates the distance to a sphere of radius R centered at an arbitrary point; xplane.m - Calculates the distance of a particle to a planar surface normal to the x-axis; yplane.m - Calculates the distance of a particle to a planar surface normal to the y-axis; zplane.m - Calculates the distance of a particle to a planar surface normal to the z-axis

Lecture 8:: p1p2c1es1.m - Escape zone strategy 1, for a right circular cyclindrical solid; p1p2c1es2.m - Escape zone strategy 2, for a right circular cyclindrical solid; p1p2c1es3.m - Escape zone strategy 3, for a right circular cyclindrical solid; zplanes3a.m - Geometry example: 3 parallel planes, 1 cylinder, simple interacting beam

Lecture 7:: track2plane.m - Demonstrates tracking to a plane; track2sphere.m - Demonstrates tracking to a sphere; Track2sphere.m - Demonstrates tracking to a sphere with much diagnostic output; track2quadric.m - Demonstrates tracking to all of the quadric2, double and even single planes; zplanes3.m - Geometry example: 3 parallel planes, non-interacting beam; zplanesN.m - Geometry example: N parallel planes, non-interacting beam; zplanes3a.m - Geometry example: 3 parallel planes, 1 cylinder, simple interacting beam

Lecture 4:: zrotphi.m - Demonstrates axis rotation; randomWalks.m - Random walks simulations

Lecture 2:: mcrng32.cpp - A 32-bit MCRNG: Multiplicative Congruential Random Number Generator; lcrng32.cpp - A 32-bit LCRNG: Linear Congruential Random Number Generator; mcrng64.cpp - A 64-bit MCRNG: Multiplicative Congruential Random Number Generator; conv.cpp - Solution to Problem 1 in Chapter 3: converting random int to real; tt.cpp - "Torture Test" for critical functions used in Monte Carlo; rand0.cpp - Basic rand() default functionality in C; rand1.cpp - Basic rand() functionality in C: reseeding; rand2.cpp - Basic rand() functionality in C: reseeding "randomly" (from the system clock); rand3.cpp - Conversion to doubles using C default rand(); randomPi.cpp - Determining Pi by random dart tossing; randomIn.cpp - 1D integration using MC; randTrill.cpp - Beat the clock, MC style (just for fun)