Introduction to computational engineering with MATLAB:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boca Raton, FL
CRC Press
2023
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Ausgabe: | First edition |
Schriftenreihe: | Chapman & Hall/CRC numerical analysis and scientific computing series
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Schlagworte: | |
Beschreibung: | 1. MATLAB Programming. 1.1. The MATLAB Development Environment. 1.2. Variables and Values. 1.3. MATLAB Scripts. 1.4. Input and Output. 1.5. For Loops. 1.6. Control Constructs. 1.7. Vectors and Matrices in MATLAB. 1.8. MATLAB Functions. 1.9. Functions Operating on Vectors. 1.10. Importing Data Into MATLAB. 1.11. Text Strings in MATLAB. 1.12. Exercises. 2. Graphical Data Analysis. 2.1. Using the Plot Tool. 2.2. Basic Line Plots. 2.3. 3-D Plots. 2.4. Exercises. 3. Statistical Data Analysis. 3.1. Introduction to Statistics. 3.2. Common Statistical Functions. 3.3. Moving Window Statistics. 3.4. Probability Distributions. 3.5. Generating Random Numbers. 3.6. Statistics on Matrices. 3.7. Plots of Statistical Data. 3.8. Central Limit Theorem. 3.9. Sampling and Confidence Intervals. 3.10. Statistical Significance. 3.11. Exercises. 4. Using the Symbolic Math Toolbox. 4.1. Throwing a Ball Up. 4.2. Symbolic Algebra. 4.3. Symbolic Calculus. 4.4. Symbolic Differential Equations. 4.5. Exercises. - 5. Introduction to Linear Algebra. 5.1. Working with Vectors. 5.2. Working with Matrices. 5.3. Geometric Transforms. 5.4. Systems of Linear Equations. 5.5. Elimination. 5.6. LU Decomposition. 5.7. Linear System Applications. 5.8. Under-determined Systems. 5.9. Over-determined Systems and Vector Projections. 5.10. Least Squares Regression. 5.11. Left-Divide Operator. 5.12. Exercises. 6. Application of Eigenvalues and Eigenvectors. 6.1. Introduction to Eigenvalues and Eigenvectors. 6.2. Eigenvector Animation. 6.3. Finding Eigenvalues and Eigenvectors. 6.4. Properties of Eigenvalues and Eigenvectors. 6.5. Diagonalization and Powers of A. 6.6. Change of Basis and Difference Equations. 6.7. Systems of Linear ODEs. 6.8. Singular Value Decomposition (SVD). 6.9. Principal Component Analysis (PCA). 6.10. Eigenvector Animation Code. 6.11. Exercises. 7. Computational Numerical Methods. 7.1. Optimization. 7.2. Data Interpolation. 7.3. Numerical Differentiation. 7.4. Numerical Integration. 7.5. - Numerical Differential Equations. 7.6. Exercises. A. Linear Algebra Appendix. B. The Number e. Bibliography. Index. |
Beschreibung: | XXIV, 414 Seiten Illustrationen, Diagramme 807 grams |
ISBN: | 9781032221410 9781032221786 |
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500 | |a 1. MATLAB Programming. 1.1. The MATLAB Development Environment. 1.2. Variables and Values. 1.3. MATLAB Scripts. 1.4. Input and Output. 1.5. For Loops. 1.6. Control Constructs. 1.7. Vectors and Matrices in MATLAB. 1.8. MATLAB Functions. 1.9. Functions Operating on Vectors. 1.10. Importing Data Into MATLAB. 1.11. Text Strings in MATLAB. 1.12. Exercises. 2. Graphical Data Analysis. 2.1. Using the Plot Tool. 2.2. Basic Line Plots. 2.3. 3-D Plots. 2.4. Exercises. 3. Statistical Data Analysis. 3.1. Introduction to Statistics. 3.2. Common Statistical Functions. 3.3. Moving Window Statistics. 3.4. Probability Distributions. 3.5. Generating Random Numbers. 3.6. Statistics on Matrices. 3.7. Plots of Statistical Data. 3.8. Central Limit Theorem. 3.9. Sampling and Confidence Intervals. 3.10. Statistical Significance. 3.11. Exercises. 4. Using the Symbolic Math Toolbox. 4.1. Throwing a Ball Up. 4.2. Symbolic Algebra. 4.3. Symbolic Calculus. 4.4. Symbolic Differential Equations. 4.5. Exercises. | ||
