Search
Now showing items 1-10 of 13
All of statistics : a concise course in statistical inference
(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 stochastic modeling
(Academic Press, 1998)
An introduction to partial differential equations
(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 ...
Calculus : early transcendentals
(Cengage Learning, 2016)
Calculus of variations
(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 ...
Real analysis
(China Machine Press, 2010)
Calculus : early transcendentals
(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 ...
Applied statistics : using SPSS, STATISTICA, MATLAB and R
(Springer, 2007)
Applied numerical methods with MATLAB for engineers and scientists
(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, ...
An introduction to stochastic modeling
(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 ...