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CS 3200 - Introduction to Scientific Computing


Because there does not exist a single book that covers all the materials we will cover in this class, we will use a combination of class notes, class lecture slides, and books and other references. Here is a list of those additional books and on-line resources that cover many of the topics covered in CS 3200.

Please report broken links or new resources to teach-cs3200@list.eng.utah.edu.

Books

  • Numerical Computing with Matlab This book is a very nice overview of numerical analysis with several examples using Matlab. The book is available for free on-line. The Matlab codes used in the book are also available on-line.
  • Scientific Computing: An Introductory Survey, Second Edition by Michael T. Heath, published by McGraw-Hill, New York, 2002.
  • Guide To Scientific Computing, Second Edition by Peter R. Turner, published by CRC Press, 2000.
  • Introduction to Computational Science: Modeling and Simulation for the Sciences by Angela B. Shiflet and George Shiflet, Princeton University Press, 2006.
  • Scientific Computing with MATLAB by Alfio Quarteroni and Fausto Saleri, Springer, 2003.
  • MATLAB Guide by Desmond J. Higham and Nicholas J. Higham, SIAM Press, 2005.
  • Mastering MATLAB 7 by Duane C. Hanselman and Bruce L. Littlefield, Prentice Hall, 2004.
  • Octave - an open source, freely available alternative to Matlab
  • The Visualization Handbook. edited by Charles Hansen and Chris Johnson, Academic Press, 2004.
  • Visualization Toolkit 4th Edition by Will Schroeder, Ken Martin and Bill Lorenson, Kitware, 2006.
  • The Nature of Mathematical Modeling by Neil Gershenfeld, Cambridge University Press, 1998.
  • Python Scripting for Computational Science by Hans Petter Langtangen, Springer, 2004.
  • Python Essential Reference (3rd Edition) by David M. Beazley, Sams, 2006.
  • SCIRun Software System: A scientific problem solving environment for modeling, simulation and visualization developed by the Scientific Computing and Imaging Institute at the University of Utah.
  • Links to Scientific Computing Software collected by Michael Heath of UIUC.
  • Links to large integer arithmetic packages
  • Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation by George Em Karniadakis and Robert M. Kirby, Cambridge University Press, 2003.
  • Scientific Parallel Computing by L. Ridgway Scott, Terry Clark, Babak Bagheri, Princeton University Press, 2005.
  • Introduction to High-Performance Scientific Computing by Lloyd D. Fosdick, Elizabeth R. Jessup, Carolyn J. C. Schauble, and Gitta Domik, MIT Press, 1996.

gnuplot


MATLAB


SciPy


General Mathematical Resources


Random Numbers


Errors


Vector and Matrix Basics


Interpolation


Forward Euler


Monte Carlo


Numerical Integration


1D Finite Difference Method (Heat Equation)


2D Finite Difference Method (Poisson's Equation)


Iterative Solvers


Steepest Descent and Conjugate Gradient Method


Meshing


Delaunay Triangulation and Voronoi Diagrams


Points Inside Triangles


Scalar Field Visualization


Volume Rendering


Vector Field Visualization