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Mathematics; Handbooks, manuals, etc

Most popular at the top

  • Applied Research in Uncertainty Modeling and Analysisby Nii O. Attoh-Okine

    Springer 2007; US$ 119.99

    Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. Uncertainty has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous and more tools that model uncertainty than statistics... more...

  • Nonlinear Optimization with Financial Applicationsby Michael Bartholomew-Biggs

    Springer 2005; US$ 114.00

    The book introduces the key ideas behind practical nonlinear optimization. Computational finance ? an increasingly popular area of mathematics degree programs ? is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However, this material... more...

  • Handbook of Combinatorial Optimizationby Ding-Zhu Du

    Springer 2006; US$ 179.99

    This is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set, as well as the Supplement Volume A. It can also be regarded as a stand-alone volume which presents chapters dealing with various aspects of the subject, including optimization problems and algorithmic approaches for discrete problems more...

  • Canonical Problems in Scattering and Potential Theory Part 1by S.S. Vinogradov

    CRC Press 2001; US$ 179.95

    This title is the first of a two-volume set that describes a breakthrough in analytical techniques for accurately determining diffraction from classes of canonical scatterers with comprising edges and other complex cavity features. more...

  • Canonical Problems in Scattering and Potential Theory Part IIby S.S. Vinogradov

    CRC Press 2002; US$ 139.95

    This second volume in a two-part set develops the approach given in the first volume to analyze the diffraction of acoustic and electromagnetic waves from several classes of open structures with edges or cavities. The approach is based on transformations connected with Abel's integral equation to invert a singular part of the operator defining the more...

  • Chebyshev Polynomialsby J.C. Mason

    CRC Press 2002; US$ 149.95

    Providing a readable exposition on the subject's state of the art, this title includes coverage of the theory along with an in-depth look at the properties of all four kinds of Chebyshev polynomials. more...

  • Control and Boundary Analysisby John Cagnol

    CRC Press 2005; US$ 219.95

    Cagnol (P le Universitaire L onard de Vinci, France) and Zol sion (French National Institute for Research in Computer Science and Control) gather selected papers from the 21st Conference on System Modeling and Optimization, held in Sophia Antipolis, France. The papers pertain to moving boundary and boundary control systems described by partial diff more...

  • Control Theory of Partial Differential Equationsby Oleg Imanuvilov

    CRC Press 2005; US$ 219.95

    In these materials from the conference of May-June 2003, contributors of these 23 papers describe their work at the theoretical and application levels in this discipline that has recently expanded considerably by more realistic models. General topics include elasticity, thermo-elasticity, aero-elasticity, interactions between fluids and elastic str more...

  • Generation of Multivariate Hermite Interpolating Polynomialsby Santiago Alves Tavares

    CRC Press 2005; US$ 139.95

    Alves Tavares (University of Florida) develops the approximate solution of differential equations that can be expanded on a basis of polynomials, where all derivatives up to a predefined order can be specified at the boundaries. The book also defines an ordering relation for the constrained numbers and provides algorithms to expand the derivative o more...

  • A Kalman Filter Primerby R.L. Eubank

    CRC Press 2005; US$ 37.95

    Eubank (mathematics and statistics, Arizona State U.) offers a self-contained, concise rigorous derivation of all the basic Kalman filter recursions from first principles. He lays out the basic prediction problem for signal-plus-noise models, deriving the Gramm-Schmidt algorithm and Cholesky decomposition. He covers the fundamental covariance struc more...