C For Engineers And Scientists

The Purpose of This Text This text has been written in response to two trends that have gained considerable momentum over the past few years. The first is the decision by many undergraduate engineering and science departments to abandon the traditional programming course based on the aging Fortran 77 standard. This decision is not surprising, considering the more modem features found in languages such as Pascal and C. However, Pascal never developed a strong following in scientific computing, and its use is in decline. The new Fortran 90 standard defines a powerful, modem language, but this long-overdue redesign of Fortran has come too late to prevent many colleges and universities from switching to C. The acceptance of C by scientists and engineers is based perhaps as. much on their perceptions of C as an important language, which it certainly is, and on C programming experience as a highly marketable skill, as it is on the suitability of C for scientific computation. For whatever reason, C or its derivative C++ is now widely taught as the first and often only programming language for undergraduates in science and engineering.

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or Stata combined with the speed, capacity, and performance of C, C++, or Java. You’ll learn the OOP principles required to get you started, then how to do basic mathematics with Julia. Other core functionality of Julia that you’ll cover, includes working with complex numbers, rational and irrational numbers, rings, and fields.