Applied Engineering Mathematics – Brian Vick

$19.99

Download Applied Engineering Mathematics – Brian Vick written by Brian Vick in PDF format. This book is under the category Engineering and bearing the isbn/isbn13 number 0367432765; 0367432773; 1003002269; 1000047652/9780367432768/ 9780367432775/ 9781003002260/ 9781000047653. You may reffer the table below for additional details of the book.

SKU: 9bb6dee73b8b Category: Tags: , , ,

Specifications

book-author

Brian Vick

publisher

CRC Press; 1st edition

file-type

PDF

pages

Pages

language

English

asin

B08875375Z

isbn10

0367432765; 0367432773; 1003002269; 1000047652

isbn13

9780367432768/ 9780367432775/ 9781003002260/ 9781000047653


Book Description

Undergraduate engineering college students require good arithmetic expertise. Brian Vick‘s Applied Engineering Mathematics; (PDF) assists this want by putting a powerful concentrate on visualization and the strategies and instruments wanted throughout the entire of engineering. The visible strategy is pressured; and extreme proofs and derivations are averted. The visible pictures describe and train the mathematical strategies. The ebook’s web site supplies dynamic and interactive codes in Mathematics to accompany the examples for the reader to find on their very own with Mathematics or the free Computational Document Format participant; and it gives access for instructors to a solutions manual.

    • Written for years 2 to 4 of an engineering diploma course

    • Strongly stresses a visible strategy to engineering arithmetic

    • The web site supplies help with dynamic and interactive Mathematics code and instructor’s solutions manual

Brian Vick is an assistant professor at Virginia Tech within the United States and is a longtime trainer and researcher. His type has been constructed from instructing a wide range of engineering and mathematical programs within the areas of warmth switch; engineering design; laptop programming; thermodynamics; numerical evaluation; and system dynamics at each undergraduate and graduate ranges.

NOTE: The product solely consists of the ebook; Applied Engineering Mathematics in PDF. No access codes are included.

