Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab

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Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab

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Author : Hans Benker
language : de
Publisher: Springer-Verlag
Release Date : 2010-03-03

Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab written by Hans Benker and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-03 with Technology & Engineering categories.

In diesem Buch wird durchgehend das Mathematiksystem MATLAB zur Lösung mathematischer Probleme mittels Computer herangezogen. Im ersten Teil werden die Funktionen, Struktur und Arbeitsweise von MATLAB kurz und übersichtlich dargestellt, so dass auch Einsteiger in der Lage sind, MATLAB problemlos einzusetzen. Teil zwei bietet eine kompakte Einführung in Grundgebiete und wichtige Spezialgebiete der Ingenieurmathematik, wie z.B. Differentialgleichungen, Optimierung, Transformationen, Wahrscheinlichkeitsrechnung und Statistik. Hier steht die Anwendbarkeit von MATLAB im Vordergrund. Aufgrund seiner ausführlichen Beispielrechnungen mit MATLAB eignet sich das Buch hervorragend als Nachschlagewerk zur Lösung konkreter Probleme der Ingenieurmathematik.

Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab

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Author : Hans Benker
language : de
Publisher: Springer
Release Date : 2010-03-23

Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab written by Hans Benker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-23 with Mathematics categories.

Der Band behandelt im ersten Teil Funktionen, Struktur und Arbeitsweise von MATLAB kurz und übersichtlich, so dass auch Einsteiger MATLAB problemlos einsetzen können. Teil 2 bietet eine kompakte Einführung in Grundgebiete und wichtige Spezialgebiete der Ingenieurmathematik wie z. B. Differentialgleichungen, Optimierung, Transformationen, Wahrscheinlichkeitsrechnung und Statistik. Aufgrund ausführlicher Beispielrechnungen mit MATLAB eignet sich das Buch hervorragend als Nachschlagewerk zur Lösung konkreter Probleme der Ingenieurmathematik.

Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab

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Author :
language : en
Publisher:
Release Date : 2010

Ingenieurmathematik Kompakt Probleml Sungen Mit Matlab written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.

Scientific Computing With Matlab

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Author : Dingyu Xue
language : en
Publisher: CRC Press
Release Date : 2016-02-17

Scientific Computing With Matlab written by Dingyu Xue and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-17 with Mathematics categories.

Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter. The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.

Matlab For Engineers

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Author : Holly Moore
language : en
Publisher: Prentice Hall
Release Date : 2009

Matlab For Engineers written by Holly Moore and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.

MATLAB for Engineers, 2eis ideal for Freshman or Introductory courses in Engineering and Computer Science. With a hands-on approach and focus on problem solving, this introduction to the powerful MATLAB computing language is designed for students with only a basic college algebra background. Numerous examples are drawn from a range of engineering disciplines, demonstrating MATLAB’s applications to a broad variety of problems. Note: This book is included in Prentice Hall’sESource series. ESource allows professors to select the content appropriate for their freshman/first-year engineering course. Professors can adopt the published manuals as is or use ESource’s websitewww.prenhall.com/esourceto view and select the chapters they need, in the sequence they want. The option to add their own material or copyrighted material from other publishers also exists.

Advanced Engineering Mathematics

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Author : Dean G. Duffy
language : en
Publisher:
Release Date : 2022

Advanced Engineering Mathematics written by Dean G. Duffy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

Matlab For Engineers Electronic Resource

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Author : Holly Moore
language : en
Publisher:
Release Date : 2013

Matlab For Engineers Electronic Resource written by Holly Moore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Engineering mathematics categories.

Ingenieurmathematik Mit Matlab

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Author : Dieter Schott
language : de
Publisher: Hanser Verlag
Release Date : 2004

Ingenieurmathematik Mit Matlab written by Dieter Schott and has been published by Hanser Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Essential Matlab For Engineers And Scientists

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Author : Brian D. Hahn
language : en
Publisher:
Release Date : 2013

Essential Matlab For Engineers And Scientists written by Brian D. Hahn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Engineering mathematics categories.

This book provides a concise and well balanced overview of the functionality in MATLAB®. It facilitates independent learning with coverage of both the fundamentals and applications in two parts. The essentials of MATLAB are illustrated throughout with many examples from a wide range of familiar scientific and engineering areas, as well as from everyday life. This is an ideal textbook for a first course on MATLAB or an engineering problem solving course using MATLAB, as well as a self-learning tutorial for professionals and students who are expected to learn and apply MATLAB themselves. New to this edition: Updated with the features of Matlab R2012bExpanded discussion of writing functions and scriptsAdditional coverage of formatted output, including more discussion on fprintfMore exercises and examples throughoutNew chapters on Symbolic Math and SIMULINK® toolboxesCompanion website for the reader, providing M-files used within the book and selected solutions to end of chapter problems. Visit store.elsevier.com and search on "Essential Matlab" About the Authors Brian Hahn was a professor in the Department of Mathematics and Applied Mathematics at the University of Cape Town. He received a PhD from University of Cambridge. In his career Brian wrote more than 10 books to teach programming languages to beginners. Daniel Valentine is an Associate professor of Mechanical and Aeronautical Engineering at Clarkson University. He is Affiliate Director of the Clarkson Space Grant Program which is part of the New York NASA Space Grant Consortium, and is a co-author of Aerodynamics for Engineering Students 6e (Butterworth Heinemann, 2012). Updated with the features of Matlab R2012bMore complete coverage of Matlab windows and menusExpanded discussion of writing functions and scriptsRevised and expanded Part II: ApplicationsExpanded section on GUIsMore exercises and examples throughoutCompanion website for students providing M-files used within the book and selected solutions to end of chapter problems.

