This book is a practical introduction to scientific computing and offers
BPSIC subroutines, suitable for use on a perscnal complter, for solving a
number of important problems in the areas of chmistry, biology and
pharmacology. Althcugh our text is advanced in its category, we assume only
that you have the normal mathmatical preparation associated with an
undergraduate degree in science, and that you have some familiarity with the
S I C programing language.
Spreadsheets provide one of the most easily learned routes to scientific computing. This book uses Excel®, the most powerful spreadsheet available, to explore and solve problems in general and chemical data analysis. It follows the usual sequence of college textbooks in analytical chemistry: statistics, chemical equilibria, pH calculations, titrations, and instrumental methods such as chromatography, spectrometry, and
Tham khảo sách 'matlab – a fundamental tool for scientific computing and engineering applications – volume 2', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
The aim of this book is to teach computer programming using examples
from mathematics and the natural sciences. We have chosen to use
the Python programming language because it combines remarkable expressive
power with very clean, simple, and compact syntax. Python is
easy to learn and very well suited for an introduction to computer programming.
Python is also quite similar to Matlab and a good language
for doing mathematical computing. It is easy to combine Python with
compiled languages, like Fortran, C, and C++, which are widely used
languages for scientific computations.