Numerical Methods and Analysis with Mathematical Modelling
portes grátis
Numerical Methods and Analysis with Mathematical Modelling
West, Richard D.; Fox, William P.
Taylor & Francis Ltd
08/2024
403
Dura
9781032697239
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Chapter 1 Review of Differential Calculus
1.1. Introduction
1.2 Limits
1.3 Continuity
1.3 Differentiation
1.3.1 Increasing and decreasing functions
Example 8
1.3.2 Higher Derivatives
1.4 Convex and Concave Functions
Example 13. The 2nd derivative theorem
Exercises
1.5 Accumulation and Integration
Exercises 1.5
1.6 Taylor Polynomials
Exercises 1.7
1.7 Errors
1.8. Algorithms Accuracy
References and Further Readings
Chapter 2 Mathematical Modeling and Introduction to Technology: Perfect Partners
2.1 OVERVIEW AND THE PROCESS OF MATHEMATICAL MODELING..
2.2 THE MODLEING PROCESS
2.3 Making ASSUMPTIONS
2.4 ILLUSTRATE EXAMPLES
2.5 Technology
Exercises Chapter 2
References and Additional Readings
Chapter 3 Modeling with Discrete Dynamical Systems and Modeling Systems of DDS
3.1 Introduction Modeling with Discrete Dynamical Systems
3.2 Equilibrium and Stability Values and Long-Term Behavior
3.3 Using Python for a drug problem
3.4 Introduction to Systems of Discrete Dynamical Systems
3.4.1 Iteration and Graphical Solution
3.5 Modeling of Predator - Prey model, SIR Model, and Military Models
3.6 Technology Examples for Discrete Dynamical Systems
3.6.1 Excel for Linear and Nonlinear DDS
3.6.2 Maple for Linear and Nonlinear DDS
3.6.3 R for Linear and Nonlinear DDS
Example 2. Population dynamics using R
Exercises Chapter 3
Projects
References and Suggested Future Readings
CHAPTER 4 Numerical Solutions to Equations in One Variable
4.1 Introduction and Scenario
4.2 Archimedes' design of ships
4.3 Bisection Method
4.4 Fixed Point Algorithm
4.5 Newton's Method
4.6 Secant Method
4.6.1 Archimedes' Example with secant method
Example 4.6.2 Buying a car using Secant method
4.7 Root Find as a DDS
4.7.1 Example of Newton's Using EXCEL
4.7.1 Root finding with Python
Exercises
Projects
References and Further Readings
CHAPTER 5 Interpolation and Polynomial Approximation
5.1 Introduction
5.2 Methods
5.2.1 Lagrange Polynomials
5.3 Lagrange Polynomials
5.4 Divided Differences
5.5 Cubic Splines
5.6 Telemetry Modeling and Lagrange Polynomials
5.7 Method of Divided Differences with Telemetry Data
5.8 NATURAL CUBIC SPLINE INTERPOLATION to Telemetry Data
5.9 Comparisons for Methods
5.10 Estimating the Error
5.11 Radiation Dosage Model
Exercises
Projects
References and Further Readings
Chapter 6 Numerical Differentiation and Integration
6.1 Introduction and Scenario
6.2 Numerical Differentiation
6.3 Numerical Integration
6.3 Car traveling problem
6.4 Revisit a Telemetry Model
6.5 Volume of Water in a Tank
EXERCISES/Projects
CHAPTER 7 Modeling with Numerical Solutions to Differential Equations---IVP for ODEs
7.1 Introduction and Scenario
Bridge Bungee Jumping
Spread of a Contagious Disease
7.2 Numerical Methods
7.2.1 Euler's Method
7.2.2 Improved Euler's Method (Heun's method)
7.2.3 Runge-Kutta Methods
7.3 Population Modeling
7.4 Spread of a contagious disease
7.5 Bungee Jumping
7.6 Revisit Bungee as a 2nd order ODE IVP
7.6 Harvesting a Species
EXERCISES
7.7 System of ODEs
Projects
CHAPTER 8 Iterative Techniques in Matrix Algebra
8.1 Gauss Seidel and Jacobi
8.1.1 Gauss-Seidel Iterative Method
8.1.2 Jacobi Method
8.2 A Bridge Too Far
8.2 The Leontief Input-Output Economic Model
8.3 Markov Chains with Eigenvalues and Eigenvectors
8.4 Cubic Splines with Matrices
Exercises
Projects
References and Further Readings
CHAPTER 9 Modeling with Single Variable Unconstrained Optimization and Numerical Methods
9.1 Introduction
9.2 Single Variable Optimization and Basic Theory
9..3 Models with Basic Applications of Max-Min Theory (calculus review)
