List questions from numerical-optimization

Published on 28 Mar 2026 - 10:03

171

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Show that in Line Search Methods the "steepest descent direction" is the one along which the objective function decreases most rapidly

Published on 04 Sep 2015 - 10:16

79

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Optimizing multivariable functions by sections

Published on 10 Sep 2015 - 0:56

62

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Computational methods to minimizing the norm of a matrix monomial.

Published on 10 Sep 2015 - 8:29

1.9k

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Gradient descent and penalty method

Published on 11 Sep 2015 - 17:41

406

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Optimization Problem Involving $ {L}_{2} $, $ {L}_{1} $ Norm and Constraints

Published on 25 Mar 2026 - 15:41

88

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How to obtain the best fit?

Published on 28 Mar 2026 - 15:11

103

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How to show the existence of positive root for this equation?

Published on 03 Oct 2015 - 12:04

300

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Show that n(n+1)/2 multiplications are required

Published on 27 Mar 2026 - 4:17

64

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Choosing a non-convex global optimization algorithm based on the number of permitted steps

Published on 07 Oct 2015 - 0:28

1.6k

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references: L-BFGS rate of convergence

Published on 14 Oct 2015 - 14:43

112

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Holding the constraints of a constrained optimization when transformed into unconstrained optimization

Published on 30 Mar 2026 - 4:42

3.9k

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Examples where constant step-size gradient descent fails everywhere?

Published on 31 Oct 2015 - 23:54

72

Views

Convex optimization where both the region and function are ugly

Published on 02 Nov 2015 - 19:14

78

Views

Separable linear programs

Published on 22 Feb 2026 - 20:06

List Question

Optimizing sums of log det

Show that in Line Search Methods the "steepest descent direction" is the one along which the objective function decreases most rapidly

Optimizing multivariable functions by sections

Computational methods to minimizing the norm of a matrix monomial.

Gradient descent and penalty method

Optimization Problem Involving $ {L}_{2} $, $ {L}_{1} $ Norm and Constraints

How to obtain the best fit?

How to show the existence of positive root for this equation?

Show that n(n+1)/2 multiplications are required

Choosing a non-convex global optimization algorithm based on the number of permitted steps

references: L-BFGS rate of convergence

Holding the constraints of a constrained optimization when transformed into unconstrained optimization

Examples where constant step-size gradient descent fails everywhere?

Convex optimization where both the region and function are ugly

Separable linear programs

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