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Questions tagged [linearization]

For questions related to techniques for converting nonlinear expressions in optimization models into equivalent (or approximately equivalent) linear ones.

0 votes
1 answer
71 views

How to write conditional constraints and sum the result in Linear Programming in Python?

I want to use the sum of a series of linear expressions as objective and constraints. These linear expressions are chosen to be included or not based on some conditions. I can achieve it in Excel ...
Shwing's user avatar
  • 13
0 votes
1 answer
73 views

PULP: Optimization Assignment of Bicycle production per month

Q1. If bicycles of types A and H are produced, then bicycles of type C can be produced with 20% shorter working hours, while selling profit of bicycles type H can be 20% higher. Q2: If bicycles of ...
Ankit Basu's user avatar
3 votes
1 answer
198 views

How to linearize the following logical constraints?

I am having trouble linearizing the following logical constraints. $x,y,z$ are non negative continuous variables such that $x=y+z$, and $A$ is a positive parameter. I would like to linearize $$ y= \...
NormalFit's user avatar
2 votes
2 answers
177 views

Are McCormick Envelopes exact for the following class of optimization problems?

I have the following optimization problem: \begin{align*} \text{minimize} \quad &\mathbf{c^T x} \\ \text{such that} \quad &\mathbf{x} \in S. \end{align*} Here, $S$ is a polyhedron of the form $...
graphtheory123's user avatar
2 votes
1 answer
75 views

Minimizing sum(abs(Ax-c)) for binary decision variables - terminology and methods?

My problem requires choosing a fixed number of vectors from a large set of vectors such that the sum of these vectors is close to some known target vector. That is, given known parameters: $$ l, m, n \...
G_B's user avatar
  • 1,857
2 votes
1 answer
221 views

Set a limit on value change of a binary variable

I am working on an Energy Management problem. The objective is to minimize the electricity bill for the customer. I have a time-series data with 15 min. intervals spanning the course of 1 year. The ...
Kushagr Goyal's user avatar
2 votes
1 answer
136 views

Priority based demand fulfilment in Linear Constraint

Say I have 3 sources. D1, D2, D3. their capacity is 100, 200, 400. I want to create some constraints such that First D1 is depleted then D2 and then D3. But the catch is you cant use min or max ...
kunal chakraborty's user avatar
2 votes
1 answer
125 views

How to model the constraints of min and max in cvxpy

I have a continuous variable $x_{ij}\in[0,1]$ and I need to write the following constraint: $$M_i-m_i+1\leq C_i$$ where $M_i=\max\{j: x_{ij}>0\}$ and $m_i=\min\{j: x_{ij}>0\}$
zdm's user avatar
  • 403
4 votes
2 answers
309 views

Linear condition between two continuous variables

There are two real variables $x$ and $y$. The conditions are such that: if $y\le 0$, then $x=0$ if $y>0$, then $x=y$ How to write linear equations or inequalities to satisfy both the conditions?
Lorentz's user avatar
  • 41
0 votes
1 answer
105 views

How to model this constraint in a better way?

I have a resource allocation problem. There are $M$ users and $N$ resources (machines). One user can be assigned to multiple resources/machines. But maximum $B$ machines can be activated at a time for ...
KGM's user avatar
  • 2,377
3 votes
1 answer
194 views

Reformulate constraints

I have the following constraints and am wondering whether I can formulate the whole thing more narrowly and with fewer constraints. $x_{itk}$ is binary and $u_{it}, v_{itk}\in [0,1]$. $M$ is a Big-M ...
manofthousandnames's user avatar
2 votes
1 answer
84 views

Is the linearization with first-order Taylor approximation correct?

I have a QP problem as $\min \hspace{2mm} x^TQx-c^Tx$ here $x$ in binary I want to transform it into a MILP by writing the objective function as $\min \hspace{2mm} z-c^Tx$ and then adding a constraint ...
KGM's user avatar
  • 2,377
1 vote
1 answer
45 views

Converting a function composing of multipe pieces into a linear equation

I have a variable (alpha) which depends on some other binary variables, denoted as X_i. So, for some combination of other variables, alpha may take a value (Beta_j). I added some auxillary variables (...
Sam's user avatar
  • 97
0 votes
1 answer
36 views

Add second "constraint" to model a binary variable

in my model I have the binary variable $f_{ij}$ which pushes a time-dependent $j$ integer variable $D_{ij}$ to zero if $f_{ij}$ takes the value 1 and keeps the integer number if $f_{ij}$ equals 0. Yes,...
marvelfab12's user avatar
1 vote
1 answer
88 views

How to model $\max\limits_{x\in X} \min\limits_{y\in Y} \max\limits_{z\in Z} f(z)$ as single MILP

I have the following optimization problem: \begin{align*} \max\limits_{x\in X} &\min\limits_{y\in Y} \max\limits_{z\in Z} & f(z) \\ &\text{such that} & (x, y, z)\in P \end{align*} ...
graphtheory123's user avatar

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