Introduction to engineering and scientific computing with Python

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Hauptverfasser: Clough, David E. (VerfasserIn), Chapra, Steven C. 1948- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2023
Ausgabe:First edition
Online-Zugang:DE-1050
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505 8 |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Examples -- Preface -- Acknowledgments -- Authors -- Chapter 1 Engineering and Scientific Calculations -- Chapter Objectives -- 1.1 Numerical Quantities -- 1.1.1 Positional and Scientific Notation -- 1.1.2 Accuracy and Precision -- 1.1.3 Significant Figures -- 1.1.4 Rounding -- 1.2 Mathematical Functions -- 1.2.1 Absolute Value and Sign Functions -- 1.2.2 Exponents and Logarithms -- 1.2.3 Trigonometric Functions -- 1.2.4 Hyperbolic Functions -- 1.3 Complex Numbers -- 1.4 Engineering Units 
505 8 |a 1.5 Organizing and Planning Solutions to Problems -- Problems -- Chapter 2 Computer-Based Calculations -- Chapter Objectives -- 2.1 Numerical Quantities as Stored in the Computer -- 2.1.1 Integer Numbers -- 2.1.2 Real Numbers -- 2.2 How the Computer Stores Text -- 2.3 Boolean True/False Information -- 2.4 Computer Storage Evolution and Terminology -- Problems -- Chapter 3 Python Basics -- Chapter Objectives -- 3.1 The Spyder/IPython Environment -- 3.2 Mathematical Functions -- 3.3 Variables and Assignment -- 3.4 Objects, Attributes, Methods, and Data Types -- 3.4.1 Boolean Type 
505 8 |a 3.4.2 Character Type -- 3.5 Collections of Data -- 3.6 Creating Plots -- 3.7 The Spyder Editor -- 3.8 Input and Output -- 3.8.1 Console Input and Output -- 3.8.2 File Input and Output -- 3.8.3 Formatting Output -- 3.9 Obtaining Help -- Problems -- Chapter 4 Structured Programming with Python -- Chapter Objectives -- 4.1 An Overview of Program Structure -- 4.2 Implementing Decision Structures with Python -- 4.3 Implementing Repetition Structures with Python -- 4.3.1 The General Loop Structure -- 4.3.2 The List-Driven and Count-Controlled Loop Structures 
505 8 |a 4.3.3 The break and Continue Statements with the for Loop -- 4.4 User-Defined Functions in Python -- 4.4.1 lambda Functions -- 4.4.2 Function Arguments -- 4.4.3 Variable Scope -- Problems -- Chapter 5 Graphics-Matplotlib -- Chapter Objectives -- 5.1 Introduction to Matplotlib -- 5.2 Customizing Line and Scatter Plots -- 5.3 Using Figure Window Objects -- 5.4 Creating Bar Plots Including Histograms -- 5.5 Creating Other Plots of Interest -- 5.6 Contour and Surface Plots -- Problems -- Chapter 6 Array and Matrix Operations -- Chapter Objectives -- 6.1 Creating Arrays in Python 
505 8 |a 6.1.1 Creating Special Arrays -- 6.1.2 Combining, Stacking, and Splitting Arrays -- 6.1.3 Reshaping Arrays -- 6.2 Indexing: Array Subscripts -- 6.3 Array Operations -- 6.4 Vector/Matrix Operations -- 6.4.1 Matrix/Vector Multiplication -- 6.4.2 Transpose -- 6.4.3 Matrix Inversion -- Problems -- Chapter 7 Solving Single Algebraic Equations -- Chapter Objectives -- 7.1 The Nature of Single, Nonlinear Equations in One Unknown -- 7.2 Bracketing Methods-Bisection -- 7.3 Bracketing Methods-False Position -- 7.4 Open Methods-Newton-Raphson -- 7.5 Open Methods-Modified Secant 
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Datensatz im Suchindex

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author Clough, David E.
Chapra, Steven C. 1948-
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author_facet Clough, David E.
