• Jekyll Chapterbook Theme
  • Matematika
  • Table of Contents
  • Part 1: Sets and numbers
  • 1. Sets
  • 2. Types Of Numbers
  • 3. Natural Numbers
  • 4. Integers
  • 5. Modulo Operator
  • 6. Real Numbers
  • 7. Properties Of Real Numbers
  • 8. Absolute Value
  • 9. Intervals
  • 10. Supremum and Infimum
  • 11.
  • 12. Binomial Coefficient
  • Part 2: Algebraic structures
  • 13.
  • 14. Rings
  • 15. Fields
  • 16. Vector Spaces
  • Part 3: Powers radicals and logarithms
  • 17.
  • 18. Radicals
  • 19. Logarithms
  • Part 4: Complex numbers
  • 20. Complex Numbers
  • 21. Operations with Complex Numbers
  • 22. Complex Numbers in Trigonometric Form
  • 23.
  • 24. De Moivre’s Theorem
  • 25. Roots of Unity
  • Part 5: Trigonometry
  • 26. Unit Circle
  • 27. Sine and Cosine
  • 28. Tangent and Cotangent
  • 29. Secant and Cosecant
  • 30. Arcsine and Arccosine
  • 31. Arctangent and Arccotangent
  • 32. Hyperbolic Sine and Cosine
  • 33. Hyperbolic Tangent and Cotangent
  • 34.
  • 35. Trigonometric Identities
  • 36. Pythagorean Identity
  • 37.
  • 38. Reduction Formulas and Reference Angles
  • 39. The Law of Sines
  • 40. The Law of Cosines
  • Part 6: Polynomials
  • 41.
  • 42. Monomials
  • 43. Binomials
  • 44. Trinomials
  • 45. Adding and Subtracting Polynomials
  • 46. Polynomial Division
  • 47. The Synthetic Division Method
  • 48. Roots of a Polynomial
  • 49. Binomial Theorem
  • 50.
  • 51.
  • 52. Notable Products
  • 53. Partial Fraction Decomposition
  • Part 7: Equations
  • 54. Equations
  • 55.
  • 56. Linear Equations
  • 57.
  • 58.
  • 59. Factoring Quadratic Equations
  • 60. Incomplete Quadratic Equations
  • 61. The Geometric Interpretation of Quadratic Equations
  • 62. Loss of Roots
  • 63.
  • 64.
  • 65. Trinomial Equations
  • 66. Rational Equations
  • 67. Irrational Equations
  • 68. Absolute Value Equations
  • 69.
  • 70. Logarithmic Equations
  • 71. Homogeneous Trigonometric Equations
  • 72.
  • 73. Equations with Parameters
  • 74. Linear Equations with Parameters
  • 75. Quadratic Equations with Parameters
  • Part 8: Inequalities
  • 76. Linear Inequalities
  • 77. Quadratic Inequalities
  • 78. Sign Analysis in Inequalities
  • 79. Rational Inequalities
  • 80. Irrational Inequalities
  • 81.
  • 82. Logarithmic Inequalities
  • 83. Trigonometric Inequalities
  • 84. Systems of Inequalities
  • Part 9: Lines planes and conic sections
  • 85. Lines
  • 86.
  • 87. Polar Coordinates
  • 88. Parabola
  • 89.
  • 90. Ellipse
  • 91. Hyperbola
  • Part 10: Vectors and matrices
  • 92. Vectors and Matrices
  • 93. Vectors and Matrices
  • 94. Vectors and Matrices
  • 95.
  • 96. Vectors and Matrices
  • 97. Vectors and Matrices
  • 98. Vectors and Matrices
  • 99. Vectors and Matrices
  • Part 11: Linear systems
  • 100. Systems of Linear Equations
  • 101. Cramer’s Rule
  • 102. Gaussian Elimination
  • Part 12: Sequences
  • 103. Principle of Mathematical Induction
  • 104. Sequences
  • 105. Convergent and Divergent Sequences
  • 106.
  • 107. Arithmetic Sequence
  • 108. Geometric Sequence
  • 109. Cauchy Sequence
  • 110.
  • 111. Sequences of Functions
  • Part 13: Series
  • 112. Series
  • 113. Cauchy’s Convergence Criterion for Series
  • 114.
  • 115.
  • 116.
  • 117. Integral Test for Series Convergence
  • 118. Root Test for Series Convergence
  • 119. Leibniz’s Criterion
  • 120. Function Series
  • 121. Power Series
  • 122. Taylor Series
  • 123. Fourier Series
  • Part 14: Functions
  • 124. Functions
  • 125. Determining the Domain of a Function
  • 126. Even and Odd Functions
  • 127.
  • 128. Convexity and Concavity of Functions
