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MAT 149 Topics In Finite Mathematics

Nguồn ngoài

MAT 149 Topics In Finite Mathematics

Mathematics
Tác giả
Daniel Holz
Nhà xuất bản
SUNY Schenectady County Community College
Nguồn
LibreTexts
Ngôn ngữ
EN
Danh mục
Khoa học cơ bản
Đọc trực tuyến Tải PDF (nguồn mở)
Mục lục· 74 mục
  1. 01: Logic
  2. 1.01: Statements and Truth Values
  3. 1.1.01: Introduction
  4. 1.1.02: Statements and Quantifiers
  5. 1.1.03: Compound Statements
  6. 1.02: Truth Tables
  7. 1.2.01: Constructing Truth Tables
  8. 1.2.02: Truth Tables for the Conditional and Biconditional
  9. 1.03: Conditional Statements
  10. 1.3.01: Equivalent Statements
  11. 1.04: Deductive Arguments
  12. 1.4.01: Evaluating Deductive Arguments with Truth Tables
  13. 1.4.02: Forms of Valid Arguments
  14. 02: Functions
  15. 2.01: Functions
  16. 2.1.01: Function Notation
  17. 2.1.02: Domain and Range of a Function
  18. 2.1.03: Piecewise-defined Functions
  19. 2.1.04: Graphing Equations by Hand
  20. 2.02: Linear Functions
  21. 2.2.01: Slope of a Line
  22. 2.2.1E: Exercises
  23. 2.2.02: Find the Equation of a Line
  24. 2.03: Linear Models
  25. 2.3.01: Linear Models
  26. 2.3.02: Cost-Revenue-Net Income Analysis (Need to Be in the Know)
  27. 2.04: Graphing Linear Functions
  28. 2.4.01: Graphing Linear Equations
  29. 2.05: Linear Regression
  30. 03: Systems and Matrices
  31. 3.01: Systems of Linear Equations
  32. 3.1.01: Solving a System of Equations Algebraically
  33. 3.02: Matrices
  34. 3.2.01: Gaussian Elimination
  35. 3.03: Solving Using Matrices
  36. 3.3.01: Gaussian Elimination
  37. 3.04: Matrix Algebra
  38. 3.4.01: Matrix Arithmetic
  39. 3.4.02: Multiplication of Matrices
  40. 3.4.03: The ijth Entry of a Product
  41. 3.05: Matrix Inverses
  42. 3.5.01: The Identity and Inverses
  43. 3.5.02: Finding the Inverse of a Matrix
  44. 3.5.03: The Matrix Inverse
  45. 3.5.3.01: Exercises 2.6
  46. 3.06: Linear Inequalities
  47. 3.6.01: Solving Systems of Linear Inequalities (Two Variables)
  48. 3.07: Linear Programming
  49. 3.7.01: Maximization Applications
  50. 3.7.1.01: Maximization Applications (Exercises)
  51. 3.7.02: Minimization Applications
  52. 04: Sets and Counting
  53. 4.01: Sets and Operations
  54. 4.1.01: Basics of Sets
  55. 4.1.02: Union Intersection and Complement
  56. 4.1.03: Venn Diagrams
  57. 4.02: Number of Elements in a Set
  58. 4.2.01: Cardinality
  59. 4.03: Multiplication Principle
  60. 4.3.01: Tree Diagrams Tables and Outcomes
  61. 4.3.02: The Multiplication Rule for Counting
  62. 4.04: Permutations and Combinations
  63. 4.4.01: Permutations
  64. 4.4.02: Combinations
  65. 05: Probability
  66. 5.01: Sample Spaces and Probability
  67. 5.1.01: Basic Concepts
  68. 5.02: Probability Rules
  69. 5.2.01: The Addition Rule for Probability
  70. 5.2.02: Conditional Probability and the Multiplication Rule
  71. 5.03: Binomial Distributions
  72. 5.3.01: The Binomial Distribution
  73. 5.04: Markov Chains
  74. 5.4.01: Stochastic Matrices