Chapra, Steven C. 1948-
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contents Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Examples -- Preface -- Acknowledgments -- Authors -- Chapter 1 Engineering and Scientific Calculations -- Chapter Objectives -- 1.1 Numerical Quantities -- 1.1.1 Positional and Scientific Notation -- 1.1.2 Accuracy and Precision -- 1.1.3 Significant Figures -- 1.1.4 Rounding -- 1.2 Mathematical Functions -- 1.2.1 Absolute Value and Sign Functions -- 1.2.2 Exponents and Logarithms -- 1.2.3 Trigonometric Functions -- 1.2.4 Hyperbolic Functions -- 1.3 Complex Numbers -- 1.4 Engineering Units
1.5 Organizing and Planning Solutions to Problems -- Problems -- Chapter 2 Computer-Based Calculations -- Chapter Objectives -- 2.1 Numerical Quantities as Stored in the Computer -- 2.1.1 Integer Numbers -- 2.1.2 Real Numbers -- 2.2 How the Computer Stores Text -- 2.3 Boolean True/False Information -- 2.4 Computer Storage Evolution and Terminology -- Problems -- Chapter 3 Python Basics -- Chapter Objectives -- 3.1 The Spyder/IPython Environment -- 3.2 Mathematical Functions -- 3.3 Variables and Assignment -- 3.4 Objects, Attributes, Methods, and Data Types -- 3.4.1 Boolean Type
3.4.2 Character Type -- 3.5 Collections of Data -- 3.6 Creating Plots -- 3.7 The Spyder Editor -- 3.8 Input and Output -- 3.8.1 Console Input and Output -- 3.8.2 File Input and Output -- 3.8.3 Formatting Output -- 3.9 Obtaining Help -- Problems -- Chapter 4 Structured Programming with Python -- Chapter Objectives -- 4.1 An Overview of Program Structure -- 4.2 Implementing Decision Structures with Python -- 4.3 Implementing Repetition Structures with Python -- 4.3.1 The General Loop Structure -- 4.3.2 The List-Driven and Count-Controlled Loop Structures
4.3.3 The break and Continue Statements with the for Loop -- 4.4 User-Defined Functions in Python -- 4.4.1 lambda Functions -- 4.4.2 Function Arguments -- 4.4.3 Variable Scope -- Problems -- Chapter 5 Graphics-Matplotlib -- Chapter Objectives -- 5.1 Introduction to Matplotlib -- 5.2 Customizing Line and Scatter Plots -- 5.3 Using Figure Window Objects -- 5.4 Creating Bar Plots Including Histograms -- 5.5 Creating Other Plots of Interest -- 5.6 Contour and Surface Plots -- Problems -- Chapter 6 Array and Matrix Operations -- Chapter Objectives -- 6.1 Creating Arrays in Python
6.1.1 Creating Special Arrays -- 6.1.2 Combining, Stacking, and Splitting Arrays -- 6.1.3 Reshaping Arrays -- 6.2 Indexing: Array Subscripts -- 6.3 Array Operations -- 6.4 Vector/Matrix Operations -- 6.4.1 Matrix/Vector Multiplication -- 6.4.2 Transpose -- 6.4.3 Matrix Inversion -- Problems -- Chapter 7 Solving Single Algebraic Equations -- Chapter Objectives -- 7.1 The Nature of Single, Nonlinear Equations in One Unknown -- 7.2 Bracketing Methods-Bisection -- 7.3 Bracketing Methods-False Position -- 7.4 Open Methods-Newton-Raphson -- 7.5 Open Methods-Modified Secant
ctrlnum (OCoLC)1347213118
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edition First edition
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spelling Clough, David E. Verfasser aut
Introduction to engineering and scientific computing with Python David E. Clough, Steven C. Chapra