Additional information

book-author

Brian Vick

publisher

CRC Press; 1st edition

file-type

PDF

pages

Pages

language

English

asin

B08875375Z

isbn10

0367432765; 0367432773; 1003002269; 1000047652

isbn13

9780367432768/ 9780367432775/ 9781003002260/ 9781000047653

Table of contents


Table of contents :
Cover
Half Title #2,0,-32767Title Page #4,0,-32767Copyright Page #5,0,-32767Table of Contents #6,0,-32767Preface #12,0,-32767About the Author
Chapter 1 Overview
1.1 Objectives
1.2 Educational Philosophy
1.3 Physical Processes
1.4 Mathematical Models
1.4.1 Algebraic Equations
1.4.2 Ordinary Differential Equations
1.4.3 Partial Differential Equations
1.5 Solution Methods
1.6 Software
Chapter 2 Physical Processes
2.1 Physical Phenomena
2.2 Fundamental Principles
2.3 Conservation Laws
2.3.1 Conservation of Mass: Continuity
2.3.2 Conservation of Momentum: Newton’s Second Law
2.3.3 Conservation of Energy: First Law of Thermodynamics
2.4 Rate Equations
2.4.1 Heat Conduction: Fourier’s Law
2.4.2 Heat Convection: Newton’s Law of Cooling
2.4.3 Thermal Radiation
2.4.4 Viscous Fluid Shear: Newton’s Viscosity Law
2.4.5 Binary Mass Diffusion: Fick’s Law
2.4.6 Electrical Conduction: Ohm’s Law
2.4.7 Stress-Strain: Hooke’s Law
2.5 Diffusion Analogies
Chapter 3 Modeling of Physical Processes
3.1 Cause and Effect
3.1.1 General Physical Process
3.1.2 Thermal Processes
3.1.3 Mechanical Processes
3.2 Mathematical Modeling
3.3 Complete Mathematical Model
3.3.1 Mechanical Vibrations
3.3.2 Heat Conduction
3.4 Dimensionless Formulation
3.4.1 General Procedure
3.4.2 Mechanical Vibrations
3.4.3 Steady Heat Conduction
3.5 Inverse and Parameter Estimation Problems
3.5.1 Direct Problem
3.5.2 Inverse Problem
3.5.3 Parameter Estimation Problem
3.6 Mathematical Classification of Physical Problems
Problems
Chapter 4 Calculus
4.1 Derivatives
4.1.1 Basic Concept of a Derivative
4.1.2 Velocity from Displacement
4.1.3 Derivative of tn
4.1.4 Chain Rule
4.1.5 Product Rule
4.1.6 Partial Derivatives
4.2 Numerical Differentiation: Taylor Series
4.2.1 Taylor Series Expansion
4.2.2 First Derivatives Using Taylor Series
4.2.3 Second Derivatives Using Taylor Series
4.3 Integrals
4.3.1 Basic Concept of an Integral
4.3.2 Geometric Interpretation of an Integral: Area Under a Curve
4.3.3 Mean Value Theorem
4.3.4 Integration by Parts
4.3.5 Leibniz Rule: Derivatives of Integrals
4.4 Summary of Derivatives and Integrals
4.5 The Step, PULSE, and Delta Functions
4.5.1 The Step Function
4.5.2 The Unit Pulse Function
4.5.3 The Delta Function
4.6 Numerical Integration
4.6.1 Trapezoid Rule
4.6.2 Trapezoid Rule for Unequal Segments
4.6.3 Simpson’s Rule
4.6.4 Simpson’s 3/8 Rule
4.6.5 Gauss Quadrature
4.7 Multiple Integrals
Problems
Chapter 5 Linear Algebra
5.1 Introduction
5.2 Cause and Effect
5.3 Applications
5.3.1 Networks
5.3.2 Finite Difference Equations
5.4 Geometric Interpretations
5.4.1 Row Interpretation
5.4.2 Column Interpretation
5.5 Possibility of Solutions
5.6 Characteristics of Square Matrices
5.7 Square, Overdetermined, and Underdetermined Systems
5.7.1 Overdetermined Systems
5.7.2 Underdetermined Systems
5.7.3 Square Systems
5.8 Row Operations
5.9 The Determinant and Cramer’s Rule
5.10 Gaussian Elimination
5.10.1 Naïve Gaussian Elimination
5.10.2 Pivoting
5.10.3 Tridiagonal Systems
5.11 LU Factorization
5.12 Gauss–Seidel Iteration
5.13 Matrix Inversion
5.14 Least Squares Regression
Problems
Chapter 6 Nonlinear Algebra: Root Finding
6.1 Introduction
6.2 Applications
6.2.1 Simple Interest
6.2.2 Thermodynamic Equations of State
6.2.3 Heat Transfer: Thermal Radiation
6.2.4 Design of an Electric Circuit
6.3 Root Finding Methods
6.4 Graphical Method
6.5 Bisection Method
6.6 False Position Method
6.7 Newton–Raphson Method
6.8 Secant Method
6.9 Roots of Simultaneous Nonlinear Equations
Problems
Chapter 7 Introduction to Ordinary Differential Equations
7.1 Classification of Ordinary Differential Equations
7.1.1 Autonomous versus Nonautonomous Systems
7.1.2 Initial Value and Boundary Value Problems
