Introduction to Scientific Computing and Data Analysis
โ Scribed by Holmes, Mark H
- Publisher
- Springer International Publishing
- Year
- 2016;2018
- Tongue
- English
- Leaves
- 505
- Series
- Texts in Computational Science and Engineering 13
- Edition
- 1st edition
- 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.
โฆ Subjects
(BIC subject category)PBKJ;(BIC subject category)PBU;(BIC subject category)PDE;(BISAC Subject Heading)COM014000;(BISAC Subject Heading)MAT003000;(BISAC Subject Heading)MAT007000;(BISAC Subject Heading)PDE;Conjugate Gradient Method;Data Analysis;Interpolation;Nonlinear Equations;Numerical Integration;Numerical Linear Algebra;Optimization;(Produktform)Paperback / softback;Scientific Computing;Singular Value Decomposition;(Springer Nature Marketing Classification)B;(Springer Nature Subject Code)SCM
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