Computer Science and Scientific Computing
3 total works
This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who...Read more
This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.
Introduction to Computer Performance Analysis with Mathematica
by Arnold O. Allen
Published January 1994
"Introduction to Computer Performance Analysis with Mathematica" is designed as a beginner's guide to computer performance analysis and assumes only a basic knowledge of computers and some mathematical proficiency. The mathematical aspects have been relegated to a Mathematica program disk, allowing readers to try out most of the techniques...Read more
"Introduction to Computer Performance Analysis with Mathematica" is designed as a beginner's guide to computer performance analysis and assumes only a basic knowledge of computers and some mathematical proficiency. The mathematical aspects have been relegated to a Mathematica program disk, allowing readers to try out most of the techniques as they work their way through the book. Ideally suited for this self-tutoring task, the use of Mathematica offers valuable properties such as visualization system for functions and data and a modeling and data analysis environment. However, no prior experience of Mathematica is required and readers should benefit from this book even if they bypass the Mathematica exercises.
Probability, Statistics, and Queuing Theory with Computer Science Applications
by Arnold O. Allen
Published 1 August 1990