  • 129. Composite Functions
  • 130.
  • 131. Continuous Functions
  • 132. Uniform Continuity
  • 133. Discontinuities of Real Functions
  • 134. Analyzing the Graphs of Functions
  • 135.
  • 136. Rational Functions
  • 137. Logarithmic Function
  • 138.
  • 139.
  • 140.
  • 141. Sine Function
  • 142. Cosine Function
  • 143. Tangent Function
  • 144. Cotangent Function
  • 145. Secant Function
  • 146. Cosecant Function
  • 147.
  • 148. Sigmoid Function
  • Part 15: Limits
  • 149. Limits
  • 150. Algebra of Limits
  • 151. Squeeze Theorem
  • 152. Remarkable Limits
  • 153. Asymptotes
  • 154.
  • 155. Little-o Notation
  • 156. Big O Notation
  • Part 16: Derivatives
  • 157. Difference Quotient
  • 158. Derivatives
  • 159. Derivative of a Composite Function
  • 160. Non-Differentiable Points
  • 161. Differential of a Function
  • 162. Derivative of Composite Power Functions
  • 163. Maximum, Minimum, and Inflection Points
  • 164. Partial Derivatives
  • Part 17: Differential calculus theorems
  • 165.
  • 166. Fermat’s Theorem
  • 167.
  • 168. Lagrange’s Theorem
  • 169. Cauchy’s Theorem
  • 170. L’Hôpital’s Rule
  • Part 18: Integrals
  • 171. Indefinite Integrals
  • 172. Definite Integrals
  • 173. Fundamental Theorem of Calculus
  • 174. Integration by Substitution
  • 175.
  • 176. Finding Areas by Integration
  • 177. Integral of the Exponential Function
  • 178. Integral of Trigonometric Functions
  • 179.
  • 180. Trigonometric Substitution for Integrals
  • 181. Improper Integrals
  • 182. Riemann Integrability Criteria
  • Part 19: Differential equations
  • 183. Differential Equations
  • Part 20: Probability and statistics
  • 184. Probability and Statistics
  • 185. Probability and Statistics
  • 186. Probability and Statistics
  • 187. Probability and Statistics
  • 188. Root Mean Square
  • 189. Median and Quantiles
  • 190. Variance
  • 191. Discrete Random Variables
  • 192. Continuous Random Variables
  • 193. Mean or Expected Value of a Random Variable
  • 194. Variance and Covariance of a Random Variable
  • 195.
  • 196. Binomial Distribution
  • 197. Hypergeometric Distribution
  • 198. Geometric Distribution
  • 199. Poisson Distribution
  • 200. Uniform Distribution
  • 201. Beta Distribution
  • 202. Normal Distribution
  • 203. Standard Normal Z Table
  • 204. Gamma Distribution
  • 205. Chi-square Distribution
  • 206. Student’s t Distribution
  • 207. Exponential Distribution
  • 208. Sampling Distributions
  • 209. Bayes’ Theorem
  • 210. Confidence Intervals
  • Part 21: Kinematics
  • 211.
  • 212.
  • 213. Simple Harmonic Motion
  • Part 22: Other topics
  • 214. Cosine Similarity
  • 215. Propositional Logic
  • 216. The Backpropagation Algorithm
  • References
  • Draft outline
  • Fork at GitHub

Chapter

  • Book
  • Contents
  • Part 11:

Linear systems

Linear Systems

  • Chapter 100. Systems of Linear Equations
    Linear systems model problems where multiple conditions must be satisfied at the same time. They form the basis of many solution methods in algebra and applied mathematics.
  • Chapter 101. Cramer’s Rule
    Cramer’s Rule provides a method for solving systems of n linear equations in n unknowns, by using the determinant of the system’s coefficient matrix.
  • Chapter 102. Gaussian Elimination
    The Gauss method, or Gaussian elimination, is a technique used to solve systems of n linear equations in n unknowns.
Next: Linear systems › Chapter 100.
Systems of Linear Equations
Previous: Vectors and matrices › Chapter 99.
Vectors and Matrices
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