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How can one do fast bit-wise inverse derivative / gradient over $Z^2$ or $GF(2)$?

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#reference-request #soft-question #finite-fields #computational-mathematics #conjugate-gradient
57
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Proof regarding the Conjugate Gradient Method

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#numerical-methods #conjugate-gradient
42
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Prove a lemma of the conjugate gradient method

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#numerical-methods #numerical-optimization #conjugate-gradient
15
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Show that to reduce the initial error by the factor $\varepsilon$ at most many iteration steps are required

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#numerical-methods #positive-definite #numerical-optimization #conjugate-gradient
25
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Proximal operator of conjugate of Euclidean norm

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#algorithms #convex-optimization #proximal-operators #conjugate-gradient
4.7k
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Newton conjugate gradient algorithm

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#calculus #linear-algebra #optimization #numerical-methods #conjugate-gradient
139
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Do there exist Conjugate-Gradient algorithms for "nested" inverses.

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#linear-algebra #reference-request #soft-question #numerical-linear-algebra #conjugate-gradient
63
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Inequality in Conjugate gradient method for solving linear system

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#linear-algebra #systems-of-equations #spectral-radius #spectral-norm #conjugate-gradient
159
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Descent direction with symmetrically positive definite hessian matrix and $∇f(x_{k})=0$ with $Hf(xk)d_{k}=−∇f(x_{k})$

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#positive-definite #numerical-optimization #gradient-descent #hessian-matrix #conjugate-gradient
59
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Solving regression problem via conjugate gradient

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#regression #svd #conjugate-gradient
48
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Understanding how conjugate gradient is used in minimization?

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#optimization #numerical-linear-algebra #nonlinear-optimization #conjugate-gradient
81
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Does CR for positive definite matrices have the same convergence theorem as CG?

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#linear-algebra #algorithms #numerical-linear-algebra #analysis-of-algorithms #conjugate-gradient
90
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Boyd & Vandenberghe, Exercise 3.36(e) — Conjugate of the negative geometric mean

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#real-analysis #convex-analysis #convex-optimization #convex-geometry #conjugate-gradient
74
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Boyd & Vandenberghe, exercise 3.39 (c): Conjugate and minimization.

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#real-analysis #convex-analysis #convex-optimization #conjugate-gradient
34
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Unclear point: how do we know gradient at time step $t+1$ in conjugate gradient descent$\,$?

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#optimization #numerical-optimization #conjugate-gradient

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