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Why don't people do simulated annealing before gradient descent?

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#optimization #gradient-descent
514
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How to choose $\alpha$ and $\beta$ in backtracking line search method in convex optimization?

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#optimization #convex-optimization #newton-raphson #gradient-descent
391
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Difficulty implementing logarithmic barrier in Matlab.

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#convex-optimization #matlab #numerical-optimization #newton-raphson #gradient-descent
224
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Optimize quadratic non-convex function with project gradient descent

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#optimization #quadratic-programming #gradient-descent #non-convex-optimization
784
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How to find the gradient of an objective function without knowing the function?

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#derivatives #vector-spaces #euclidean-geometry #nonlinear-optimization #gradient-descent
69
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How to prove a specific cost function shows that gradient descent is an inefficient approach to the problem?

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#optimization #convex-analysis #numerical-optimization #gradient-descent
1.1k
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Normalized steepest descent

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#optimization #convex-optimization #numerical-optimization #gradient-descent
175
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Gradient of dot product which contains l1-norm

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#algorithms #normed-spaces #matrix-equations #matrix-calculus #gradient-descent
140
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Maximization algorithm for function with unknown derivative?

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#optimization #monte-carlo #gradient-descent
208
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Is the directional derivative $f'(x;d)$ ALWAYS equal to $\nabla f^T d$? or only under certain conditions?

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#multivariable-calculus #derivatives #convex-optimization #vector-analysis #gradient-descent
312
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How to prove identity $\nabla f(x) = \nabla F(x)*F(x)$ for 2-norm squared when chain rule says otherwise?

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#calculus #derivatives #vector-spaces #vector-analysis #gradient-descent
61
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Derivation of the gradient in "Fast dropout training" paper

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#approximation #neural-networks #gradient-descent
1.1k
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Gradient of a sum log function

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#multivariable-calculus #derivatives #partial-derivative #vector-analysis #gradient-descent
392
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What is intuition behind direction of derivative of a function?

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#functions #derivatives #partial-derivative #gradient-descent #slope
36
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Gradient of a partial differential matrix

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#matrices #partial-derivative #gradient-descent

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