Financial derivatives or options represent a critical development in modern finance and are based upon the analysis of empirical data as well as rigorous developments in ...

Abstract The teaching of basic elementary number theory facts has transcended the mathematics departments in most colleges, and is nowadays often found in computer science ...

This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, ...

In this paper, we consider linear two-point boundary value problems with constant coefficients.Weintroduce a relatively new algorithm as well as a symbolic implementation of ...

The asymmetric multistrain SI model is studied within a history-based framework. The governing differential equation in set notation is solved by making use of the powerful ...

Mathematics for Physical Science and Engineering is a complete text in mathematics for physical science that includes the use of symbolic computation to illustrate the ...

This book is an interactive introduction to some of the fundamental algorithms of computational geometry. In a conventional paper-based textbook these algorithms are either ...

This book is intended for undergraduates and young researchers who wish to understand the role that different branches of physics and mathematics play in the execution of ...

This book presents practical demonstrations of numerically calculating or obtaining Fourier Transform. In particular, the authors demonstrate how to obtain frequencies that ...

With Analog Insydes' behavioral modeling functionality and its numerical solver for systems of nonlinear differential algebraic equations (DAE), you can describe and simulate ...