List questions from numerical-optimization

Published on 24 Feb 2026 - 15:25

38

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Optimization of a function with only a few partial derivatives available

Published on 16 Dec 2023 - 22:47

33

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Optimization Models and the chicken-and-egg problem

Published on 27 Mar 2026 - 22:03

128

Views

Minimum number of required function values to maximize a quadratic form

Published on 21 Dec 2023 - 16:55

52

Views

Solving a matrix optimization problem

Published on 26 Mar 2026 - 22:50

107

Views

Numerical gradient calculation for optimal control of PDE

Published on 27 Mar 2026 - 21:34

26

Views

Fair Bandwidth Allocation

Published on 26 Mar 2026 - 7:37

87

Views

Minimal optimization using a cost function

Published on 17 Jan 2024 - 5:56

42

Views

$L^1$-norm minimization using combinations and a scalar variable

Published on 18 Jan 2024 - 13:27

35

Views

Least squares regression with stable and non-negative constraint

Published on 23 Feb 2026 - 2:55

36

Views

What does singular hessian in optimization tell me

Published on 29 Mar 2026 - 4:48

38

Views

Is there any method that can optimize the problem whose regularizer is kurtosis term?

Published on 25 Mar 2026 - 21:30

42

Views

Minimizaiton of $f\mapsto\int\frac12\|f\|^2+\nabla\cdot f\:{\rm d}\mu$, when $\mu$ is only given by i.i.d. samples

Published on 28 Mar 2026 - 6:41

23

Views

Most efficient bounded maximum of high degree polynomial

Published on 27 Mar 2026 - 5:37

26

Views

Newton's convergence for systems of equation analysis

Published on 27 Mar 2026 - 3:41

List Question

Prove a lemma of the conjugate gradient method

Optimization of a function with only a few partial derivatives available

Optimization Models and the chicken-and-egg problem

Minimum number of required function values to maximize a quadratic form

Solving a matrix optimization problem

Numerical gradient calculation for optimal control of PDE

Fair Bandwidth Allocation

Minimal optimization using a cost function

$L^1$-norm minimization using combinations and a scalar variable

Least squares regression with stable and non-negative constraint

What does singular hessian in optimization tell me

Is there any method that can optimize the problem whose regularizer is kurtosis term?

Minimizaiton of $f\mapsto\int\frac12\|f\|^2+\nabla\cdot f\:{\rm d}\mu$, when $\mu$ is only given by i.i.d. samples

Most efficient bounded maximum of high degree polynomial

Newton's convergence for systems of equation analysis

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