Questions on linear programming, the optimization of a linear function subject to linear constraints.

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11
votes
0answers
235 views

Determining information in minimum trials (combinatorics problem)

A student has to pass a exam, with $k2^{k-1}$ questions to be answered by yes or no, on a subject he knows nothing about. The student is allowed to pass mock exams who have the same questions as the ...
6
votes
0answers
855 views

Farkas Lemma proof

I am trying to prove the Farkas Lemma using the Fourier-Motzkin elimination algorithm. From Wikipedia: Let A be an $m \times n$ matrix and $b$ an $m$-dimensional vector. Then, exactly one of the ...
6
votes
0answers
91 views

Does the Hirsch conjecture hold for $n < 2d$?

The Hirsch conjecture states that the graph (i.e. $1$-skeleton) of a $d$-dimensional polytope with $n$ facets has diameter at most $n - d$. It was known for a long time that it sufficed to prove it ...
5
votes
0answers
580 views

Maximum and minimum of an integral under integral constraints.

Find the maximum and minimum of the following integral in terms of $f(x),a,C$: \begin{align}I=\int_{0}^{a} \frac{x}{f(x)}p(x)dx \end{align} s.t.: 1) $\int_{0}^{a} p(x)dx=1$ 2) $\int_{0}^{a} ...
4
votes
0answers
24 views

Parameterizing equilateral polygons

I'm not exactly sure how to describe what I want, so if I butcher terms, please forgive me :) I want to "parameterize" the space of simple irregular equilateral polygons with n sides, or at least a ...
4
votes
0answers
61 views

Mappings preserving convex polyhedra

It is known that linear mappings between euclidean spaces map convex polyhedra to convex polyhedra. Can you give a characterization of the class of mappings that preserve convex polyhedra?
4
votes
0answers
481 views

How to Minimize A Function Where The Number of Variables is Unknown

I have a standard linear programming problems I want to solve: $$ \min_x f^T x \text{ such that } \left\{ \begin{aligned} A\cdot x &\le b, \\ A_{eq}\cdot x &= b_{eq}, \\ lb \le x &\le ub. ...
3
votes
0answers
69 views

A basic question related with the solutions of linear programming problems

I have to select one option from the problem statement given below. Which of the following statements is true in case of linear programming. $1$: An optimal solution exists at extreme points of a ...
3
votes
0answers
200 views

The size of the maximum matching is bounded by the size of the minimum vertex cover

Prove, using the weak duality theorem of linear programming, that: For any graph $G$ (not necessarily bipartite), the size of the maximum matching is at most the size of the minimum vertex ...
3
votes
0answers
59 views

On the bounds of the objective function in a standard LP

Consider a standard linear programming (LP) such as: \begin{align} \sum_{i=1}^{N}\frac{a_{i}}{b_{i}}x_{i}\end{align} \begin{align}\text{s.t. }\left ( \sum_{i=1}^{N}x_{i}=1 \; , \; ...
3
votes
0answers
117 views

weak duality theorem

Studying duality theory I have not found clear this point considering the primal a minimize problem, if x and p are feasible solution to the primal and to the dual then $p^tb \leq c^tx$ for ...
3
votes
0answers
58 views

finding the largest $p$ components of $x$

Given an $n \times n$ matrix $A$, and an $n \times 1$ vector $b$, the conventional way of computing an $n \times 1$ vector $x$ such that $x=Ax+b$ is to use the following iterations: ...
3
votes
0answers
65 views

relation between solution of a linear program and its perturbation

I have a linear program over a finite set of points $(x_1, x_2,\ldots, x_m)\in\mathbb{R}^n$: $$ \max_j c' x_j $$ Suppose the solution of this LP is obtained at a point $x_{j_1}$, which is a vertex ...
3
votes
0answers
256 views

Bender's Decomposition for Mixed Integer Programs

Say I have 2 LPs, LP_1 and LP_2 which have real and integer variables and a staircase structure (i.e. the solution and feasible region of LP_2 depends on the solution of LP_1). $LP_1$ has the form ...
2
votes
0answers
23 views

Finding number of basic solution based on different cases

I need help understanding the question. Consider the polyhedron P = {x in R^n | Ax = b x => 0}, where A in R^mxn and b in R^m. Assume that any m columns of A are linearly independent. (a) Suppose ...
2
votes
0answers
32 views

Nearest non-negative solution for $Av=b$

Let $A$ be a $n\times m$ matrix. Let us define the system $$Av=b$$ $$v\geq 0$$ I want to find a solution $v$ of this system that is the closest (euclidean norm) to $v_0$, a given $n$-dimensional ...
2
votes
0answers
53 views

Lagrange Multipliers for linear functionals

Say I have a Banach-space $X$ and linear (!) functionals $f,g$, and I'm trying to solve the constrained optimization problem $$max~f(x)\quad s.t.~g(x)= 0,~\Vert x\Vert\le 1.$$ Suppose I can show ...
2
votes
0answers
69 views
+100

Is optimal solution to dual not unique if optimal solution to the primal is degenerate?