First edition
Boca Raton ; London ; New York CRC Press 2023
1 Online-Ressource (xxiii, 395 Seiten)
txt rdacontent
c rdamedia
cr rdacarrier
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Examples -- Preface -- Acknowledgments -- Authors -- Chapter 1 Engineering and Scientific Calculations -- Chapter Objectives -- 1.1 Numerical Quantities -- 1.1.1 Positional and Scientific Notation -- 1.1.2 Accuracy and Precision -- 1.1.3 Significant Figures -- 1.1.4 Rounding -- 1.2 Mathematical Functions -- 1.2.1 Absolute Value and Sign Functions -- 1.2.2 Exponents and Logarithms -- 1.2.3 Trigonometric Functions -- 1.2.4 Hyperbolic Functions -- 1.3 Complex Numbers -- 1.4 Engineering Units
1.5 Organizing and Planning Solutions to Problems -- Problems -- Chapter 2 Computer-Based Calculations -- Chapter Objectives -- 2.1 Numerical Quantities as Stored in the Computer -- 2.1.1 Integer Numbers -- 2.1.2 Real Numbers -- 2.2 How the Computer Stores Text -- 2.3 Boolean True/False Information -- 2.4 Computer Storage Evolution and Terminology -- Problems -- Chapter 3 Python Basics -- Chapter Objectives -- 3.1 The Spyder/IPython Environment -- 3.2 Mathematical Functions -- 3.3 Variables and Assignment -- 3.4 Objects, Attributes, Methods, and Data Types -- 3.4.1 Boolean Type
3.4.2 Character Type -- 3.5 Collections of Data -- 3.6 Creating Plots -- 3.7 The Spyder Editor -- 3.8 Input and Output -- 3.8.1 Console Input and Output -- 3.8.2 File Input and Output -- 3.8.3 Formatting Output -- 3.9 Obtaining Help -- Problems -- Chapter 4 Structured Programming with Python -- Chapter Objectives -- 4.1 An Overview of Program Structure -- 4.2 Implementing Decision Structures with Python -- 4.3 Implementing Repetition Structures with Python -- 4.3.1 The General Loop Structure -- 4.3.2 The List-Driven and Count-Controlled Loop Structures
4.3.3 The break and Continue Statements with the for Loop -- 4.4 User-Defined Functions in Python -- 4.4.1 lambda Functions -- 4.4.2 Function Arguments -- 4.4.3 Variable Scope -- Problems -- Chapter 5 Graphics-Matplotlib -- Chapter Objectives -- 5.1 Introduction to Matplotlib -- 5.2 Customizing Line and Scatter Plots -- 5.3 Using Figure Window Objects -- 5.4 Creating Bar Plots Including Histograms -- 5.5 Creating Other Plots of Interest -- 5.6 Contour and Surface Plots -- Problems -- Chapter 6 Array and Matrix Operations -- Chapter Objectives -- 6.1 Creating Arrays in Python
6.1.1 Creating Special Arrays -- 6.1.2 Combining, Stacking, and Splitting Arrays -- 6.1.3 Reshaping Arrays -- 6.2 Indexing: Array Subscripts -- 6.3 Array Operations -- 6.4 Vector/Matrix Operations -- 6.4.1 Matrix/Vector Multiplication -- 6.4.2 Transpose -- 6.4.3 Matrix Inversion -- Problems -- Chapter 7 Solving Single Algebraic Equations -- Chapter Objectives -- 7.1 The Nature of Single, Nonlinear Equations in One Unknown -- 7.2 Bracketing Methods-Bisection -- 7.3 Bracketing Methods-False Position -- 7.4 Open Methods-Newton-Raphson -- 7.5 Open Methods-Modified Secant
Chapra, Steven C. 1948- Verfasser (DE-588)172018560 aut
Erscheint auch als Online-Ausgabe 9781003256861
Erscheint auch als Druck-Ausgabe, hbk 9781032188942
Erscheint auch als Druck-Ausgabe, pbk 9781032188973
spellingShingle Clough, David E.