9.3 Applied Single Variable Optimization Models
9.3.1 Oil Rig Location Problem
9.4 Single Variable Numerical Search Techniques
9.4.1 Unrestricted Search
9.4.2 Dichotomous Search
9.4.3 Golden Section Search
9.4.4 Fibonacci Search
9.5 INTERPLOATION WITH DERIVATIVES: NEWTON'S METHOD FOR NONLINEAR OPTIMZATION
Exercises 9.5
Projects
Reference and Further Readings
Chapter 10 Multivariable Numerical Search Methods
10.1 Introduction
10.1.1 Background theory
10.2 Gradient Search Methods
10.3 Modified Newton's Method
10.4 Applications
10.4.1 Manufacturing
10.4.2 TV Manufacturing
EXERCISES
Projects
References and FURTHER READING
CHAPTER 11 Boundary Value Problems in ODE
11.1 Introduction
11.2 Linear Shooting Method
11.3 Linear Finite Differences Method
11.4 Applications
11.4.1 Motorcycle suspension
11.4.2 Parachuting by skydiving Free Fall
11.4.3 Free Fall
11.4.4 Bungee Two
11.4.5 Heat transfer
11.6 Beam Deflection
Exercises
Projects
References and Further Readings
CHAPTER 12 Approximation Theory and Curve Fitting
12.1 Introduction
12.2 Model Fitting
12.3 Application of Planning and Production Control
12.3 Continuous Least Squares
12.4 Co-Sign Out a Cosine
Exercises
Projects
Exercises
References and Further readings
Chapter 13 Numerical Solutions to Partial Differential Equations
13.1 Introduction, Methods, and Applications
13.1.2 Methods
13.1.2 Application Scenario
13.2 Solving the Heat Equation with Homogeneous Boundary Conditions
13.3 Methods with Python
Exercises
Projects
References and Furthe Readings
1.1. Introduction
1.2 Limits
1.3 Continuity
1.3 Differentiation
1.3.1 Increasing and decreasing functions
Example 8
1.3.2 Higher Derivatives
1.4 Convex and Concave Functions
Example 13. The 2nd derivative theorem
Exercises
1.5 Accumulation and Integration
Exercises 1.5
1.6 Taylor Polynomials
Exercises 1.7
1.7 Errors
1.8. Algorithms Accuracy
References and Further Readings
Chapter 2 Mathematical Modeling and Introduction to Technology: Perfect Partners
2.1 OVERVIEW AND THE PROCESS OF MATHEMATICAL MODELING..
2.2 THE MODLEING PROCESS
2.3 Making ASSUMPTIONS
2.4 ILLUSTRATE EXAMPLES
2.5 Technology
Exercises Chapter 2
References and Additional Readings
Chapter 3 Modeling with Discrete Dynamical Systems and Modeling Systems of DDS
3.1 Introduction Modeling with Discrete Dynamical Systems
3.2 Equilibrium and Stability Values and Long-Term Behavior
3.3 Using Python for a drug problem
3.4 Introduction to Systems of Discrete Dynamical Systems
3.4.1 Iteration and Graphical Solution
