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Advanced Engineering Mathematics notes

Erwin Kreyszig - ISBN: 9780470458365

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View all 41 notes for Advanced Engineering Mathematics, written by Erwin Kreyszig. All Advanced Engineering Mathematics notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Advanced Engineering Mathematics summary or other study material that matches your study style perfectly, and studying will be a breeze.

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Partial Differential Equations - Lecture 8 Notes
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The aim of this course unit is to enable a student to: 1. Demonstrate an understanding of methods used to solve partial differential equations and their engineering areas of application, 2. Apply mathematical skills from partial differentiation to solve problems that require partial differentiation methods, 3. Appreciate the role of partial differentiation in solving problems that are related to science and engineering. At the end of this course unit, the student should be able to: 1. Apply par...

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Partial Differential Equations - Lecture 7 Notes
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The aim of this course unit is to enable a student to: 1. Demonstrate an understanding of methods used to solve partial differential equations and their engineering areas of application, 2. Apply mathematical skills from partial differentiation to solve problems that require partial differentiation methods, 3. Appreciate the role of partial differentiation in solving problems that are related to science and engineering. At the end of this course unit, the student should be able to: 1. Apply par...

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32. More partial differential equations
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Frobenius ODEs, and looking at special cases. Using the indicial equation to find what type of solution the Frobenius ODEs. Edge Waves redux finding a power series solution.

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28. PDEs and waves & Series solutions of ODEs create special functions
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Series Solution and how they can be found. Modelling of shallow water and finding solutions. Variation of Parameters and an example. Variation of parameters general solution and deriving it. Power Series method and using is to solve ODEs creating a recurrence relationship.

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20. Representing periodic functions by Fourier series
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Theorem for Fourier series, the fourier series and the integrals to solve the coefficients. Forced oscillation example and graphing of solution. Generalising Fourier series to an Arbitrary period and derivation.

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16. Partial differential equations
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Partial Differential Equations and its definition and properties. Some important PDEs are given and an example given of how to solve one. It goes through how to make a well-posed PDE question and the modelling framework. An example is given of modelling car traffic going through the steps of the modelling framework.

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11. Second and higher order ODEs
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General solution for two nonhomogeneous ODE example. How to use matlab to check your solutions. Modelling free and forced oscillations theory and finding the solutions to an undamped system. Example of a harmonic oscillator and looking at the different types of damped systems.

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9. Second and higher order ODEs
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Existence and completeness theorem and a general proof (not complete), Characteristic Equation derivation and the different types with an example. Theory of linear independent solutions and a basis, using Wronksian for linear independence and basis- partial proof. Complex roots theory and an example with a graph and matlab code. Multiple roots theory of the number of linearly independent solutions and an example.

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1. First order ordinary differential equations
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Looking at the steps to Modelling Ordinary Differential Equations and the different types of forms: first order ODEs in explicit form, implicit form. How to solve Separable ODEs using a Chauvet Cave example. Lastly looking at the Concepts of a particular solution and a general solution.

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34. More partial differential equations
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Further Fourier Series looking at a Maclaurin Series, inner product, weight function, orthogonal and norm. These have definitions equations and examples. Define an orthogonal set and examples of these. Legrendre Polynomials, Bessel functions and generalised fourier series. Definition for completeness of functions. Complex Fourier series and example.

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33. More partial differential equations
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Looking at the wave equation and solving using polar coordinates for a wave propagating on the surface of a circular pool. Special case with no angular dependence and finding solutions.

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32. More partial differential equations
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Frobenius ODEs, and looking at special cases. Using the indicial equation to find what type of solution the Frobenius ODEs. Edge Waves redux finding a power series solution.

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1. First order ordinary differential equations
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Looking at the steps to Modelling Ordinary Differential Equations and the different types of forms: first order ODEs in explicit form, implicit form. How to solve Separable ODEs using a Chauvet Cave example. Lastly looking at the Concepts of a particular solution and a general solution.

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3. First order ordinary differential equations & Second and higher order ODEs
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How to make ODEs exact with a integration factor, finding a particular solution for Exact ODEs. Show why integrating factor works. Example finding an integrating factor, finding an exact solution and graphing the solution in Matlab.

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4. Second and higher order ODEs
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Solving Linear ODEs: definition of linear/nonlinear and homogeneous/nonhomogeneous. General solution to first order ODE with integrating factor. Example of a first order linear IVP. Explanation to why the General solution formula works. Example of Hormone levels and their rates of changes. Using Matlab to solve ODEs.

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5. Second and higher order ODEs
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Example of a separable solution. Existence and Uniqueness Theorem (no proof) with two example questions. Showing how to work out the integrating factor to make exact ODEs exact.

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Summary Advanced Engineering Mathematics

The tenth edition of this bestselling text includes examples in more detail and more applied exercises; both changes are aimed at making the material more relevant and accessible to readers. Kreyszig introduces engineers and computer scientists to advanced math topics as they relate to practical problems. It goes into the following topics at great depth differential equations, partial differential equations, Fourier analysis, vector analysis, complex analysis, and linear algebra/differential equations.