Engineering Mathematics With Matlab

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Author : Won Y. Yang et. al
language : en
Publisher: Won Y. Yang
Release Date : 2019-02-01

Engineering Mathematics With Matlab written by Won Y. Yang et. al and has been published by Won Y. Yang this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-01 with Antiques & Collectibles categories.

Chapter 1: Vectors and Matrices 1.1 Vectors 1.1.1 Geometry with Vector 1.1.2 Dot Product 1.1.3 Cross Product 1.1.4 Lines and Planes 1.1.5 Vector Space 1.1.6 Coordinate Systems 1.1.7 Gram-Schmidt Orthonolization 1.2 Matrices 1.2.1 Matrix Algebra 1.2.2 Rank and Row/Column Spaces 1.2.3 Determinant and Trace 1.2.4 Eigenvalues and Eigenvectors 1.2.5 Inverse of a Matrix 1.2.6 Similarity Transformation and Diagonalization 1.2.7 Special Matrices 1.2.8 Positive Definiteness 1.2.9 Matrix Inversion Lemma 1.2.10 LU, Cholesky, QR, and Singular Value Decompositions 1.2.11 Physical Meaning of Eigenvalues/Eigenvectors 1.3 Systems of Linear Equations 1.3.1 Nonsingular Case 1.3.2 Undetermined Case - Minimum-Norm Solution 1.3.3 Overdetermined Case - Least-Squares Error Solution 1.3.4 Gauss(ian) Elimination 1.3.5 RLS (Recursive Least Squares) Algorithm Problems Chapter 2: Vector Calculus 2.1 Derivatives 2.2 Vector Functions 2.3 Velocity and Acceleration 2.4 Divergence and Curl 2.5 Line Integrals and Path Independence 2.5.1 Line Integrals 2.5.2 Path Independence 2.6 Double Integrals 2.7 Green's Theorem 2.8 Surface Integrals 2.9 Stokes' Theorem 2.10 Triple Integrals 2.11 Divergence Theorem Problems Chapter 3: Ordinary Differential Equation 3.1 First-Order Differential Equations 3.1.1 Separable Equations 3.1.2 Exact Differential Equations and Integrating Factors 3.1.3 Linear First-Order Differential Equations 3.1.4 Nonlinear First-Order Differential Equations 3.1.5 Systems of First-Order Differential Equations 3.2 Higher-Order Differential Equations 3.2.1 Undetermined Coefficients 3.2.2 Variation of Parameters 3.2.3 Cauchy-Euler Equations 3.2.4 Systems of Linear Differential Equations 3.3 Special Second-Order Linear ODEs 3.3.1 Bessel's Equation 3.3.2 Legendre's Equation 3.3.3 Chebyshev's Equation 3.3.4 Hermite's Equation 3.3.5 Laguerre's Equation 3.4 Boundary Value Problems Problems Chapter 4: Laplace Transform 4.1 Definition of the Laplace Transform 4.1.1 Laplace Transform of the Unit Step Function 4.1.2 Laplace Transform of the Unit Impulse Function 4.1.3 Laplace Transform of the Ramp Function 4.1.4 Laplace Transform of the Exponential Function 4.1.5 Laplace Transform of the Complex Exponential Function 4.2 Properties of the Laplace Transform 4.2.1 Linearity 4.2.2 Time Differentiation 4.2.3 Time Integration 4.2.4 Time Shifting - Real Translation 4.2.5 Frequency Shifting - Complex Translation 4.2.6 Real Convolution 4.2.7 Partial Differentiation 4.2.8 Complex Differentiation 4.2.9 Initial Value Theorem (IVT) 4.2.10 Final Value Theorem (FVT) 4.3 The Inverse Laplace Transform 4.4 Using of the Laplace Transform 4.5 Transfer Function of a Continuous-Time System Problems 300 Chapter 5: The Z-transform 5.1 Definition of the Z-transform 5.2 Properties of the Z-transform 5.2.1 Linearity 5.2.2 Time Shifting - Real Translation 5.2.3 Frequency Shifting - Complex Translation 5.2.4 Time Reversal 5.2.5 Real Convolution 5.2.6 Complex Convolution 5.2.7 Complex Differentiation 5.2.8 Partial Differentiation 5.2.9 Initial Value Theorem 5.2.10 Final Value Theorem 5.3 The Inverse Z-transform 