3.5 Modeling of Predator - Prey model, SIR Model, and Military Models
3.6 Technology Examples for Discrete Dynamical Systems
3.6.1 Excel for Linear and Nonlinear DDS
3.6.2 Maple for Linear and Nonlinear DDS
3.6.3 R for Linear and Nonlinear DDS
Example 2. Population dynamics using R
Exercises Chapter 3
Projects
References and Suggested Future Readings
CHAPTER 4 Numerical Solutions to Equations in One Variable
4.1 Introduction and Scenario
4.2 Archimedes' design of ships
4.3 Bisection Method
4.4 Fixed Point Algorithm
4.5 Newton's Method
4.6 Secant Method
4.6.1 Archimedes' Example with secant method
Example 4.6.2 Buying a car using Secant method
4.7 Root Find as a DDS
4.7.1 Example of Newton's Using EXCEL
4.7.1 Root finding with Python
Exercises
Projects
References and Further Readings
CHAPTER 5 Interpolation and Polynomial Approximation
5.1 Introduction
5.2 Methods
5.2.1 Lagrange Polynomials
5.3 Lagrange Polynomials
5.4 Divided Differences
5.5 Cubic Splines
5.6 Telemetry Modeling and Lagrange Polynomials
5.7 Method of Divided Differences with Telemetry Data
5.8 NATURAL CUBIC SPLINE INTERPOLATION to Telemetry Data
5.9 Comparisons for Methods
5.10 Estimating the Error
5.11 Radiation Dosage Model
Exercises
Projects
References and Further Readings
Chapter 6 Numerical Differentiation and Integration
6.1 Introduction and Scenario
6.2 Numerical Differentiation
6.3 Numerical Integration
6.3 Car traveling problem
6.4 Revisit a Telemetry Model
6.5 Volume of Water in a Tank
EXERCISES/Projects
CHAPTER 7 Modeling with Numerical Solutions to Differential Equations---IVP for ODEs
7.1 Introduction and Scenario
Bridge Bungee Jumping
Spread of a Contagious Disease
7.2 Numerical Methods
7.2.1 Euler's Method
7.2.2 Improved Euler's Method (Heun's method)
7.2.3 Runge-Kutta Methods
7.3 Population Modeling
7.4 Spread of a contagious disease
7.5 Bungee Jumping
7.6 Revisit Bungee as a 2nd order ODE IVP
7.6 Harvesting a Species
EXERCISES
7.7 System of ODEs
Projects
CHAPTER 8 Iterative Techniques in Matrix Algebra
8.1 Gauss Seidel and Jacobi
8.1.1 Gauss-Seidel Iterative Method
8.1.2 Jacobi Method
8.2 A Bridge Too Far
8.2 The Leontief Input-Output Economic Model
8.3 Markov Chains with Eigenvalues and Eigenvectors
8.4 Cubic Splines with Matrices
Exercises
Projects
References and Further Readings
CHAPTER 9 Modeling with Single Variable Unconstrained Optimization and Numerical Methods
9.1 Introduction
9.2 Single Variable Optimization and Basic Theory
9..3 Models with Basic Applications of Max-Min Theory (calculus review)
