Chapter 4: Advanced Features of Sage
4.1. Using Sage with Multivariable Functions and Equations
4.2. Working with Large Formulas in Sage
- 4.2.2. Physics: Gravitation and Satellites
4.4. Matrices and Sage, Part 2
- 4.4.3. Right and Left System Solving
- 4.4.4. Matrix Inverses
- 4.4.5. Computing the Kernel of a Matrix
4.5. Vector Operations
4.6. Working with the Integers and Number Theory
- 4.6.2. More about Prime Numbers
4.12. Can Sage Do Sudoku?
4.15. Using Sage and LATEX, Part One
4.16. Matrices and Sage, Part 3
- 4.16.1. Introduction to Eigenvectors
- 4.16.2. Finding Eigenvalues Efficiently in Sage
- 4.16.4. Matrix Factorizations
- 4.16.5. Solving Linear Systems Approximately with Least Squares
4.17. Computing Taylor or MacLaurin Polynomials
- 4.17.1. Examples of Taylor Polynomials
- 4.17.2. An Application: Understanding How g Changes
4.18. Minimizations and Lagrange Multipliers
- 4.18.3. A Lagrange Multipliers Example in Sage
4.21. Systems of Inequalities and Linear Programming
4.22. Differential Equations
- 4.22.1. Some Easy Examples
- 4.22.2. An Initial-Value Problem
- 4.22.3. Graphing a Slope Field
- 4.22.4. The Torpedo Problem: Working with Parameters
4.24. Vector Calculus in Sage
- 4.24.2. Computing the Hessian Matrix
- 4.24.3. Computing the Laplacian
- 4.24.4. The Jacobian Matrix
- 4.24.5. The Divergence
- 4.24.6. Verifying an Old Identity
- 4.24.7. The Curl of a Vector-Valued Function
4.26. Complex Numbers and Sage
- 4.26.1. Working with Complex Numbers
- 4.26.5. Cube Roots and Higher-Order Roots
- 4.26.8. Polar Coordinates and Complex Numbers
- 4.26.10. Graphs of a Complex Function