MATH 105 Lecture 1: lecture1

MATH 105 Lecture Notes - Lecture 1: 32X

Given a function, f(x), an anti-derivative of f(x) is any function f(x) such that. If f(x) is any anti-derivative of f(x) then the most general anti-de

MATH 105 Lecture 2: lecture2

MATH 105 Lecture Notes - Lecture 2: Antiderivative

MATH 105 Lecture 3: MATH 105 Lecture 3 Vectors

Which gives them a direction" and magnitude. Operations are allowed between points and vectors: Adding a point to a vector gives a point. To add or sub

MATH 105 Lecture 3: lecture3

MATH 105 Lecture 4:

MATH 105 Lecture 4: MATH 105 Lecture 4 Vectors Con’t

MATH 105 Lecture 5: MATH 105 Lecture 5 Partial Derivatives and Maximum_minimum Problems (1)

MATH 105 Lecture 5:

MATH 105 Lecture 6: MATH 105 Lecture 6 Partial Derivatives and Maximum_minimum Problems Con’t

MATH 105 Lecture 6: lecture6

MATH 105 Lecture 7: lecture7

MATH 105 Lecture Notes - Lecture 7: Maxima And Minima

Math 105 lecture 7 partial derivatives and maximum/minimum problems con"t. Definitions of local extrema and theorem 12. 13 (12. 8, p 939) A function ha

MATH 105 Lecture 8:

MATH 105 Lecture 9:

MATH 105 Lecture 10:

MATH 105 Lecture 11: Lagrange multipliers

MATH 105 Lecture 12:

MATH 105 Lecture 13: Integration

MATH 105 Lecture 14:

MATH 105 Lecture 15:

MATH 105 Lecture 16:

MATH 105 Lecture 17: Integration by parts

MATH 105 Lecture 18:

MATH 105 Lecture 19: lecture19

MATH 105 Lecture 20:

MATH 105 Lecture 24: lecture24

MATH 105 Lecture 25: lecture25

MATH 105 Lecture 26: lecture26

MATH 105 Lecture 27: numerical integration

MATH 105 Lecture 28: lecture 28

MATH 105 Lecture 29: lecture29

MATH 105 Lecture 30: lecture30

MATH 105 Lecture 31: lecture31

MATH 105 Lecture 32: lecture32

MATH 105 Lecture 33: lecture33

MATH 105 Lecture 34: lecture34

MATH 105 Lecture 36: lecture35

MATH 105 Lecture Notes - Lecture 37: Hne

MATH 105 Lecture 38: lecture38

MATH 105 Lecture 39: lecture39

MATH 105 Lecture 40: lecture40

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Antiderivatives, the definite integral, techniques of integration, infinite series, partial derivatives, maxima and minima with constraints, discrete and continuous random variables. Please consult the Faculty of Science Credit Exclusion List: www.students.ubc.ca/calendar/index.cfm?tree=12,215,410,414.

Integral Calculus with Applications to Commerce and Social Sciences

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