9.3 Applied Single Variable Optimization Models
9.3.1 Oil Rig Location Problem
9.4 Single Variable Numerical Search Techniques
9.4.1 Unrestricted Search
9.4.2 Dichotomous Search
9.4.3 Golden Section Search
9.4.4 Fibonacci Search
9.5 INTERPLOATION WITH DERIVATIVES: NEWTON'S METHOD FOR NONLINEAR OPTIMZATION
Exercises 9.5
Projects
Reference and Further Readings
Chapter 10 Multivariable Numerical Search Methods
10.1 Introduction
10.1.1 Background theory
10.2 Gradient Search Methods
10.3 Modified Newton's Method
10.4 Applications
10.4.1 Manufacturing
10.4.2 TV Manufacturing
EXERCISES
Projects
References and FURTHER READING
CHAPTER 11 Boundary Value Problems in ODE
11.1 Introduction
11.2 Linear Shooting Method
11.3 Linear Finite Differences Method
11.4 Applications
11.4.1 Motorcycle suspension
11.4.2 Parachuting by skydiving Free Fall
11.4.3 Free Fall
11.4.4 Bungee Two
11.4.5 Heat transfer
11.6 Beam Deflection
Exercises
Projects
References and Further Readings
CHAPTER 12 Approximation Theory and Curve Fitting
12.1 Introduction
12.2 Model Fitting
12.3 Application of Planning and Production Control
12.3 Continuous Least Squares
12.4 Co-Sign Out a Cosine
Exercises
Projects
Exercises
References and Further readings
Chapter 13 Numerical Solutions to Partial Differential Equations
13.1 Introduction, Methods, and Applications
13.1.2 Methods
13.1.2 Application Scenario
13.2 Solving the Heat Equation with Homogeneous Boundary Conditions
13.3 Methods with Python
Exercises
Projects
References and Furthe Readings
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Algorithms;applications
Chapter 1 Review of Differential Calculus
1.1. Introduction
1.2 Limits
1.3 Continuity
1.3 Differentiation
1.3.1 Increasing and decreasing functions
Example 8
1.3.2 Higher Derivatives
1.4 Convex and Concave Functions
Example 13. The 2nd derivative theorem
Exercises
1.5 Accumulation and Integration
Exercises 1.5
1.6 Taylor Polynomials
Exercises 1.7
1.7 Errors
1.8. Algorithms Accuracy
References and Further Readings
Chapter 2 Mathematical Modeling and Introduction to Technology: Perfect Partners
2.1 OVERVIEW AND THE PROCESS OF MATHEMATICAL MODELING..
2.2 THE MODLEING PROCESS
2.3 Making ASSUMPTIONS
2.4 ILLUSTRATE EXAMPLES
2.5 Technology
Exercises Chapter 2
References and Additional Readings
Chapter 3 Modeling with Discrete Dynamical Systems and Modeling Systems of DDS
3.1 Introduction Modeling with Discrete Dynamical Systems
3.2 Equilibrium and Stability Values and Long-Term Behavior
3.3 Using Python for a drug problem
3.4 Introduction to Systems of Discrete Dynamical Systems
3.4.1 Iteration and Graphical Solution
3.5 Modeling of Predator - Prey model, SIR Model, and Military Models
3.6 Technology Examples for Discrete Dynamical Systems
3.6.1 Excel for Linear and Nonlinear DDS
3.6.2 Maple for Linear and Nonlinear DDS
3.6.3 R for Linear and Nonlinear DDS
Example 2. Population dynamics using R
Exercises Chapter 3
Projects
References and Suggested Future Readings
CHAPTER 4 Numerical Solutions to Equations in One Variable
4.1 Introduction and Scenario
4.2 Archimedes' design of ships
4.3 Bisection Method
4.4 Fixed Point Algorithm
4.5 Newton's Method
4.6 Secant Method
4.6.1 Archimedes' Example with secant method
Example 4.6.2 Buying a car using Secant method
4.7 Root Find as a DDS
4.7.1 Example of Newton's Using EXCEL
4.7.1 Root finding with Python
Exercises
Projects
References and Further Readings
CHAPTER 5 Interpolation and Polynomial Approximation
5.1 Introduction
5.2 Methods
5.2.1 Lagrange Polynomials
5.3 Lagrange Polynomials
5.4 Divided Differences
5.5 Cubic Splines
5.6 Telemetry Modeling and Lagrange Polynomials
5.7 Method of Divided Differences with Telemetry Data
5.8 NATURAL CUBIC SPLINE INTERPOLATION to Telemetry Data
5.9 Comparisons for Methods
5.10 Estimating the Error
5.11 Radiation Dosage Model
Exercises
Projects
References and Further Readings
Chapter 6 Numerical Differentiation and Integration
