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Applied Numerical Methods Using MATLAB R. V. Dukkipati.

By: Material type: TextLanguage: Publisher: Boston Mercury Learning, [2023]Copyright date: ©2023Description: 1 online resource (950 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781683928676
Subject(s): Additional physical formats: No title; No titleOnline resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Contents -- Preface -- Acknowledgments -- Chapter 1: Numerical Computations -- Chapter 2: Linear System of Equations -- Chapter 3: Solution of Algebraic and Transcendental Equations -- Chapter 4: Numerical Differentiation -- Chapter 5: Finite Differences and Interpolation -- Chapter 6: Curve Fitting, Regression, and Correlation -- Chapter 7: Numerical Integration -- Chapter 8: Numerical Solution of Ordinary Differential Equations -- Chapter 9: Direct Numerical Integration Methods -- Chapter 10: MATLAB Basics -- Chapter 11: Optimization -- Chapter 12: Partial Differential Equations -- Appendix A: Partial Fraction Expansions -- Appendix B: Basic Engineering Mathematics -- Appendix C: Cramer's Rule. Exercises -- Appendix D: MATLAB Built-In M-File Functions -- Appendix E: MATLAB Programs -- Appendix F: Answers to Odd Numbered Exercises -- Bibliography -- Index
Title is part of eBook package: EBOOK PACKAGE Mathematics 2023 DGB - ALL LANG De GruyterTitle is part of eBook package: MLI ASEE STEM eBook-Package 2024 De GruyterTitle is part of eBook package: MLI STEM AI DS eBook-Package 2024 De GruyterTitle is part of eBook package: eBook Package Mathematics 2023 English / eBook-Paket Mathematik 2023 Englisch De GruyterTitle is part of eBook package: EBOOK PACKAGE Mathematics 2023 DGB - ENG De GruyterTitle is part of eBook package: eBook Package Mathematics 2023 / eBook-Paket Mathematik 2023 De GruyterSummary: The book is designed to cover all major aspects of applied numerical methods, including numerical computations, solution of algebraic and transcendental equations, finite differences and interpolation, curve fitting, correlation and regression, numerical differentiation and integration, matrices and linear system of equations, numerical solution of ordinary differential equations, and numerical solution of partial differential equations. MATLAB is incorporated throughout the text and most of the problems are executed in MATLAB code. It uses a numerical problem-solving orientation with numerous examples, figures, and end of chapter exercises. Presentations are limited to very basic topics to serve as an introduction to more advanced topics. Features: Integrates MATLAB throughout the text Includes over 600 fully-solved problems with step-by-step solutions Limits presentations to basic concepts of solving numerical methods
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Electronic Books CUTN Central Library Link to resource Available EB04686

Frontmatter -- Contents -- Preface -- Acknowledgments -- Chapter 1: Numerical Computations -- Chapter 2: Linear System of Equations -- Chapter 3: Solution of Algebraic and Transcendental Equations -- Chapter 4: Numerical Differentiation -- Chapter 5: Finite Differences and Interpolation -- Chapter 6: Curve Fitting, Regression, and Correlation -- Chapter 7: Numerical Integration -- Chapter 8: Numerical Solution of Ordinary Differential Equations -- Chapter 9: Direct Numerical Integration Methods -- Chapter 10: MATLAB Basics -- Chapter 11: Optimization -- Chapter 12: Partial Differential Equations -- Appendix A: Partial Fraction Expansions -- Appendix B: Basic Engineering Mathematics -- Appendix C: Cramer's Rule. Exercises -- Appendix D: MATLAB Built-In M-File Functions -- Appendix E: MATLAB Programs -- Appendix F: Answers to Odd Numbered Exercises -- Bibliography -- Index

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http://purl.org/coar/access_right/c_16ec

The book is designed to cover all major aspects of applied numerical methods, including numerical computations, solution of algebraic and transcendental equations, finite differences and interpolation, curve fitting, correlation and regression, numerical differentiation and integration, matrices and linear system of equations, numerical solution of ordinary differential equations, and numerical solution of partial differential equations. MATLAB is incorporated throughout the text and most of the problems are executed in MATLAB code. It uses a numerical problem-solving orientation with numerous examples, figures, and end of chapter exercises. Presentations are limited to very basic topics to serve as an introduction to more advanced topics. Features: Integrates MATLAB throughout the text Includes over 600 fully-solved problems with step-by-step solutions Limits presentations to basic concepts of solving numerical methods

Issued also in print.

Mode of access: Internet via World Wide Web.

Dukkipati R. V. : R. V. Dukkipati is a Professor and Chair of Mechanical Engineering at Fairfield University, as well as a consultant in the field of road vehicle accident reconstruction. He is a member of the Connecticut Academy of Sciences and Engineering (CASE), and a Fellow of both the American Society of Mechanical Engineers (ASME) and the Canadian Society for Mechanical Engineers (CSME).

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed March 23 2026)

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