Advanced Mathematics

Intermediate 4.2

12 months 30 days

$266.00 $212.00

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4.2
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From the most basic knowledge of functions and limits, we go step by step into the field of differential science, including the concepts of derivatives and differentiation, algorithm rules, and applications of derivatives.

course introduces

  • learners 'guidance
    29:36

set and operation

  • set
    10:31
  • operation of set
    26:10
  • Interval and neighborhood
    12:54

Mapping and Function

  • mapping
    19:50
  • the concept of functions
    23:53
  • Characteristics of functions
    15:44
  • elementary function
    13:13
  • Applications in machine learning
    16:24
  • Examples in class
    18:51

sequence limit

  • Sequence and sequence limits
    19:34
  • Properties of convergent sequence
    25:42
  • Practice in class
    15:16

function limit

  • Function limit concept
    25:37
  • Function limit examples and one-sided limits
    21:41
  • Properties of function limits
    23:01
  • chapter summarizes
    21:43
  • Practice in class
    28:50

Infinitesimal and infinite

  • infinitesimal
    19:56
  • Infinity
    20:27
  • chapter summarizes
    18:52
  • Practice in class
    13:10

limit operation

  • limit algorithm
    17:11
  • Limit algorithm (example)
    17:43
  • limit existence criterion
    16:29
  • Comparison of infinitesimal
    19:55
  • chapter summarizes
    22:55
  • Practice in class
    22:41

Continuity and discontinuity points of functions

  • continuity of a function
    29:20
  • discontinuity of the first kind of function
    17:51
  • discontinuity of the second kind of function
    18:36
  • chapter summarizes
    21:53
  • Examples in class
    24:17

Derivative and differential

  • The concept of derivative
    24:14
  • The concept of derivative (derivative of power function-one-sided derivative-tangent and normal equations)
    25:32
  • Derivability and continuity of functions
    26:46
  • derivative summary
    27:17
  • Derivative rule of function
    15:56
  • Derivative rule of compound functions
    27:50
  • Formula for deriving constants and basic elementary functions
    25:59
  • higher order derivatives
    29:31
  • Algorithm for higher-order derivatives
    18:11
  • derivative of implicit function
    28:37
  • Derivation of power exponential functions
    25:54
  • Function determined by parametric equations
    22:15
  • differential of a function
    20:51
  • differential algorithm
    10:35

Differential median value theorem and application of derivatives

  • Differential Mean Value Theorem-Rolle Theorem
    13:47
  • Differential Mean Value Theorem--Lagrange Mean Value Theorem
    25:36
  • Differential Mean Value Theorem--Cauchy Mean Value Theorem
    28:00
  • Lopida's rule type 00 indeterminate
    16:25
  • L'Bedard's Rule-Other Undefinite Formulas
    22:48
  • Taylor's formula-Taylor's median value theorem
    11:22
  • Taylor's formula--McLaughin's formula
    16:49
  • Monotonicity of a function
    13:47
  • concave-convex nature of a curve
    28:18
  • The concept of extreme value of a function
    14:33
  • Method for finding extreme value of function
    11:35
  • Maximum value of the function minimum value
    17:56
  • Description of function graphs
    26:49

course summary

  • course summary
    20:39
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