6.1 Introduction and Scenario
6.2 Numerical Differentiation
6.3 Numerical Integration
6.3 Car traveling problem
6.4 Revisit a Telemetry Model
6.5 Volume of Water in a Tank
EXERCISES/Projects
CHAPTER 7 Modeling with Numerical Solutions to Differential Equations---IVP for ODEs
7.1 Introduction and Scenario
Bridge Bungee Jumping
Spread of a Contagious Disease
7.2 Numerical Methods
7.2.1 Euler's Method
7.2.2 Improved Euler's Method (Heun's method)
7.2.3 Runge-Kutta Methods
7.3 Population Modeling
7.4 Spread of a contagious disease
7.5 Bungee Jumping
7.6 Revisit Bungee as a 2nd order ODE IVP
7.6 Harvesting a Species
EXERCISES
7.7 System of ODEs
Projects
CHAPTER 8 Iterative Techniques in Matrix Algebra
8.1 Gauss Seidel and Jacobi
8.1.1 Gauss-Seidel Iterative Method
8.1.2 Jacobi Method
8.2 A Bridge Too Far
8.2 The Leontief Input-Output Economic Model
8.3 Markov Chains with Eigenvalues and Eigenvectors
8.4 Cubic Splines with Matrices
Exercises
Projects
References and Further Readings
CHAPTER 9 Modeling with Single Variable Unconstrained Optimization and Numerical Methods
9.1 Introduction
9.2 Single Variable Optimization and Basic Theory
9..3 Models with Basic Applications of Max-Min Theory (calculus review)
9.3 Applied Single Variable Optimization Models
9.3.1 Oil Rig Location Problem
9.4 Single Variable Numerical Search Techniques
9.4.1 Unrestricted Search
9.4.2 Dichotomous Search
9.4.3 Golden Section Search
9.4.4 Fibonacci Search
9.5 INTERPLOATION WITH DERIVATIVES: NEWTON'S METHOD FOR NONLINEAR OPTIMZATION
Exercises 9.5
Projects
Reference and Further Readings
Chapter 10 Multivariable Numerical Search Methods
10.1 Introduction
10.1.1 Background theory
10.2 Gradient Search Methods
10.3 Modified Newton's Method
10.4 Applications
10.4.1 Manufacturing
10.4.2 TV Manufacturing
EXERCISES
Projects
References and FURTHER READING
CHAPTER 11 Boundary Value Problems in ODE
11.1 Introduction
11.2 Linear Shooting Method
11.3 Linear Finite Differences Method
11.4 Applications
11.4.1 Motorcycle suspension
11.4.2 Parachuting by skydiving Free Fall
11.4.3 Free Fall
11.4.4 Bungee Two
11.4.5 Heat transfer
11.6 Beam Deflection
Exercises
Projects
References and Further Readings
CHAPTER 12 Approximation Theory and Curve Fitting
12.1 Introduction
12.2 Model Fitting
12.3 Application of Planning and Production Control
12.3 Continuous Least Squares
12.4 Co-Sign Out a Cosine
Exercises
Projects
Exercises
References and Further readings
Chapter 13 Numerical Solutions to Partial Differential Equations
13.1 Introduction, Methods, and Applications
13.1.2 Methods
13.1.2 Application Scenario
13.2 Solving the Heat Equation with Homogeneous Boundary Conditions
13.3 Methods with Python
Exercises
Projects
References and Furthe Readings
1.1. Introduction
1.2 Limits
1.3 Continuity
1.3 Differentiation
1.3.1 Increasing and decreasing functions
Example 8
1.3.2 Higher Derivatives
1.4 Convex and Concave Functions
Example 13. The 2nd derivative theorem
Exercises
1.5 Accumulation and Integration
Exercises 1.5
1.6 Taylor Polynomials
Exercises 1.7
1.7 Errors
1.8. Algorithms Accuracy
References and Further Readings
Chapter 2 Mathematical Modeling and Introduction to Technology: Perfect Partners
2.1 OVERVIEW AND THE PROCESS OF MATHEMATICAL MODELING..
2.2 THE MODLEING PROCESS
2.3 Making ASSUMPTIONS
2.4 ILLUSTRATE EXAMPLES
2.5 Technology
Exercises Chapter 2
References and Additional Readings
Chapter 3 Modeling with Discrete Dynamical Systems and Modeling Systems of DDS
3.1 Introduction Modeling with Discrete Dynamical Systems
3.2 Equilibrium and Stability Values and Long-Term Behavior
3.3 Using Python for a drug problem
3.4 Introduction to Systems of Discrete Dynamical Systems
3.4.1 Iteration and Graphical Solution
3.5 Modeling of Predator - Prey model, SIR Model, and Military Models
3.6 Technology Examples for Discrete Dynamical Systems
3.6.1 Excel for Linear and Nonlinear DDS
