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Linear Programming

Most popular at the top

  • Robust Static Super-Replication of Barrier Optionsby Jan H. Maruhn

    De Gruyter 2009; US$ 196.00

    Static hedge portfolios for barrier options are very sensitive with respect to changes of the volatility surface. To prevent potentially significant hedging losses this book develops a static super-replication strategy with market-typical robustness against volatility, skew and liquidity risk as well as model errors. Empirical results and... more...

  • Short-Memory Linear Processes and Econometric Applicationsby Kairat T. Mynbaev

    Wiley 2011; US$ 145.00 US$ 130.50

    This book serves as a comprehensive source of asymptotic results for econometric models with deterministic exogenous regressors. Such regressors include linear (more generally, piece-wise polynomial) trends, seasonally oscillating functions, and slowly varying functions including logarithmic trends, as well as some specifications of spatial matrices... more...

  • Stochastic Control and Mathematical Modelingby Hiroaki Morimoto

    Cambridge University Press 2010; US$ 116.00

    Introduces stochastic control and mathematical modelling to researchers and graduate students in applied mathematics, mathematical economics, and non-linear PDE theory. more...

  • Oscillation Theory of Operator-Differential Equationsby D. Bainov; D. Mishev

    World Scientific Publishing Company 1995; US$ 79.00 US$ 71.89

    In this book, the authors aim at expounding a sufficiently rich oscillation theory and asymptotic theory of operator-differential equations. This book will be of interest not only to mathematicians, but also to experts in other areas of science and technology due to the numerous applications of the results discussed in the book. more...

  • Recent Advances in Nonsmooth Optimizationby Ding-Zhu Du

    World Scientific Publishing Company 1995; US$ 101.00 US$ 91.91

    Nonsmooth optimization covers the minimization or maximization of functions which do not have the differentiability properties required by classical methods. The field of nonsmooth optimization is significant, not only because of the existence of nondifferentiable functions arising directly in applications, but also because several important methods... more...

  • Science Siftingby Rodney R. Dietert; Janice Dietert

    World Scientific Publishing Company 2013; US$ 30.00 US$ 27.30

    Science Sifting is designed primarily as a textbook for students interested in research and as a general reference book for existing career scientists. The aim of this book is to help budding scientists broaden their capacities to access and use information from diverse sources to the benefit of their research careers.The book describes why the capacity... more...

  • Probabilistic Risk Analysisby Tim Bedford; Roger Cooke

    Cambridge University Press 2001; US$ 96.00

    A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers. more...

  • Optimization Theory with Applicationsby Donald A. Pierre

    Dover Publications 2012; US$ 22.95

    Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition. more...

  • Convex Analysisby Ralph Tyrell Rockafellar

    Princeton University Press 2015; US$ 110.00 US$ 100.10

    Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions.... more...

  • Random Matrices and Random Partitionsby Zhonggen Su

    World Scientific Publishing Company 2015; US$ 85.00 US$ 77.35

    This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random partitions. It mainly consists of three parts. Part I is a brief review of classical central limit theorems for sums of independent random variables, martingale differences sequences and Markov chains, etc. These... more...