Numerical analysis in modern scientific computing : an introduction
Numerical analysis e-böcker
Springer
2003
Second edition
EISBN 9780387215846
Linear systems.
Error analysis.
Linear least-squares problems.
Nonlinear systems and lest-squares problems.
Linear eigenvalue problems.
Three-term recurrence relations.
Interpolation and approximation.
Large symmetric systems of equations and eigenvalue problems.
Definite integrals.
"This text will appeal to undergraduate and graduate students as well as researchers in mathematics, computer science, science, and engineering. At the same time, it is addressed to practical computational scientists who, via self-study, wish to become acquainted with modern concepts of numerical analysis and scientific computing on an elementary level. The sole prerequisite is undergraduate knowledge in linear algebra and calculus."--Jacket.
Error analysis.
Linear least-squares problems.
Nonlinear systems and lest-squares problems.
Linear eigenvalue problems.
Three-term recurrence relations.
Interpolation and approximation.
Large symmetric systems of equations and eigenvalue problems.
Definite integrals.
"This text will appeal to undergraduate and graduate students as well as researchers in mathematics, computer science, science, and engineering. At the same time, it is addressed to practical computational scientists who, via self-study, wish to become acquainted with modern concepts of numerical analysis and scientific computing on an elementary level. The sole prerequisite is undergraduate knowledge in linear algebra and calculus."--Jacket.
