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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/cmd/internal/objfile/disasm.go
"golang.org/x/arch/ppc64/ppc64asm" "golang.org/x/arch/x86/x86asm" ) // Disasm is a disassembler for a given File. type Disasm struct { syms []Sym //symbols in file, sorted by address pcln Liner // pcln table text []byte // bytes of text segment (actual instructions) textStart uint64 // start PC of text textEnd uint64 // end PC of text
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Sep 20 02:13:02 UTC 2022 - 10.5K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/html.go
sl := strings.Split(l, ":") if len(sl) >= 3 { if _, err := strconv.Atoi(sl[len(sl)-2]); err == nil { lineNo = sl[len(sl)-2] } } escaped = html.EscapeString(l) } } if lineNo != "" { fmt.Fprintf(&out, "<div class=\"l%v line-number ast\">%v</div>", lineNo, escaped) } else { fmt.Fprintf(&out, "<div class=\"ast\">%v</div>", escaped) } } fmt.Fprint(&out, "</div>")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Oct 04 15:11:40 UTC 2023 - 34.8K 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) -
tests/test_tutorial/test_body/test_tutorial001.py
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 14.7K bytes - Viewed (0) -
tests/test_tutorial/test_body/test_tutorial001_py310.py
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 15K 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) -
src/cmd/vendor/github.com/google/pprof/internal/report/report.go
} flat, cum := n.FlatValue(), n.CumValue() l := &profile.Location{ ID: uint64(i + 1), Address: n.Info.Address, Line: []profile.Line{ { Line: int64(n.Info.Lineno), Column: int64(n.Info.Columnno), Function: f, }, }, } fv, _ := measurement.Scale(flat, o.SampleUnit, o.OutputUnit) cv, _ := measurement.Scale(cum, o.SampleUnit, o.OutputUnit)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 37.5K bytes - Viewed (0)