Questions tagged [linear-programming]

For questions regarding Linear Programming, an optimization technique for a system of linear constraints and a linear objective function

Linear programming is an optimization technique for a system of linear constraints and a linear objective function. An objective function defines the quantity to be optimized, and the goal of linear programming is to find the values of the variables that maximize or minimize the objective function. It helps you solve some very complex optimization problems by making a few simplifying assumptions

8 questions
1
vote
0 answers

Optimization problem with different type of constraints

I'm new to optimization problems. I want to find optimum values for my objective function. You can imagine my function as E = f(t1, t2, t3). I want to minimize E and following constraints limit the variables: 1- 0 < t1, t2, t3 < 255 2- t1, t2, and…
1
vote
1 answer

What are the constants in this formula for polytrophic head?

Polytrophic head can be expressed as H = b1N^2 + b2NQ + b3Q^2 where b1, b2 and b3 are constants, N is the speed of the compressor (rmp), and Q is the volumetric flow rate of natural gas at the compressor inlet (m3/s). I am trying to understand where…
Starbucks
  • 175
  • 6
1
vote
1 answer

Finding contribution/weight of features in output from a series of data

I have a dataset which consists of the following features : a1,a2,.....aN.... sum of all the features together gives a constant output say 100. For eample the dataset may look like this. a1 a2 a3 a4 a5 a6 a7 O/p 500 100 …
1
vote
0 answers

Find the right balance between price of a property and agent fee

I would like to know when buying a property when is better for an estate agent to get a higher fee from me compared to the seller if we get a deal with a lower amount. As an example, let's say that: the property asking price is €350k the agent fee…
TPPZ
  • 111
  • 1
0
votes
1 answer

What applications does linear programming have in data science?

I'm currently learning about linear programming in my degree. I'm wondering how this is relevant to anything in data science?
Data
  • 467
  • 3
  • 11
0
votes
0 answers

How to estimate this variable in an MILP formulation

This is my first question being asked here. I've thought about different methods to do it, but to no avail. I want to estimate a variable that is either 0 or a positive number. Then I want to use this estimation in a mixed integer linear programming…
0
votes
0 answers

In ensembles combining models, does it make sense for a model to have negative weight?

I have 13 models ranging from simple models like Seasonal Naïve Average to complex models like Random Forests, The weights of the models is calculated based on the LPMinimize of the error during the validation period, The constraints include…
0
votes
0 answers

Clustering to determine variables for a linear program

I have a database containing the execution logs of some manufacturing process. A particular machine can perform various operations on products during a shift. My job is to calculate the nominal operation times on this particular machine. For…
akarnokd
  • 101
  • 1