# Questions tagged [numerical-optimization]

Numerical methods for continuous optimization.

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### A global optima: $\text{max}_{x} \frac{1}{2}\left\| X (a + b) \right\|_2^2 \ \text{s.t.} \ a^T X b \leq \delta; 0 < x \leq 1$,$X := {\rm Diag}(x)$

How to find (using any software) a global optimum for such a (non-convex) problem \begin{align} \text{maximize}_{x \in \mathbb{R}^{n \times 1}} \quad & \frac{1}{2}\left\| X (a + b) \right\|_2^2\\ ...
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### Jacobian of exponential mapping in SO3/SE3

Following this post Jacobian matrix of the Rodrigues' formula (exponential map) What if I really need the Jacobian of the exponential mapping function in $\omega \neq 0$? Basically, I want to ...
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### Generalizing the conjugate gradient like this works?

Given $A \in \mathbb{R}^{n \times n}$, a SPD matrix, and a vector $b \in \mathbb{R}^n$, it is possible to solve the problem $$\min_x \| Ax - b\|$$ with the conjugate gradient method. Its algorithm ...
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### How to optimize a function with the following constraints by using gradient descent?

I am not currently unfamiliar with a numerical optimization, so I am studying them. What I am wondering is that I'd like to optimize a certain function with the following constraints by using gradient ...
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### What does “reduced-Hessian” mean? [closed]

What does "reduced-Hessian" mean? I came across this concept in the book named "numerical optimization". Thanks a lot.
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### Showing a Chebyshev set

I want to show that $\{1,e^{ix},...,e^{(n-1)x} \}$ is a Chebyshev Set on $(0,2\pi]$. Now I know that $\{1,x,...,x^n \}$ is one and that $e^{ix}$ is injective on $(0,2\pi]$. But how do I show that if I ...