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Questions tagged [quadratic-programming]

Questions on quadratic programming, the optimization of a quadratic objective function subject to affine constraints.

0 votes
1 answer
43 views

I have a constraint optimization problem where the Objectif function is the sum of quadratic functions of the form $$ C_i = a_i g_{i}^2 + b_i g_{i} + c_i $$ $\{g_i\}$ are the variables, $\{a_i\},\{b_i\...
kyril's user avatar
  • 71
7 votes
2 answers
395 views

Let $R$ be some rectangle: $R=[a_1,b_1)\times \dots\times [a_n,b_n)\subset \mathbb{R}^n.$ Suppose $C$ is some $n\times n$ real positive-definite matrix. Is there a closed form for the min and max of $...
Christian Chapman's user avatar
0 votes
0 answers
69 views

Context and setup I am developing a library for multi-objective optimization. The idea is that instead of doing gradient descent, we have a Jacobian matrix whose rows are the gradients of our ...
P. Quinton's user avatar
  • 6,374
0 votes
1 answer
54 views

I appologise in advance if this is a simple question. I have been trying to check some references like Boyd's book, but i can't piece together the parts that I need to asnwer this question. I've tried ...
Lucca's user avatar
  • 13
1 vote
0 answers
84 views

I'm writing to ask for your advice on an optimisation problem (unfortunately I'm not an expert), namely: \begin{array}{ll} \min\limits_{x \in \mathbb{R}^n} & \frac{1}{2} \| \mathbf{x} - \mathbf{y}...
pasquale_77's user avatar
0 votes
0 answers
41 views

In introducucing the support vector machines we have that we have $N$ vectors of dimension $p,$ $\{\textbf{x}_i\}_{i=1}^N$, we also have $\{y_i\}_{i=1}^N$ where $y_i\in\{-1,1\}$. If the two groups are ...
user394334's user avatar
  • 1,727
0 votes
0 answers
32 views

Consider the following constrained quadratic optimization problem: $\min_{\mathbf{u}} \quad \mathbf{u}^T \mathbf{H} \mathbf{u} + \mathbf{u}^T \mathbf{g}$ subject to: $\mathbf{u}_{\text{min}} \leq \...
Mehdi asselman's user avatar
0 votes
0 answers
36 views

I'am having problems understanding the a step in the solution proposed by my teacher(s) for the problem to minimize $\frac{1}{2}(x-\bar{x})^\top Q(x-\bar{x}) + c^\top(x-\bar{x})$ subject to $Ax = b$, ...
nazorated's user avatar
  • 149
5 votes
2 answers
200 views

I currently have the following problem to solve : $$ \underset{\mathbf{x}\geq \mathbf{1}}{\min} \quad \mathbf{x}^T\mathbf{Q}\mathbf{x}. $$ Here $\mathbf{x} \geq \mathbf{1}$ refers to elementwise ...
Nicolate's user avatar
0 votes
1 answer
106 views

I am trying to dualize a QP where the quadratic term is in the objective and the constraints are linear where Q is symmetric positive definite. $$ \begin{align*} \min \quad & \frac{1}{2} x^T Q x + ...
Abilash's user avatar
0 votes
0 answers
54 views

Problem Formulation We aim to solve the following convex quadratic optimization problem: Objective Function: Minimize: $$ f(x) = \frac{1}{2} x^\top Q x + q^\top x, $$ where: ( Q ) is a positive ...
Roger's user avatar
  • 1
1 vote
0 answers
61 views

I have a set of quadratic costs, where cost $i$ is of the form $$ f_i(x) = \frac{1}{2} x^T Q_i x + b_ix$$ which means the gradient is $$ \frac{df}{dx}(x) = \sum_i Q_ix + b_i$$. When optimizing these ...
Izzy Brand's user avatar
2 votes
0 answers
132 views

I want to find the biggest ellipsoid of fixed axes contained within a given box. More precisely, assume I want to maximize the Mahalanobis distance $(x-\mu)^T \Sigma^{-1} (x-\mu)$ where $\mu$ and $\...
MysteryGuy's user avatar
1 vote
1 answer
103 views

Let $X,Y\in \mathbb{R}^{d\times n}$ and $W\in\mathbb{R}^{d\times d}$. Is there a closed-form solution to the following minimization problem? $$\min_W \|WX - Y\|_F^2, \quad W \succeq 0.$$
user3750444's user avatar
2 votes
1 answer
116 views

I'd like to minimize the trace of $P - XHP - PH^T X^T + XSX^T$ with the constraints that every entry of $X \geq 0$ here $P$ is $n$ by $n$ positive definite, $H$ is $m$ by $n$, S is $m$ by $m$ positive ...
zvi's user avatar
  • 309

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