7.2 First-Order Ordinary Differential Equations
7.2.1 First-Order Phase Portraits
7.2.2 Nonautonomous Systems
7.2.3 First-Order Linear Equations
7.2.4 Lumped Thermal Models
7.2.5 RC Electrical Circuit
7.2.6 First-Order Nonlinear Equations
7.2.7 Population Dynamics
7.3 Second-Order Initial Value Problems
7.3.1 Second-Order Phase Portraits
7.3.2 Second-Order Linear Equations
7.3.3 Mechanical Vibrations
7.3.4 Mechanical and Electrical Circuits
7.3.5 Second-Order Nonlinear Equations
7.3.6 The Pendulum
7.3.7 Predator–Prey Models
7.4 Second-Order Boundary Value Problems
7.5 Higher-Order Systems
Problems
Chapter 8 Laplace Transforms
8.1 Definition of the Laplace Transform
8.2 Laplace Transform Pairs
8.3 Properties of the Laplace Transform
8.4 The Inverse Laplace Transformation
8.4.1 Partial-Fraction Expansion Method
8.4.2 Partial-Fraction Expansion for Distinct Poles
8.4.3 Partial-Fraction Expansion for Multiple Poles
8.5 Solutions of Linear Ordinary Differential Equation
8.5.1 General Strategy
8.5.2 First-Order Ordinary Differential Equations
8.5.3 Second-Order Ordinary Differential Equations
8.6 The Transfer Function
8.6.1 The Impulse Response
8.6.2 First-Order Ordinary Differential Equations
Problems
Chapter 9 Numerical Solutions of Ordinary Differential Equations
9.1 Introduction to Numerical Solutions
9.2 Runge–Kutta Methods
9.2.1 Euler’s Method
9.2.2 Heun’s Method
9.2.3 Higher-Order Runge–Kutta Methods
9.2.4 Numerical Comparison of Runge–Kutta Schemes
9.3 Coupled Systems of First-Order Differential Equations
9.4 Second-Order Initial Value Problems
9.5 Implicit Schemes
9.6 Second-Order Boundary Value Problems: The Shooting Method
Problems
Chapter 10 First-Order Ordinary Differential Equations
10.1 Stability of the Fixed Points
10.1.1 RC Electrical Circuit
10.1.2 Population Model
10.2 Characteristics of Linear Systems
10.3 Solution Using Integrating Factors
10.4 First-Order Nonlinear Systems and Bifurcations
10.4.1 Saddle-Node Bifurcation
10.4.2 Transcritical Bifurcation
10.4.3 Example of a Transcritical Bifurcation: Laser Threshold
10.4.4 Supercritical Pitchfork Bifurcation
10.4.5 Subcritical Pitchfork Bifurcation
Problems
Chapter 11 Second-Order Ordinary Differential Equations
11.1 Linear Systems
11.2 Classification of Linear Systems
11.3 Classical Spring-Mass-Damper
11.4 Stability Analysis of the Fixed Points
11.5 Pendulum
11.5.1 Fixed Points: No Forcing, No Damping
11.5.2 Fixed Points: General Case
11.6 Competition Models
11.6.1 Coexistence
11.6.2 Extinction
11.7 Limit Cycles
11.7.1 van der Pol Oscillator
11.7.2 Poincare–Bendixson Theorem
11.8 Bifurcations
11.8.1 Saddle-Node Bifurcation
11.8.2 Transcritical Bifurcation
11.8.3 Supercritical Pitchfork Bifurcation
11.8.4 Subcritical Pitchfork Bifurcation
11.8.5 Hopf Bifurcations
11.8.6 Supercritical Hopf Bifurcation
11.8.7 Subcritical Hopf Bifurcation
11.9 Coupled Oscillators
Problems: LINEAR SYSTEMS
Problems: NONLINEAR SYSTEMS
Index

Recent Posts

5 tips for a good business blog

Follow my blog with BloglovinAre you also looking for a good structure for your business blogs? That you finally have a serious and good structure for all your texts that are online? On your website but also on social media. In this review you will find 5 tips from Susanna Florie from her…

Study tips from a budding engineer

“Why engineering?” is a question I get often. The answer for me is simple: I like to solve problems. Engineering is a popular field for many reasons. Perhaps this is because almost everything around us is created by engineers in one way or another, and there are always new, emerging and exciting technologies impacting…

How do I study mathematics and pass my exam?

Not sure how best to study math ? Are you perhaps someone who starts studying the day before the exam? Then you know yourself that your situation is not the most ideal. Unfortunately, there is no magic bullet to make you a maths crack or pass your exam in no time . It is important to know that mathematics always builds on…

(0)
×