Differential Calculus Using Mathematica
Differential Calculus using MATHEMATICA by Cesar Lopez Perez
English | Jan. 16, 2016 | ISBN: 152343905X | 184 Pages | AZW3/MOBI/EPUB/PDF (conv) | 8 MB
English | Jan. 16, 2016 | ISBN: 152343905X | 184 Pages | AZW3/MOBI/EPUB/PDF (conv) | 8 MB
Mathematica is a platform for scientific computing that helps you to work in virtually all areas of the experimental sciences and engineering. In particular, this software presents quite extensive capabilities and implements a large number of commands enabling you to efficiently handle problems involving Differential Calculus. Using Mathematica you will be able to work with Limits, Numerical and power series, Taylor and MacLaurin series, continuity, derivability, differentiability in several variables, optimization and differential equations. Mathematica also implements numerical methods for the approximate solution of differential equations.
Limits And Continuity. One And Several Variables:
1.1 Limits Of Sequences
1.2 Limits Of Functions. Lateral Limits
1.3 Continuity
1.4 Several Variables: Limits And Continuity. Characterization Theorems
1.5 Iterated And Directional Limits
1.6 Continuity In Several Variables
Numerical Series And Power Series
2.1 Series. Convergence Criteria
2.2 Numerical Series With Non-Negative Terms
2.3 Alternating Numerical Series
2.4 Power Series
2.5 Power Series Expansions And Functions
2.6 Taylor And Laurent Expansions
Derivatives And Applications. One And Several Variables
3.1 The Concept Of The Derivative
3.2 Calculating Derivatives
3.3 Tangents, Asymptotes, Concavity, Convexity, Maxima And Minima, Inflection Points And Growth
3.4 Applications To Practical Problems
3.5 Partial Derivatives
3.6 Implicit Differentiation
Derivability In Several Variables
4.1 Differentiation Of Functions Of Several Variables
4.2 Maxima And Minima Of Functions Of Several Variables
4.3 Conditional Minima And Maxima. The Method Of “Lagrange Multipliers”
4.4 Some Applications Of Maxima And Minima In Several Variables
Vector Differential Calculus And Theorems In Several Variables
5.1 Concepts Of Vector Differential Calculus
5.2 The Chain Rule
5.3 The Implicit Function Theorem
5.4 The Inverse Function Theorem
5.5 The Change Of Variables Theorem
5.6 Taylor’s Theorem With N Variables
5.7 Vector Fields. Curl, Divergence And The Laplacian
5.8 Coordinate Transformation
Differential Equations
6.1 Separation Of Variables
6.2 Homogeneous Differential Equations
6.3 Exact Differential Equations
6.4 Linear Differential Equations
6.5 Numerical Solutions To Differential Equations Of The First Order
6.6 Ordinary High-Order Equations
6.7 Higher-Order Linear Homogeneous Equations With Constant Coefficients
6.8 Non-Homogeneous Equations With Constant Coefficients. Variation Of Parameters
6.9 Non-Homogeneous Linear Equations With Variable Coefficients. Cauchy-Euler Equations
6.10 The Laplace Transform
6.11 Systems Of Linear Homogeneous Equations With Constant Coefficients
6.12 Systems Of Linear Non-Homogeneous Equations With Constant Coefficients
6.13 Higher Order Equations And Approximation Methods
6.14 The Euler Method
6.15 The Runge–Kutta Method
6.16 Differential Equations Systems By Approximate Methods
6.17 Differential Equations In Partial Derivatives
6.18 Orthogonal Polynomials
1.1 Limits Of Sequences
1.2 Limits Of Functions. Lateral Limits
1.3 Continuity
1.4 Several Variables: Limits And Continuity. Characterization Theorems
1.5 Iterated And Directional Limits
1.6 Continuity In Several Variables
Numerical Series And Power Series
2.1 Series. Convergence Criteria
2.2 Numerical Series With Non-Negative Terms
2.3 Alternating Numerical Series
2.4 Power Series
2.5 Power Series Expansions And Functions
2.6 Taylor And Laurent Expansions
Derivatives And Applications. One And Several Variables
3.1 The Concept Of The Derivative
3.2 Calculating Derivatives
3.3 Tangents, Asymptotes, Concavity, Convexity, Maxima And Minima, Inflection Points And Growth
3.4 Applications To Practical Problems
3.5 Partial Derivatives
3.6 Implicit Differentiation
Derivability In Several Variables
4.1 Differentiation Of Functions Of Several Variables
4.2 Maxima And Minima Of Functions Of Several Variables
4.3 Conditional Minima And Maxima. The Method Of “Lagrange Multipliers”
4.4 Some Applications Of Maxima And Minima In Several Variables
Vector Differential Calculus And Theorems In Several Variables
5.1 Concepts Of Vector Differential Calculus
5.2 The Chain Rule
5.3 The Implicit Function Theorem
5.4 The Inverse Function Theorem
5.5 The Change Of Variables Theorem
5.6 Taylor’s Theorem With N Variables
5.7 Vector Fields. Curl, Divergence And The Laplacian
5.8 Coordinate Transformation
Differential Equations
6.1 Separation Of Variables
6.2 Homogeneous Differential Equations
6.3 Exact Differential Equations
6.4 Linear Differential Equations
6.5 Numerical Solutions To Differential Equations Of The First Order
6.6 Ordinary High-Order Equations
6.7 Higher-Order Linear Homogeneous Equations With Constant Coefficients
6.8 Non-Homogeneous Equations With Constant Coefficients. Variation Of Parameters
6.9 Non-Homogeneous Linear Equations With Variable Coefficients. Cauchy-Euler Equations
6.10 The Laplace Transform
6.11 Systems Of Linear Homogeneous Equations With Constant Coefficients
6.12 Systems Of Linear Non-Homogeneous Equations With Constant Coefficients
6.13 Higher Order Equations And Approximation Methods
6.14 The Euler Method
6.15 The Runge–Kutta Method
6.16 Differential Equations Systems By Approximate Methods
6.17 Differential Equations In Partial Derivatives
6.18 Orthogonal Polynomials