<p><p>Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the b
An Introduction to Modern Mathematical Computing: With Mathematica® (Springer Undergraduate Texts in Mathematics and Technology)
✍ Scribed by Jonathan M. Borwein, Matthew P. Skerritt
- Publisher
- Springer
- Year
- 2012
- Tongue
- English
- Leaves
- 237
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s” Maple, Mathematica and Matlab.
We intend to persuade that Mathematica and other similar tools are worth knowing, assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better. We also hope to explain how to become an "experimental mathematician" while learning to be better at proving things. To accomplish this our material is divided into three main chapters followed by a postscript. These cover elementary number theory, calculus of one and several variables, introductory linear algebra, and visualization and interactive geometric computation.
✦ Table of Contents
An Introduction to Modern Mathematical Computing
Preface
Contents
Conventions and Notation
Chapter 1 Number Theory
Chapter 2 Calculus
Chapter 3 Linear Algebra
Chapter 4 Visualization and Geometry: A Postscript
Appendix A Sample Quizzes
References
Index
📜 SIMILAR VOLUMES
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<p><span>This book offers an up-to-date introductory treatment of computational techniques applied to problems in finance, placing issues such as numerical stability, convergence and error analysis in both deterministic and stochastic settings at its core.</span></p><p><span>The first part provides
<p><span>This book offers an up-to-date introductory treatment of computational techniques applied to problems in finance, placing issues such as numerical stability, convergence and error analysis in both deterministic and stochastic settings at its core.</span></p><p><span>The first part provides