500 | |a - 5. Introduction to Linear Algebra. 5.1. Working with Vectors. 5.2. Working with Matrices. 5.3. Geometric Transforms. 5.4. Systems of Linear Equations. 5.5. Elimination. 5.6. LU Decomposition. 5.7. Linear System Applications. 5.8. Under-determined Systems. 5.9. Over-determined Systems and Vector Projections. 5.10. Least Squares Regression. 5.11. Left-Divide Operator. 5.12. Exercises. 6. Application of Eigenvalues and Eigenvectors. 6.1. Introduction to Eigenvalues and Eigenvectors. 6.2. Eigenvector Animation. 6.3. Finding Eigenvalues and Eigenvectors. 6.4. Properties of Eigenvalues and Eigenvectors. 6.5. Diagonalization and Powers of A. 6.6. Change of Basis and Difference Equations. 6.7. Systems of Linear ODEs. 6.8. Singular Value Decomposition (SVD). 6.9. Principal Component Analysis (PCA). 6.10. Eigenvector Animation Code. 6.11. Exercises. 7. Computational Numerical Methods. 7.1. Optimization. 7.2. Data Interpolation. 7.3. Numerical Differentiation. 7.4. Numerical Integration. 7.5. | ||
500 | |a - Numerical Differential Equations. 7.6. Exercises. A. Linear Algebra Appendix. B. The Number e. Bibliography. Index. | ||
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Datensatz im Suchindex
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author | Bower, Timothy |
author_facet | Bower, Timothy |
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author_sort | Bower, Timothy |
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building | Verbundindex |
bvnumber | BV048554193 |
classification_rvk | ST 620 |
ctrlnum | (OCoLC)1348132149 (DE-599)BVBBV048554193 |
discipline | Informatik |
discipline_str_mv | Informatik |
edition | First edition |
format | Book |
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illustrated | Illustrated |
index_date | 2024-07-03T20:58:13Z |
indexdate | 2024-07-10T09:41:19Z |
institution | BVB |
isbn | 9781032221410 9781032221786 |
language | English |
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owner_facet | DE-29T DE-1050 |
physical | XXIV, 414 Seiten Illustrationen, Diagramme 807 grams |
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series2 | Chapman & Hall/CRC numerical analysis and scientific computing series |
spelling | Bower, Timothy Verfasser aut Introduction to computational engineering with MATLAB Timothy Bower, Kansas State University Salina, USA First edition Boca Raton, FL CRC Press 2023 XXIV, 414 Seiten Illustrationen, Diagramme 807 grams txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC numerical analysis and scientific computing series 1. MATLAB Programming. 1.1. The MATLAB Development Environment. 1.2. Variables and Values. 1.3. MATLAB Scripts. 1.4. Input and Output. 1.5. For Loops. 1.6. Control Constructs. 1.7. Vectors and Matrices in MATLAB. 1.8. MATLAB Functions. 1.9. Functions Operating on Vectors. 1.10. Importing Data Into MATLAB. 1.11. Text Strings in MATLAB. 1.12. Exercises. 2. Graphical Data Analysis. 2.1. Using the Plot Tool. 2.2. Basic Line Plots. 2.3. 3-D Plots. 2.4. Exercises. 3. Statistical Data Analysis. 3.1. Introduction to Statistics. 3.2. Common Statistical Functions. 3.3. Moving Window Statistics. 3.4. Probability Distributions. 3.5. Generating Random Numbers. 3.6. Statistics on Matrices. 3.7. Plots of Statistical Data. 3.8. Central Limit Theorem. 3.9. Sampling and Confidence Intervals. 3.10. Statistical Significance. 3.11. Exercises. 4. Using the Symbolic Math Toolbox. 4.1. Throwing a Ball Up. 4.2. Symbolic Algebra. 4.3. Symbolic Calculus. 4.4. Symbolic Differential Equations. 4.5. Exercises. - 5. Introduction to Linear Algebra. 5.1. Working with Vectors. 5.2. Working with Matrices. 5.3. Geometric Transforms. 5.4. Systems of Linear Equations. 5.5. Elimination. 5.6. LU Decomposition. 5.7. Linear System Applications. 5.8. Under-determined Systems. 5.9. Over-determined Systems and Vector Projections. 5.10. Least Squares Regression. 5.11. Left-Divide Operator. 5.12. Exercises. 6. Application of Eigenvalues and Eigenvectors. 6.1. Introduction to Eigenvalues and Eigenvectors. 6.2. Eigenvector Animation. 6.3. Finding Eigenvalues and Eigenvectors. 6.4. Properties of Eigenvalues and Eigenvectors. 6.5. Diagonalization and Powers of A. 6.6. Change of Basis and Difference Equations. 