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1.
Matrix Algebra
on 17.03.19
1.
with variables
`[[2x,3y],[3x,4z]]`
2.
with complex numbers
`[[-5i,3i],[4i,5i]]`
3.
with surds
`[[1/sqrt(2),sqrt(2)],[4,-5]]`
2. PERT and CPM
1.
Network diagram
on 10.03.19
2.
Critical path, Total float, Free float, Independent float
on 10.03.19
3.
Project scheduling with uncertain activity times (Optimistic, Most likely, Pessimistic)
on 10.03.19
4.
Project crashing to solve Time-Cost Trade-Off with fixed Indirect cost
on 10.03.19
5.
Project crashing to solve Time-Cost Trade-Off with varying Indirect cost
on 10.03.19
2. Transportation Problem
3.
Heuristic method-1
on 07.01.19
4.
Heuristic method-2
on 07.01.19
5.
Row minima method
on 24.12.18
6.
Column minima method
on 24.12.18
7.
Russell's approximation method
on 24.12.18
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Fitting a cubic equation - Curve fitting calculator
Method and examples
Fitting a cubic quation - Curve fitting
(Method of Least Squares)
Type your data, for seperator you can use space or tab
for sample click random button
OR
Rows :
Click On Generate
Find Fitting of a
Straight line (y=a+bx)
Second degree parabola (y=a+bx+cx^2)
Cubic quation (y=a+bx+cx^2+dx^3)
Calculate Fitting a straight line - Curve fitting using Least square method
X
5
4
3
2
1
Y
1
2
3
4
5
Calculate Fitting a straight line - Curve fitting using Least square method
X
3
5
7
9
11
Y
2.3
2.6
2.8
3.2
3.5
Calculate Fitting a straight line - Curve fitting using Least square method
X
1996
1997
1998
1999
2000
Y
40
50
62
58
60
Calculate Fitting a straight line - Curve fitting using Least square method
X
1992
1993
1994
1995
1996
1997
1998
1999
Y
38
40
65
72
69
60
87
95
Calculate Fitting a second degree parabola - Curve fitting using Least square method
X
12
10
8
6
4
2
Y
6
5
4
3
2
1
Calculate Fitting a cubic quation - Curve fitting using Least square method
X
12
10
8
6
4
2
Y
6
5
4
3
2
1
Calculate Fitting a second degree parabola - Curve fitting using Least square method
X
1991
1992
1993
1994
1995
1996
1997
1998
1999
Y
2
6
7
8
10
11
11
10
9
Calculate Fitting a second degree parabola - Curve fitting using Least square method
X
1995
1996
1997
1998
1999
2000
Y
10
12
18
15
13
16
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