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    • All of statistics : a concise course in statistical inference 

      Wasserman, Larry A. (Springer, 2004)
      This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book ...

    • An introduction to partial differential equations 

      Pinchover, Yehuda; Rubinstein, Jacob (Cambridge University Press, 2005)
      A complete introduction to partial differential equations, this textbook provides a rigorous yet accessible guide to students in mathematics, physics and engineering. The presentation is lively and up to date, paying ...

    • An introduction to stochastic modeling 

      Taylor, Howard M.; Karlin, Samuel (Academic Press, 1998)

    • An introduction to stochastic modeling 

      Pinsky, Mark A.; Karlin, Samuel (Elsevier Inc., 2011)
      The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to ...

    • Applied numerical methods with MATLAB for engineers and scientists 

      Chapra, Steven C. (McGraw-Hill, 2018)
      This book is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, ...

    • Applied statistics : using SPSS, STATISTICA, MATLAB and R 

      Marques de Sá, Joaquim P. (Springer, 2007)

    • Calculus : early transcendentals 

      Stewart, James (Cengage Learning, 2016)

    • Calculus : early transcendentals 

      Stewart, James (Cengage Learning, 2012)
      This seventh edition, Stewart conveys not only the utility of calculus to help you develop technical competence, but also gives you an appreciation for the intrinsic beauty of the subject. His patient examples and built-in ...

    • Calculus of variations 

      Gelfand, I. M.; Fomin, S. V. (Prentice Hall, 1963)
      This book's aim is to give a treatment of the elements of the calculus of variations in a form both easily understandable and sufficiently modern. Considerable attention is devoted to physical applications of variational ...

    • Financial modeling 

      Benninga, Simon (The MIT Press, 2008)
      This book is now the standard text for explaining the implementation of financial models in Excel. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and ...

    • Market risk analysis. Volume IV : Value at risk models 

      Alexander, Carol (Wiley, 2008)
      Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained ...

    • Paul Wilmott introduces quantitative finance 

      Wilmott, Paul (John Wiley & Sons Inc., 2007)
      This Second edition is an accessible introduction to the classical side of quantitative finance specifically for university students. Adapted from the comprehensive, even epic, works Derivatives and Paul Wilmott on ...

    • Real analysis 

      Royden, H.; Fitzpatrick, P. M. (China Machine Press, 2010)