5.4 Using The Z-transform 5.5 Transfer Function of a Discrete-Time System 5.6 Differential Equation and Difference Equation Problems Chapter 6: Fourier Series and Fourier Transform 6.1 Continuous-Time Fourier Series (CTFS) 6.1.1 Definition and Convergence Conditions 6.1.2 Examples of CTFS 6.2 Continuous-Time Fourier Transform (CTFT) 6.2.1 Definition and Convergence Conditions 6.2.2 (Generalized) CTFT of Periodic Signals 6.2.3 Examples of CTFT 6.2.4 Properties of CTFT 6.3 Discrete-Time Fourier Transform (DTFT) 6.3.1 Definition and Convergence Conditions 6.3.2 Examples of DTFT 6.3.3 DTFT of Periodic Sequences 6.3.4 Properties of DTFT 6.4 Discrete Fourier Transform (DFT) 6.5 Fast Fourier Transform (FFT) 6.5.1 Decimation-in-Time (DIT) FFT 6.5.2 Decimation-in-Frequency (DIF) FFT 6.5.3 Computation of IDFT Using FFT Algorithm 6.5.4 Interpretation of DFT Results 6.6 Fourier-Bessel/Legendre/Chebyshev/Cosine/Sine Series 6.6.1 Fourier-Bessel Series 6.6.2 Fourier-Legendre Series 6.6.3 Fourier-Chebyshev Series 6.6.4 Fourier-Cosine/Sine Series Problems Chapter 7: Partial Differential Equation 7.1 Elliptic PDE 7.2 Parabolic PDE 7.2.1 The Explicit Forward Euler Method 7.2.2 The Implicit Forward Euler Method 7.2.3 The Crank-Nicholson Method 7.2.4 Using the MATLAB Function 'pdepe()' 7.2.5 Two-Dimensional Parabolic PDEs 7.3 Hyperbolic PDES 7.3.1 The Explict Central Difference Method 7.3.2 Tw-Dimensional Hyperbolic PDEs 7.4 PDES in Other Coordinate Systems 7.4.1 PDEs in Polar/Cylindrical Coordinates 7.4.2 PDEs in Spherical Coordinates 7.5 Laplace/Fourier Transforms for Solving PDES 7.5.1 Using the Laplace Transform for PDEs 7.5.2 Using the Fourier Transform for PDEs Problems Chapter 8: Complex Analysis 509 8.1 Functions of a Complex Variable 8.1.1 Complex Numbers and their Powers/Roots 8.1.2 Functions of a Complex Variable 8.1.3 Cauchy-Riemann Equations 8.1.4 Exponential and Logarithmic Functions 8.1.5 Trigonometric and Hyperbolic Functions 8.1.6 Inverse Trigonometric/Hyperbolic Functions 8.2 Conformal Mapping 8.2.1 Conformal Mappings 8.2.2 Linear Fractional Transformations 8.3 Integration of Complex Functions 8.3.1 Line Integrals and Contour Integrals 8.3.2 Cauchy-Goursat Theorem 8.3.3 Cauchy's Integral Formula 8.4 Series and Residues 8.4.1 Sequences and Series 8.4.2 Taylor Series 8.4.3 Laurent Series 8.4.4 Residues and Residue Theorem 8.4.5 Real Integrals Using Residue Theorem Problems Chapter 9: Optimization 9.1 Unconstrained Optimization 9.1.1 Golden Search Method 9.1.2 Quadratic Approximation Method 9.1.3 Nelder-Mead Method 9.1.4 Steepest Descent Method 9.1.5 Newton Method 9.2 Constrained Optimization 9.2.1 Lagrange Multiplier Method 9.2.2 Penalty Function Method 9.3 MATLAB Built-in Functions for Optimization 9.3.1 Unconstrained Optimization 9.3.2 Constrained Optimization 9.3.3 Linear Programming (LP) 9.3.4 Mixed Integer Linear Programing (MILP) Problems Chapter 10: Probability 10.1 Probability 10.1.1 Definition of Probability 10.1.2 Permutations and Combinations 10.1.3 Joint Probability, Conditional Probability, and Bayes' Rule 10.2 Random Variables 10.2.1 Random Variables and Probability Distribution/Density Function 10.2.2 Joint Probability Density Function 10.2.3 Conditional Probability Density Function 10.2.4 Independence 10.2.5 Function of a Random Variable 10.2.6 Expectation, Variance, and Correlation 10.2.7 Conditional Expectation 10.2.8 Central Limit Theorem - Normal Convergence Theorem 10.3 ML Estimator and MAP Estimator 653 Problems