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Math 12th Class Guess for Annual Examination

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Math 12th Class Guess for Annual Examination
12th Math

Chapter No : 1

Train No 1.1

Query No 3
Query No 4
Query No 7
Query No 8

Train No 1.2

Query No 1
Query No 2
Theorem No : 1
Theorem No : 4

Train No 1.3

Query No 2 half (iv, vii, viii) Query No Three half(ii,iii,iv,v,vi,x,xi,xii)
Query No Four half ( ix, x, xi)

Train No 1.4

Query No 2
Query No 3
Query No 5
Query No 6

Chapter No : 2

Instance No 1 (Web page # 45)

Train No 2.1

Query No 2

Train No 2.3

Query No 3
Query No 4
Query No 5
Query No 6
Query No 7
Query No 16
Query No 17

Train No 2.4

Query No 2 half ( i, ii, iii )
Query No 4
Query No 5 half ( i, ii )

Train No 2.5

Query No  3
Query No  4
Query No  5
Query No  6
Query No  7
Query No  8
Query No  9
Query No  10
Query No  11
Query No  12

Train No 2.6

Query No 1 half (vii, viii)
Query No 2 half( v, vi, xii, xiii )
Query No 3

Train No 2.7

Query No 4
Query No 5
Query No 8
Query No 9

Definition.

  1. Maclaurin’s Collection
  2. Taylor’s collection

Train No 2.8

Query No 2
Query No 3

Train No 2.9

Query No 4
Query No 5

Train No 2.10

Query No 1
Query No 2
Query No 3
Query No 4
Query No 5

Chapter No : 3

Train No 3.1

Query No  3
Query No 4
Query No 5

Train No 3.2

Query No  2

Train No 3.3

Query No 8
Query No 11
Query No 12
Query No 15
Query No 16
Query No 20
Instance No (7,8,9) web page no 134

Train No 3.4

Query No 1 half(ii,vii,xiv,xix,xx,xxi )
Query No 2 half ( i, ii, viii )
Query No 4
Instance No 5

Train No 3.5

Query No 2
Instance No 3
Instance No 4

Train No 3.6

Query No  2
Instance No 3
Instance No 5
Instance No 14
Instance No 16
Instance No 21
Instance No 22
Instance No 26
Instance No 27
Instance No 29
Instance No 30
Instance No (3,4) web page No 159

Train No 3.7

Query No 2
Query No 3
Query No 5
Query No 9
Query No 11
Query No 12

Train No 3.8

Query No 3
Query No 4
Query No 11
Query No 12
Query No 13
Query No 14
Query No 16

Chapter No : 4

Train No 4.1

Query No 13
Query No 14
Query No 16
Query No 17

Train No 4.3

Query No 3
Query No 4
Query No 10
Query No 13
Query No 15
Query No 21
Query No 23
Query No 24
Query No 25
Query No 26
Query No 27
Query No 28
Query No 29
Query No 30

Train No 4.4

Query No 2
Query No 4
Query No 5
Query No 6

Train No 4.5

Query No 1
Query No 2
Query No 3
Query No 6

Chapter No : 5

Train No 5.3

Query No 1
Query No 2
Query No 3
Query No 4
Query No 5
Query No 6

Definition.

  1. Possible answer
  2. Optimum answer
  3. Goal perform
  4. Linear programming
  5. Convex

Chapter No 6

Train No 6.1

Query No 1 half (c)
Query No 3
Query No 4
Query No 6
Query No 7
Query No 8

Train No 6.2

Query No 4
Query No 5
Query No 6
Query No 7
Query No 8

Train No 6.4

Query No 1
Query No 2

Train No 6.5

Query No 1
Query No 2
Query No 5

Train No 6.6

Query No 1
Query No 2

Chapter No : 7

Train No 7.1

Query No 3
Query No 5
Query No 12
Query No 14
Query No 15
Instance No 6 (web page no 334)
Train No 7.2
Query No 3

Train No 7.2

Query No 7
Query No 10
Query No 11

Train No 7.3

Query No 2
Query No 3
Query No 9
Query No 10
Query No 11
Query No 12

Train No 7.4

Query No 3
Query No 7
Query No 8

Train No 7.5

Query No 1
Query No 3
Query No 5
Query No 8
Query No 15

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