I made a mistek in this Video ,as I said "take lemdba less then zero for Minimization" but this is an error . The correct one is take always lembda greater than or equal to Zero. Watch my this video for Minimization th-cam.com/video/DhfxVbMBPD0/w-d-xo.html
Both are correct some books take it plus also.But in most standard books minus is there . Both are correct because this not effecting solution you the reason
@@MalikTutorial okay thanks i got confused..also anothet doubt..in lagrange multipliers how to form bordered hessian matrix with L..you have shown 2 different methods?
Description In a Max problem, a slack variable is a variable that is added to an inequality constraint to transform it into an equality. Introducing a slack variable replaces an inequality constraint with an equality constraint and a non-negativity constraint on the slack variable.
I made a mistek in this Video ,as I said "take lemdba less then zero for Minimization" but this is an error .
The correct one is take always lembda greater than or equal to Zero.
Watch my this video for Minimization
th-cam.com/video/DhfxVbMBPD0/w-d-xo.html
thank you
thankyou sir , it was very helpful.
In third case value of x1=7
It's mistakenly written
Fir toh lamda 1 ki value greater than zero aa rahi hai toh X1 aur X2 acceptable Hoga?
@@ZAYNMalik-rf7nm lembda too hona chahiye greater than zero or equal to zero
@@MalikTutorial toh kya X1 ,X2 acceptable Hoga ?
@@ZAYNMalik-rf7nm yes dear
@@MalikTutorial thank u very much sir
Can u plz solve it for i=1
I had Solved for i = 1
th-cam.com/video/pqLxFx8DfaY/w-d-xo.html
Can u solve one prob i have?...plzz
@@shreshthagoyal3507 yes sure
Where shall i send u the picture?
@@shreshthagoyal3507 yes absolutely
Where is video #1?
Check playlist Dear
In 1st condition, in books sign before summation is given '+' .which is correct ?
Both are correct some books take it plus also.But in most standard books minus is there .
Both are correct because this not effecting solution you the reason
@@MalikTutorial okay thanks i got confused..also anothet doubt..in lagrange multipliers how to form bordered hessian matrix with L..you have shown 2 different methods?
You can choose any one of the method you found easy .
what is meant by slag variable? why we use it? where has it gone when solution is proceeded?
Description
In a Max problem, a slack variable is a variable that is added to an inequality constraint to transform it into an equality. Introducing a slack variable replaces an inequality constraint with an equality constraint and a non-negativity constraint on the slack variable.
@@MalikTutorial here you told that for minimization, lambda is less than equal to zero
@@vikrantchandel I saw this on solved paper ,but when I consulted book it was different
@@MalikTutorial then please tell me what is correct one.
@@vikrantchandel Take lembda alway greater then or equal to zero .
You can consult operation research by PK Gupta for this
bhai itne fast bataya ki samjh me adha hi aaya..thoda speed normal rakho
Yes zaroor slow kron ga ..
Agar zeyada fast lag RHA appko please watch on 0.75x
Lagta hai kahin jane ki jaldi hai,,,thoda aaram se batate😑
Yes sure I will try best to do this
Watch at 0.75x speed