Home » Introduction to Numerical Analysis and Scientific Computing
Product Image

Introduction to Numerical Analysis and Scientific Computing

Nabil Nassif | Dolly Khuwayri Fayyad
€132.99
Quantity:
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Dolly Khuwayri Fayyad
A01=Nabil Nassif
Adaptive Numerical Integration
Advanced Numerical Integration
Author_Dolly Khuwayri Fayyad
Author_Nabil Nassif
Back Substitution
Bisection Method
Category=UYM
Composite Simpson's Rule
computer arithmetic
Convex Polygonal Domains
Cubic Spline
Denormalized Numbers
Divided Difference Table
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Floating Point
Floating Point Number Representations
Floating Point System
Gauss Reduction
Gaussian elimination
IEEE Double Precision
IEEE Single Precision
Index Vector
Interpolating Polynomial
Lagrange interpolation
Linear Spline
LU Decomposition
MATLAB programming exercises
Natural Cubic Spline
Newton's Method
nonlinear equations
numerical analysis for engineering students
numerical linear algebra
Numerical Mathematics
ordinary differential equations
Pivot Equation
Polygonal Domain
Program Numerical Methods
Quadratic Spline
Quadratic Spline Function
round-off error analysis
Scientific Computer Environments
spline fitting
Spline Interpolant
Unit Lower Triangular Matrix

Product details

  • ISBN 9781466589483
  • Weight: 589g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Aug 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

Designed for a one-semester course, Introduction to Numerical Analysis and Scientific Computing presents fundamental concepts of numerical mathematics and explains how to implement and program numerical methods. The classroom-tested text helps students understand floating point number representations, particularly those pertaining to IEEE simple and double-precision standards as used in scientific computer environments such as MATLAB® version 7.

Drawing on their years of teaching students in mathematics, engineering, and the sciences, the authors discuss computer arithmetic as a source for generating round-off errors and how to avoid the use of algebraic expression that may lead to loss of significant figures. They cover nonlinear equations, linear algebra concepts, the Lagrange interpolation theorem, numerical differentiation and integration, and ODEs. They also focus on the implementation of the algorithms using MATLAB®.

Each chapter ends with a large number of exercises, with answers to odd-numbered exercises provided at the end of the book. Throughout the seven chapters, several computer projects are proposed. These test the students' understanding of both the mathematics of numerical methods and the art of computer programming.
About Dolly Khuwayri Fayyad | Nabil Nassif
Nabil Nassif received a Diplôme-Ingénieur from the Ecole Centrale de Paris and earned a master's degree in applied mathematics from Harvard University, followed by a PhD under the supervision of Professor Garrett Birkhoff. Since his graduation, Dr. Nassif has been affiliated with the Mathematics Department at the American University of Beirut, where he teaches and conducts research in the areas of mathematical modeling, numerical analysis and scientific computing. Professor Nassif has authored or co-authored about 50 publications in refereed journals and directed 12 PhD theses with an equal number of master's theses. During his career, Professor Nassif has also held several regular and visiting teaching positions in France, Switzerland, U.S.A. and Sweden. Dolly Khoueiri Fayyad received her BSc and master's degrees from the American University of Beirut and her PhD degree from the University of Reims in France under the supervision of Professor Nabil Nassif. After earning her doctorate degree and before becoming a faculty member in the Mathematics Department of the American University of Beirut, she taught at the University of Louvain-la-Neuve in Belgium and then in the Sciences Faculty of Lebanon National University. Simultaneously, Dr. Fayyad has conducted research on the numerical solution of time-dependent partial differential equations and more particularly on semi-linear parabolic equations. She has also supervised several master's theses in her research areas.

More from this author