6.7. Systems of Linear ODEs. 6.8. Singular Value Decomposition (SVD). 6.9. Principal Component Analysis (PCA). 6.10. Eigenvector Animation Code. 6.11. Exercises. 7. Computational Numerical Methods. 7.1. Optimization. 7.2. Data Interpolation. 7.3. Numerical Differentiation. 7.4. Numerical Integration. 7.5. - Numerical Differential Equations. 7.6. Exercises. A. Linear Algebra Appendix. B. The Number e. Bibliography. Index. bicssc / Applied mathematics bicssc / Probability & statistics bicssc / Information technology - general issues bicssc / Numerical analysis bicssc / Mechanical engineering bicssc / Mathematical theory of computation bicssc / Engineering - general bisacsh / COMPUTERS / Computer Engineering bisacsh / TECHNOLOGY & ENGINEERING / General bisacsh / COMPUTERS / Mathematical & Statistical Software bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / MATHEMATICS / General bisacsh / MATHEMATICS / Number Systems Ingenieurwissenschaften (DE-588)4137304-2 gnd rswk-swf MATLAB (DE-588)4329066-8 gnd rswk-swf MATLAB (DE-588)4329066-8 s Ingenieurwissenschaften (DE-588)4137304-2 s DE-604 Erscheint auch als Online-Ausgabe 978-1-003-27143-7 |
spellingShingle | Bower, Timothy Introduction to computational engineering with MATLAB bicssc / Applied mathematics bicssc / Probability & statistics bicssc / Information technology - general issues bicssc / Numerical analysis bicssc / Mechanical engineering bicssc / Mathematical theory of computation bicssc / Engineering - general bisacsh / COMPUTERS / Computer Engineering bisacsh / TECHNOLOGY & ENGINEERING / General bisacsh / COMPUTERS / Mathematical & Statistical Software bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / MATHEMATICS / General bisacsh / MATHEMATICS / Number Systems Ingenieurwissenschaften (DE-588)4137304-2 gnd MATLAB (DE-588)4329066-8 gnd |
subject_GND | (DE-588)4137304-2 (DE-588)4329066-8 |
title | Introduction to computational engineering with MATLAB |
title_auth | Introduction to computational engineering with MATLAB |
title_exact_search | Introduction to computational engineering with MATLAB |
title_exact_search_txtP | Introduction to computational engineering with MATLAB |
title_full | Introduction to computational engineering with MATLAB Timothy Bower, Kansas State University Salina, USA |
title_fullStr | Introduction to computational engineering with MATLAB Timothy Bower, Kansas State University Salina, USA |
title_full_unstemmed | Introduction to computational engineering with MATLAB Timothy Bower, Kansas State University Salina, USA |
title_short | Introduction to computational engineering with MATLAB |
title_sort | introduction to computational engineering with matlab |
topic | bicssc / Applied mathematics bicssc / Probability & statistics bicssc / Information technology - general issues bicssc / Numerical analysis bicssc / Mechanical engineering bicssc / Mathematical theory of computation bicssc / Engineering - general bisacsh / COMPUTERS / Computer Engineering bisacsh / TECHNOLOGY & ENGINEERING / General bisacsh / COMPUTERS / Mathematical & Statistical Software bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / MATHEMATICS / General bisacsh / MATHEMATICS / Number Systems Ingenieurwissenschaften (DE-588)4137304-2 gnd MATLAB (DE-588)4329066-8 gnd |
topic_facet | bicssc / Applied mathematics bicssc / Probability & statistics bicssc / Information technology - general issues bicssc / Numerical analysis bicssc / Mechanical engineering bicssc / Mathematical theory of computation bicssc / Engineering - general bisacsh / COMPUTERS / Computer Engineering bisacsh / TECHNOLOGY & ENGINEERING / General bisacsh / COMPUTERS / Mathematical & Statistical Software bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / MATHEMATICS / General bisacsh / MATHEMATICS / Number Systems Ingenieurwissenschaften MATLAB |
work_keys_str_mv | AT bowertimothy introductiontocomputationalengineeringwithmatlab |