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Serie: Classics in applied
PaperbackEngels9780898715446
1-1-1987
Numerical continuation methods have provided important contributions toward the numerical solution of nonlinear systems of equations for many years. The methods may be used not only to compute solutions, which might otherwise be hard to obtain, but also to gain insight into qualitative properties of the solutions. Meer
PaperbackEngels9780898715545
1-2-2005
Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. Connections are made between diverse biological examples linked by common mathematical themes, exploring a variety of discrete and continuous ordinary and partial differential equation models. Meer
PaperbackEngels9780898718966
25-11-2010
Concavity of a function is used as a hypothesis in most of the important theorems concerning extremum problems in mathematical economics, optimization, engineering and management science. Meer
PaperbackEngels9780898718973
11-11-2010
Although Normal Approximation and Asymptotic Expansions was first published in 1976, it has gained new significance and renewed interest among statisticians due to the developments of modern statistical techniques such as the bootstrap, the efficacy of which can be ascertained by asymptotic expansions. Meer
PaperbackEngels9781611970722
26-5-2011
This revised edition discusses numerical methods for computing the eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Meer
PaperbackEngels9781611970746
7-7-2011
This classic text presents the best practices of developing multigrid solvers for large-scale computational problems in science and engineering. By representing a problem at multiple scales and employing suitable interscale interactions, multigrid avoids slowdown due to stiffness and reduces the computational cost of classical algorithms by orders of magnitude. Meer
PaperbackEngels9781611971910
28-7-2011
A concise introduction to computational methods for solving large linear systems of equations. This is the only textbook that treats iteration methods for symmetric linear systems from a polynomial point of view. Meer
PaperbackEngels9781611972023
20-10-2011
This classic text focuses on elliptic boundary value problems in domains with nonsmooth boundaries and on problems with mixed boundary conditions. Its contents are essential for an understanding of the behavior of numerical methods for partial differential equations (PDEs) on two-dimensional domains with corners. Meer
PaperbackEngels9781611972184
26-4-2012
Originally published in 1988, this classic text treats the identification of noisy (multi-input and multi-output) linear systems, particularly systems in ARMAX and state space form. Meer
PaperbackEngels9781611973877
6-8-2015
Originally published in 1969, this classic textbook provides a solid foundation for learning about dynamical systems, and encourages students to develop a reliable intuition for problem solving. Meer
PaperbackEngels9781611974256
25-2-2016
Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with applications in several branches of engineering and in areas of the social sciences concerned with policy analysis and prescription. Meer
PaperbackEngels9781611974515
27-10-2016
To quote a review by W. Ledermann in the Physics Bulletin, 'By skilfully blending the points of view of pure and applied mathematics, of physics, and of numerical methods, Professor Lanczos has succeeded in writing a book on Fourier series which is highly readable and informative. Meer
PaperbackEngels9781611972450
3-1-2013
This revised edition of a classic textbook provides a complete guide to the calculation of eigenvalues of matrices. Written at an accessible level, this modern exposition of the subject presents fundamental aspects of the spectral theory of linear operators in finite dimension. Meer