Is this the end?
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24 changed files with 8191 additions and 4584 deletions
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+ *lists*: optimal weights $bold(h)_"opt"$
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+ $bold(cal(o)) arrow.l bold(cal(o))_"first"$
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+ #line-label(<alg:bach_1_1>) *repeat* t times:
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+ *perform* @alg:best_appr for all input values with $bold(cal(o))$:
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+ *update* $bold(h)_"opt"$ with returned weights
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+ *perform* #smallcaps[OptimalWeights($bold(cal(0)), bold(x))$]:
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+ #line-label(<alg:bach_1_2>) *update* $bold(h)_"opt"$ with returned weights
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+ $bold(z)_"opt" arrow.l$ all returned linear combinations
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+ #line-label(<alg:bach_1_2>) *sort* $bold(z)_"opt"$ in ascending order
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+ #line-label(<alg:bach_1_3>) *define* new quantizer $cal(Q)^*$ using the @ecdf based on $bold(z)_"opt"$
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+ #line-label(<alg:bach_1_4>) *update* $bold(cal(o))$ with newly found quantizer step centers
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+ *define* new quantizer $cal(Q)^*$ using the @ecdf based on $bold(z)_"opt"$:
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+ *sort* $bold(z)_"opt"$ in ascending order
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+ $cal(Q)^* arrow.l $ use @eq:ecdf_inverse with quantizer bounds in the tilde domain
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+ #line-label(<alg:bach_1_3>) *update* $bold(cal(o))$ with newly found quantizer step centers
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+ *return* $bold(h)_"opt"$
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]
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#import "@preview/lovelace:0.3.0": *
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#pseudocode-list(booktabs: true, numbered-title: [Find best approximation])[
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#pseudocode-list(booktabs: true, numbered-title: [OptimalWeights to approximate $bold(cal(o))$])[
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+ *inputs*:
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+ $bold(y)$ input values for linear combinations
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+ $bold(cal(o))$ list of optimal points
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