Introduction to Scientific Computing and Data Analysis
โ Scribed by Holmes, Mark H
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Introduction to Scientific Computing.- Solving a Nonlinear Equation.- Matrix Equations.- Eigenvalue Problems.- Interpolation.- Numerical Integration.- Initial Value Problems.- Optimization.- Data Analysis.- Appendices.
๐ SIMILAR VOLUMES
<span>This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a
<p>This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a s
Springer Nature, 2016. โ 496 p. โ ISBN-10: 331930254X, ISBN-13: 9783319302546.<div class="bb-sep"></div>This textbook provides and introduction to numerical computing and its applications in science and engineering.<strong> The topics covered include those</strong> usually found in an introductory c
<span>This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a
<span>This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a