3.6.2 Maple for Linear and Nonlinear DDS
3.6.3 R for Linear and Nonlinear DDS
Example 2. Population dynamics using R
Exercises Chapter 3
Projects
References and Suggested Future Readings
CHAPTER 4 Numerical Solutions to Equations in One Variable
4.1 Introduction and Scenario
4.2 Archimedes' design of ships
4.3 Bisection Method
4.4 Fixed Point Algorithm
4.5 Newton's Method
4.6 Secant Method
4.6.1 Archimedes' Example with secant method
Example 4.6.2 Buying a car using Secant method
4.7 Root Find as a DDS
4.7.1 Example of Newton's Using EXCEL
4.7.1 Root finding with Python
Exercises
Projects
References and Further Readings
CHAPTER 5 Interpolation and Polynomial Approximation
5.1 Introduction
5.2 Methods
5.2.1 Lagrange Polynomials
5.3 Lagrange Polynomials
5.4 Divided Differences
5.5 Cubic Splines
5.6 Telemetry Modeling and Lagrange Polynomials
5.7 Method of Divided Differences with Telemetry Data
5.8 NATURAL CUBIC SPLINE INTERPOLATION to Telemetry Data
5.9 Comparisons for Methods
5.10 Estimating the Error
5.11 Radiation Dosage Model
Exercises
Projects
References and Further Readings
Chapter 6 Numerical Differentiation and Integration
6.1 Introduction and Scenario
6.2 Numerical Differentiation
6.3 Numerical Integration
6.3 Car traveling problem
6.4 Revisit a Telemetry Model
6.5 Volume of Water in a Tank
EXERCISES/Projects
CHAPTER 7 Modeling with Numerical Solutions to Differential Equations---IVP for ODEs
7.1 Introduction and Scenario
Bridge Bungee Jumping
Spread of a Contagious Disease
7.2 Numerical Methods
7.2.1 Euler's Method
7.2.2 Improved Euler's Method (Heun's method)
7.2.3 Runge-Kutta Methods
7.3 Population Modeling
7.4 Spread of a contagious disease
7.5 Bungee Jumping
7.6 Revisit Bungee as a 2nd order ODE IVP
7.6 Harvesting a Species
EXERCISES
7.7 System of ODEs
Projects
CHAPTER 8 Iterative Techniques in Matrix Algebra
8.1 Gauss Seidel and Jacobi
8.1.1 Gauss-Seidel Iterative Method
8.1.2 Jacobi Method
8.2 A Bridge Too Far
8.2 The Leontief Input-Output Economic Model
8.3 Markov Chains with Eigenvalues and Eigenvectors
8.4 Cubic Splines with Matrices
Exercises
Projects
References and Further Readings
CHAPTER 9 Modeling with Single Variable Unconstrained Optimization and Numerical Methods
9.1 Introduction
9.2 Single Variable Optimization and Basic Theory
9..3 Models with Basic Applications of Max-Min Theory (calculus review)
9.3 Applied Single Variable Optimization Models
9.3.1 Oil Rig Location Problem
9.4 Single Variable Numerical Search Techniques
9.4.1 Unrestricted Search
9.4.2 Dichotomous Search
9.4.3 Golden Section Search
9.4.4 Fibonacci Search
9.5 INTERPLOATION WITH DERIVATIVES: NEWTON'S METHOD FOR NONLINEAR OPTIMZATION
Exercises 9.5
Projects
Reference and Further Readings
Chapter 10 Multivariable Numerical Search Methods
10.1 Introduction
10.1.1 Background theory
10.2 Gradient Search Methods
10.3 Modified Newton's Method
10.4 Applications
10.4.1 Manufacturing
10.4.2 TV Manufacturing
EXERCISES
Projects
References and FURTHER READING
CHAPTER 11 Boundary Value Problems in ODE
11.1 Introduction
11.2 Linear Shooting Method
11.3 Linear Finite Differences Method
11.4 Applications
11.4.1 Motorcycle suspension
11.4.2 Parachuting by skydiving Free Fall
11.4.3 Free Fall
11.4.4 Bungee Two
11.4.5 Heat transfer
11.6 Beam Deflection
Exercises
Projects
References and Further Readings
CHAPTER 12 Approximation Theory and Curve Fitting
12.1 Introduction
12.2 Model Fitting
12.3 Application of Planning and Production Control
12.3 Continuous Least Squares
12.4 Co-Sign Out a Cosine
Exercises
Projects
Exercises
References and Further readings
Chapter 13 Numerical Solutions to Partial Differential Equations
13.1 Introduction, Methods, and Applications
13.1.2 Methods
13.1.2 Application Scenario
13.2 Solving the Heat Equation with Homogeneous Boundary Conditions
13.3 Methods with Python
Exercises
Projects
References and Furthe Readings
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
