Symbolic-Numeric Computations for Problem-Solving in Physical Chemistry and Biochemistry
Johannes Grotendorst, Jürgen Dornseiffer, Siegfried Michael Schoberth · Birkhäuser Boston eBooks · 1994
This article presents two illustrative examples, from Physical Chemistry and Biochemistry, showing how the use of modern computing tools such as Maple changes the approach to solving mathematical problems in science. The concept of scientific computation has evolved from a field encompassing primarily numerical methods to a much broader field that includes algebraic and analytical methods, numerical methods, and graphics. The combination of all these computing techniques facilitates efficient and accurate problem-solving. It allows the development of software systems for the automatic solution of problems in ways that are not possible with conventional computing systems. Figure 1 displays typical steps in a computerized solution process. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.