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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juni 2006
Genre:	Schulbücher
	advanced engineering problem solving / Computational Mathematics / eigenvalue computation / finite difference methods / FORTRAN programming / MATHEMATICS / Applied / Maths for engineers / Maths for scientists / nonlinear equation solvers / Numerical integration techniques mehr...
ISBN:	9781584884019
EAN-Code:	9781584884019
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D 32 mm
Gewicht:	838 gr
Seiten:	492
Illustration:	schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Although pseudocodes, Mathematica®, and MATLAB® illustrate how algorithms work, designers of engineering systems write the vast majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods for Engineers, Second Edition provides an introduction to numerical methods, incorporating theory with concrete computing exercises and programmed examples of the techniques presented. Covering a wide range of numerical applications that have immediate relevancy for engineers, the book describes forty-nine programs in Fortran 95. Many of the programs discussed use a sub-program library called nm_lib that holds twenty-three subroutines and functions. In addition, there is a precision module that controls the precision of calculations. Well-respected in their field, the authors discuss a variety of numerical topics related to engineering. Some of the chapter features include... The numerical solution of sets of linear algebraic equations Roots of single nonlinear equations and sets of nonlinear equations Numerical quadrature, or numerical evaluation of integrals An introduction to the solution of partial differential equations using finite difference and finite element approaches Describing concise programs that are constructed using sub-programs wherever possible, this book presents many different contexts of numerical analysis, forming an excellent introduction to more comprehensive subroutine libraries such as the numerical algorithm group (NAG).