If optimal solution to the primal is degenerate, does it necessarily follow that optimal solution to dual not unique? That is, is uniqueness an unnecessary assumption? Spin-off from here. In my ...
2
votes
0answers
117 views

Nested optimization problems solving using mixed integer linear programming

Let us have two vectors of decision variables, $\mathbf{x}$ and $\mathbf{y}$, two linear objective functions, $F \left( \mathbf{x}, \mathbf{y} \right)$ and $f \left( \mathbf{x} \right)$, and two sets ...
2
votes
0answers
47 views

Can we ever have E(argmin(f)) = argmin(E(f))?

Consider a parametric real-valued function $f_{\boldsymbol{\alpha}}:\ \mathbb D^N \rightarrow\mathbb R$ whose parameters $\boldsymbol\alpha$ vary according to some distribution $\psi$, and $\mathbb D$ ...
2
votes
0answers
48 views

mathematical model of an assignment/scheduling problem

I am solving a scheduling problem and I am able to abstract it into an assignment problem of assigning 45 machines to 42 jobs. the assignment problem was given as having 14 jobs, each with 3 tasks and ...
2
votes
0answers
36 views

Simple Linear Program Problem in Constrained Optimization

Here is a subproblem I am having difficulties with: $$d = \arg\min_x \ c^Tx$$ subject to $$x: \sum_{i=1}^{n} x_i = 0,\quad x_i \ge -b_i$$ for some $b \in \mathbb R^n$. So I'm looking for an ...
2
votes
0answers
34 views

Effective convexity criterion for the finite point set in $\mathbb{R}^3$

I need to find effective convexity criterion for the finite point set. Below there is description of what is meant by "effective" criterion. Definition. Let $M = \{A_{1}, \ldots, A_{n}\}$ be the ...
2
votes
0answers
43 views

What is a closed chain (or circuit) that is used in solving a transportation problem (a special type of linear programming problem)?

What is a closed chain (or circuit) that is used in solving a transportation problem (a special type of linear programming problem)? I'm having some problems with it. Please clarify it. I have posted ...
2
votes
0answers
71 views

Convert a problem o minimizing a function to linear programming problem in standard form

I have to 1) convert a problem o minimizing a function to linear programming problem in standard form. It is something new to me. Can somebody explain it to me? $$\min(\mathbb{R}^2\ni(x,y)\rightarrow ...
2
votes
0answers
32 views

Finding optimal hyperplane

I have a set of vectors $\{V_i\}$ in $n$-dimensional space. There is a number corresponded to each vector $\alpha_i = f(V_i)$ ($\alpha_i$ can be negative). I want to find a hyperplane which would ...
2
votes
0answers
36 views

Rayleigh Quotient variant?

If $A$ is a covariance matrix and I want to get $\max X^TAX$ where each value of $x$ is between -1 and 1. Is there a closed-form solution for this? I understand when $X^TX = 1$ this becomes the ...
2
votes
0answers
48 views

The importance of the full-row-rank assumption for the simplex method

Consider a linear programming model in the usual form ready for applying the simplex method. I understand that having the constraint equations' coefficient matrix $A$ be of full row rank means not ...
2
votes
0answers
87 views

Post-optimality analysis: Change in one of the constraints

Consider the LP: max $\, -3x_1-x_2$ $\,\,$s.t. $\,\,\,\,$ $2x_1+x_2 \leq 3$ $\quad \quad \ -x_1+x_2 \geq 1$ $\quad \quad \quad \quad \ > x_1,x_2 \geq 0$ Suppose I have solved the above ...
2
votes
0answers
23 views

Determining maximum number of groups - maybe Linear Programming

Given a set D dogs, C cats, and B birds, for each dog d in D, there is a set c(d) which indicates the set of cats that dog d likes and a set b(d) birds that dog d likes. How do I find the maximum ...
2
votes
0answers
55 views

Examples of non trivial problems in this structure.

I'm looking for examples of non trivial problems that match with the follow structure. Let the function $$g: U \times V \rightarrow \mathbb{R}$$, where $U$ and $V$ are complex vetorial spaces of ...
2
votes
0answers
56 views

Assigning jobs to minimize cost - Linear programming

I'm stuck trying to solve this linear programming question. You want to make a website with a list of features F, which are n elements long. Each feature has a corresponding value for how long it'll ...
2
votes
0answers
112 views

Up and Downtime Constraints - An Optimization Problem

I am working on a project and have run into a roadblock, any help will be greatly appreciated: We are trying to minimize cost of running a series of generators. Each generator has a unique cost of ...
2
votes
0answers
164 views

Is simplex method weaker than other methods?

