04418nam 22006495 450 991025430230332120200630095148.03-319-61282-410.1007/978-3-319-61282-9(CKB)4100000000586891(DE-He213)978-3-319-61282-9(MiAaPQ)EBC5050090(PPN)204534372(EXLCZ)99410000000058689120170919d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierNovel Methods in Computational Finance /edited by Matthias Ehrhardt, Michael Günther, E. Jan W. ter Maten1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XVIII, 606 p. 194 illus., 93 illus. in color.) The European Consortium for Mathematics in Industry ;253-319-61281-6 Includes bibliographical references and index.This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and reviews of the work from the STRIKE project, an FP7 Marie Curie Initial Training Network (ITN) project in which academic partners trained early-stage researchers in close cooperation with a broader range of associated partners, including from the private sector. The aim of the project was to arrive at a deeper understanding of complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This was accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models. In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed tremendous growth. Advanced numerical techniques are now essential to the majority of present-day applications in the financial industry. Special attention is devoted to a uniform methodology for both testing the latest achievements and simultaneously educating young PhD students. Most of the mathematical codes are linked into a novel computational finance toolbox, which is provided in MATLAB and PYTHON with an open access license. The bookoffers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.The European Consortium for Mathematics in Industry ;25Partial differential equationsGame theoryEconomics, Mathematical Computer mathematicsProbabilitiesPartial Differential Equationshttps://scigraph.springernature.com/ontologies/product-market-codes/M12155Game Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Quantitative Financehttps://scigraph.springernature.com/ontologies/product-market-codes/M13062Computational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XProbability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Partial differential equations.Game theory.Economics, Mathematical .Computer mathematics.Probabilities.Partial Differential Equations.Game Theory, Economics, Social and Behav. Sciences.Quantitative Finance.Computational Mathematics and Numerical Analysis.Probability Theory and Stochastic Processes.515.353Ehrhardt Matthiasedthttp://id.loc.gov/vocabulary/relators/edtGünther Michaeledthttp://id.loc.gov/vocabulary/relators/edtter Maten E. Jan Wedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910254302303321Novel Methods in Computational Finance1562249UNINA