I found a bug in 18A_Optimization_using_SciPy.ipynb and fixed it on 11/18/2020. The old file stops running after [In 11] due to an error "NameError: name 'x0' is not defined". Please download the updated file.
Hi Guys, please comment and let me know what you think about this Engineering Python open course. If you enjoy the video, please subscribe and share with your friends. Thanks!
A part-time graduate student in engineering is enrolled in a four-unit mathematics course and a three-unit design course. Since the student has to work for 20 hours a week at a local software company, he can spend a maximum of 40 hours a week to study outside the class. It is known from students who took the courses previously that the numerical grade (g) in each course is related to the study time spent outside the class as gm = tm/6 and gd = td/5, where g indicates the numerical grade (g = 4 for A, 3 for B, 2 for C, 1 for D, and 0 for F), t represents the time spent in hours per week to study outside the class, and the subscripts m and d denote the courses, mathematics and design, respectively. The student enjoys design more than mathematics and hence would like to spend at least 75 minutes to study for design for every 60 minutes he spends to study mathematics. Also, as far as possible, the student does not want to spend more time on any course beyond the time required to earn a grade of A. The student wishes to maximize his grade point P, given by P = 4gm + 3gd, by suitably distributing his study time. Formulate the problem as an LP problem. could you please, solve this problem using python programming and send me the file in "ipynb" format on this email "arbaminchuermias@gmail.com".....thankyou very much.....i need help please
This is awesome! May I know how to use constraints for fsolve function? For example how do we mention that we need the roots to be not negative for the example at 5:24 ? Thanks!!
Please I am relatively new to data science....but why do most videos use generated datasets rather than actual data from Kaggle or any other site? Does this really help when a real problem is encountered in the real world ?
I found a bug in 18A_Optimization_using_SciPy.ipynb and fixed it on 11/18/2020. The old file stops running after [In 11] due to an error "NameError: name 'x0' is not defined". Please download the updated file.
Can I get your LinkedIn or anything, just want to talk about a problem in my question!!
The best optimisation ever. Straight to point. No nonsense. No bullshit. Thank you very much.
Thanks, Inusa.
Best lectures ever. Simple and directly to the point.
Thanks for the comment, Mauladous
Refreshingly concise tutorial
Hi Guys, please comment and let me know what you think about this Engineering Python open course. If you enjoy the video, please subscribe and share with your friends. Thanks!
A part-time graduate student in engineering is enrolled in a four-unit mathematics course
and a three-unit design course. Since the student has to work for 20 hours a week at a
local software company, he can spend a maximum of 40 hours a week to study outside
the class. It is known from students who took the courses previously that the numerical
grade (g) in each course is related to the study time spent outside the class as gm = tm/6
and gd = td/5, where g indicates the numerical grade (g = 4 for A, 3 for B, 2 for C, 1 for
D, and 0 for F), t represents the time spent in hours per week to study outside the class,
and the subscripts m and d denote the courses, mathematics and design, respectively.
The student enjoys design more than mathematics and hence would like to spend at least
75 minutes to study for design for every 60 minutes he spends to study mathematics.
Also, as far as possible, the student does not want to spend more time on any course
beyond the time required to earn a grade of A. The student wishes to maximize his grade
point P, given by P = 4gm + 3gd, by suitably distributing his study time. Formulate
the problem as an LP problem.
could you please, solve this problem using python programming and send me the file in "ipynb" format on this email "arbaminchuermias@gmail.com".....thankyou very much.....i need help please
Very helpful and useful! Thank you sir!
saved to my playlist, thank you so much, sir :)
NICE, DR Wang this is my new Yt channel
keep in, on TH-cam the best stuff gets very little attention. keep it up.
Thanks for the video, could you explain about the [xopt, fopt, ....]=\ command? Thanks.
If i wanna use 2 or (n) parameters, how can i do it? Could you explain this solver to f(X,Y,Z,W,...)
This is awesome! May I know how to use constraints for fsolve function?
For example how do we mention that we need the roots to be not negative for the example at 5:24 ?
Thanks!!
Yong, how would we add constraints?
Very good course ! Thankyou
thanks, hassane
Please I am relatively new to data science....but why do most videos use generated datasets rather than actual data from Kaggle or any other site?
Does this really help when a real problem is encountered in the real world ?