Chapra, Steven C. 1948-
Introduction to engineering and scientific computing with Python
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Examples -- Preface -- Acknowledgments -- Authors -- Chapter 1 Engineering and Scientific Calculations -- Chapter Objectives -- 1.1 Numerical Quantities -- 1.1.1 Positional and Scientific Notation -- 1.1.2 Accuracy and Precision -- 1.1.3 Significant Figures -- 1.1.4 Rounding -- 1.2 Mathematical Functions -- 1.2.1 Absolute Value and Sign Functions -- 1.2.2 Exponents and Logarithms -- 1.2.3 Trigonometric Functions -- 1.2.4 Hyperbolic Functions -- 1.3 Complex Numbers -- 1.4 Engineering Units
1.5 Organizing and Planning Solutions to Problems -- Problems -- Chapter 2 Computer-Based Calculations -- Chapter Objectives -- 2.1 Numerical Quantities as Stored in the Computer -- 2.1.1 Integer Numbers -- 2.1.2 Real Numbers -- 2.2 How the Computer Stores Text -- 2.3 Boolean True/False Information -- 2.4 Computer Storage Evolution and Terminology -- Problems -- Chapter 3 Python Basics -- Chapter Objectives -- 3.1 The Spyder/IPython Environment -- 3.2 Mathematical Functions -- 3.3 Variables and Assignment -- 3.4 Objects, Attributes, Methods, and Data Types -- 3.4.1 Boolean Type
3.4.2 Character Type -- 3.5 Collections of Data -- 3.6 Creating Plots -- 3.7 The Spyder Editor -- 3.8 Input and Output -- 3.8.1 Console Input and Output -- 3.8.2 File Input and Output -- 3.8.3 Formatting Output -- 3.9 Obtaining Help -- Problems -- Chapter 4 Structured Programming with Python -- Chapter Objectives -- 4.1 An Overview of Program Structure -- 4.2 Implementing Decision Structures with Python -- 4.3 Implementing Repetition Structures with Python -- 4.3.1 The General Loop Structure -- 4.3.2 The List-Driven and Count-Controlled Loop Structures
4.3.3 The break and Continue Statements with the for Loop -- 4.4 User-Defined Functions in Python -- 4.4.1 lambda Functions -- 4.4.2 Function Arguments -- 4.4.3 Variable Scope -- Problems -- Chapter 5 Graphics-Matplotlib -- Chapter Objectives -- 5.1 Introduction to Matplotlib -- 5.2 Customizing Line and Scatter Plots -- 5.3 Using Figure Window Objects -- 5.4 Creating Bar Plots Including Histograms -- 5.5 Creating Other Plots of Interest -- 5.6 Contour and Surface Plots -- Problems -- Chapter 6 Array and Matrix Operations -- Chapter Objectives -- 6.1 Creating Arrays in Python
6.1.1 Creating Special Arrays -- 6.1.2 Combining, Stacking, and Splitting Arrays -- 6.1.3 Reshaping Arrays -- 6.2 Indexing: Array Subscripts -- 6.3 Array Operations -- 6.4 Vector/Matrix Operations -- 6.4.1 Matrix/Vector Multiplication -- 6.4.2 Transpose -- 6.4.3 Matrix Inversion -- Problems -- Chapter 7 Solving Single Algebraic Equations -- Chapter Objectives -- 7.1 The Nature of Single, Nonlinear Equations in One Unknown -- 7.2 Bracketing Methods-Bisection -- 7.3 Bracketing Methods-False Position -- 7.4 Open Methods-Newton-Raphson -- 7.5 Open Methods-Modified Secant
title Introduction to engineering and scientific computing with Python
title_auth Introduction to engineering and scientific computing with Python
title_exact_search Introduction to engineering and scientific computing with Python
title_full Introduction to engineering and scientific computing with Python David E. Clough, Steven C. Chapra
title_fullStr Introduction to engineering and scientific computing with Python David E. Clough, Steven C. Chapra
title_full_unstemmed Introduction to engineering and scientific computing with Python David E. Clough, Steven C. Chapra
title_short Introduction to engineering and scientific computing with Python
title_sort introduction to engineering and scientific computing with python
work_keys_str_mv AT cloughdavide introductiontoengineeringandscientificcomputingwithpython
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