Given linear program: $$ \text{min } x_1 - x_2 + 2 x_3 $$ s.t.: $$ -3x_1 + x_2 + x_3 = 4 $$ $$ x_1 - x_2 + x_3 = 3 $$ $$ x_i \geq 0; i = \{1,2,3\} $$ solution by simplex method (with double pass) is ...
2
votes
0answers
82 views

Higher dimensional Euclidean geometry problem

In my engineering/physics research, I am facing one math problem which I believe should be well established in mathematics... I have a linearly spanned space given by the column vectors of the ...
2
votes
0answers
37 views

Showing a Hermitian preserving map is not necessarily positivity preserving?

Say I have a linear map, which is not positivity preserving $$\phi: \mathscr H \to \mathscr H$$where $\mathscr H$ is the set of $n \times n$ Hermitian matrices. Then does there exist a positive ...
2
votes
0answers
52 views

convexity in oriented matroid theory

I would like to try to solve the following problems. If someone knows how to prove at least part (a), could you show me the proof? I am having a LOT of trouble understanding oriented matroid theory. ...
2
votes
0answers
40 views

Calculating second derivative of $g(\alpha) = f(\textbf{y}(\alpha))$

I'm having problems with the second derivative of the function $g(\alpha) = f(\textbf{y}(\alpha))$ (which I will define more precisely below). I tried calculating it myself, could anyone just simply ...
2
votes
0answers
292 views

Comparing two probability distributions

In my research I have to find two discrete probability distributions by solving two separate linear programs. The domain of optimization is the probability space of $m^n$ atomic events, where $n$ is ...
2
votes
0answers
81 views

Existence of a Linear Optimization Problem

I am working on a linear static optimization problem. I found a solution to the problem. However, I want to formally check the solution existence. I tried some methods but I don't know if it is enough ...
2
votes
0answers
54 views

Explicitly solving linear programming problems

Linear programming problems generically involve the use of a repeated algorithm to solve. Is there a reason they can't be solved algebraically/formulaically? Ex: Minimize x1 + x2 + x3.... x1, x2, ...
2
votes
0answers
44 views

How to visualize duality

In My course of linear programming we are given the definition of a primal/dual problem. However I cannot really get my heard around what it actually is? It helps us in later exercises. Are we ...
2
votes
0answers
52 views

Linear Program Transformations

I have a Linear Program with constrains of the form: $$a_{11}x_1+a_{12}x_2+\ldots\le 0$$ $$a_{21}x_1+a_{22}x_2+\ldots\le 0$$ $$a_{31}x_1+a_{32}x_2+\ldots\le 0$$ My problem is that if I try to ...
2
votes
0answers
49 views

Put positive polynomial in finite intersection of half-spaces

Denote by $V={\mathcal P}_{n,d}$ the space of polynomials in $n$ variables with degree at most $d$, with rational coefficients. Thus ${\mathcal P}_{n,d}$ had dimension $\binom{n+d}{n}$ over $\mathbb ...
2
votes
0answers
100 views

Need help finding unknowns in simplex tableau.

I need help with this homework problem. The objective is to maximize $2x_1 - 4x_2$, and the slack variables are $x_3 and x_4$. The constraints are $=<$ type. Tableau $\begin{matrix}z & x_1 ...
2
votes
0answers
201 views

fundamental theorem of linear inequalities

Do you know a proof for the fundamental theorem of linear inequalities, which does not employ an implicit use of the simplex algorithm? Let $a_1, \dots, a_n, b \in \mathbb R^m$. Then either $b$ is a ...
2
votes
0answers
176 views

Determine if a polyhedron is a polytope

Note, a polyhedron is the intersection of finitely many half spaces in $\mathbb{R}^n$ and a polytope is a bounded polyhedron. Let $M$ be an $m \times n$ matrix of integers. Let $P$ be the (possibly ...
2
votes
0answers
434 views

Reconstructing an optimal Simplex tableau from an optimal solution

I have here a bounded LP with infinite optimal solutions: ...
2
votes
0answers
179 views

intuitive explanation of Primal-Dual algorithms

I've recently heard of Primal-Dual algorithms and I was wondering if someone could give me an intuitive explanation of it. I searched online, but did not find an intuitive explanation. I'd be glad if ...
2
votes
0answers
95 views

How to get the initial ellipsoid in the ellipsoid method for solving optimization problem?

If what I assume is correct, assumption : for a maximization problem, we run a binary search over estimated values, starting with max estimated value, and narrow down to the feasible optimal value ...