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Results 11 - 20 of 76 for linear_1 (0.18 sec)
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android/guava/src/com/google/common/collect/TopKSelector.java
} return this; } /** * Adds each member of {@code elements} as a candidate for the top {@code k} elements. This * operation takes amortized linear time in the length of {@code elements}. * * <p>If all input data to this {@code TopKSelector} is in a single {@code Iterable}, prefer
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Mon Apr 01 16:15:01 UTC 2024 - 11.2K bytes - Viewed (0) -
guava/src/com/google/common/collect/TopKSelector.java
} return this; } /** * Adds each member of {@code elements} as a candidate for the top {@code k} elements. This * operation takes amortized linear time in the length of {@code elements}. * * <p>If all input data to this {@code TopKSelector} is in a single {@code Iterable}, prefer
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Mon Apr 01 16:15:01 UTC 2024 - 11.2K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStats.java
return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas)); } /** * Returns a linear transformation giving the best fit to the data according to <a * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0) -
guava/src/com/google/common/math/PairedStats.java
return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas)); } /** * Returns a linear transformation giving the best fit to the data according to <a * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0) -
src/index/suffixarray/sais.go
// is widened to a full integer array.) // The overall runtime of this code is linear in the input size: // it runs a sequence of linear passes to reduce the problem to // a subproblem at most half as big, invokes itself recursively, // and then runs a sequence of linear passes to turn the answer // for the subproblem into the answer for the original problem.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 18 23:57:18 UTC 2024 - 32.4K bytes - Viewed (0) -
pkg/ctrlz/assets/static/css/all.css
} img { max-width: 100% !important } pre, blockquote, img { page-break-inside: avoid } } header .navbar { background-image: linear-gradient(to right, #466BB0, #68AAF7); box-shadow: 0 0 2px 2px rgba(0, 0, 0, 0.14), 0 2px 4px 2px rgba(0, 0, 0, 0.28); padding-top: .2em; padding-bottom: .2em } header .navbar .logo {
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Tue May 23 17:08:31 UTC 2023 - 17.1K bytes - Viewed (0) -
src/cmd/trace/pprof.go
// Insert regardless of whether we have a match in m.pcs. // Even if we have a match, we want to keep the newest version // of that stack, since we're much more likely tos see it again // as we iterate through the trace linearly. Simultaneously, we // are likely to never see the old stack again. m.pcs[pcs] = stack m.stacks[stack] = rec return rec } func (m *stackMap) profile() []traceviewer.ProfileRecord {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 18:48:18 UTC 2024 - 10.1K bytes - Viewed (0) -
src/internal/reflectlite/type.go
// In both cases the algorithm is a linear scan over the two // lists - T's methods and V's methods - simultaneously. // Since method tables are stored in a unique sorted order // (alphabetical, with no duplicate method names), the scan // through V's methods must hit a match for each of T's // methods along the way, or else V does not implement T. // This lets us run the scan in overall linear time instead of
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 07 17:01:54 UTC 2024 - 16.2K bytes - Viewed (0) -
tensorflow/cc/gradients/linalg_grad.cc
// // Proof: For unary einsum equations involving only transpose ("ij->ji") and // traces ("ii->i"), the linear mapping's Jacobian at input x is given // by the function itself. We can verify that the linear map given by the // VJP are einsums with the equations "ji->ij" and "i->ii" respectively, // where the latter represents 'un-tracing', or filling the diagonal with
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 20.4K bytes - Viewed (0) -
pkg/proxy/iptables/number_generated_rules_test.go
// that is modifying the code can have feedback about the performance impact // on their changes. It also runs multiple number of rules test cases to check // if the number of rules grows linearly. func TestNumberIptablesRules(t *testing.T) { testCases := []struct { name string epsFunc func(eps *discovery.EndpointSlice) svcFunc func(svc *v1.Service)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue May 21 14:39:54 UTC 2024 - 13.1K bytes - Viewed (0)