Scientific Computing for Scientists and Engineers is designed to teach undergraduate students
relevant numerical methods and required fundamentals in scientific computing. Most problems in
science and engineering require the solution of mathematical problems most of which can only
be done on a computer. Accurately approximating those problems requires solving differential
equations and linear systems with millions of unknowns and smart algorithms can be used on
computers to reduce calculation times from years to minutes or even seconds. This book
explains: How can we approximate these important mathematical processes? How accurate are our
approximations? How efficient are our approximations? Scientific Computing for Scientists and
Engineers covers: An introduction to a wide range of numerical methods for linear systems
eigenvalue problems differential equations numerical integration and nonlinear problems
Scientific computing fundamentals like floating point representation of numbers and convergence
Analysis of accuracy and efficiency Simple programming examples in MATLAB to illustrate the
algorithms and to solve real life problems Exercises to reinforce all topics.
