/external/clang/lib/AST/ |
Decl.cpp | 89 /// Kinds of LV computation. The linkage side of the computation is 93 /// Do an LV computation for, ultimately, a type. 98 /// Do an LV computation for, ultimately, a non-type declaration. 103 /// Do an LV computation for, ultimately, a type that already has 108 /// Do an LV computation for, ultimately, a non-type declaration 114 /// Does this computation kind permit us to consider additional 116 static bool hasExplicitVisibilityAlready(LVComputationKind computation) { 117 return ((unsigned(computation) & IgnoreExplicitVisibilityBit) != 0); 142 /// visibility computation 888 LVComputationKind computation = local [all...] |
/external/libvorbis/doc/ |
07-floor1.tex | 35 \item floor computation produces two new line segments, one running from 42 the codec setup header at floor 1 initialization time. Computation 74 pattern should be clear; we complete the floor computation as follows: 88 algorithm splits Y value computation and line plotting into two steps 237 \paragraph{curve computation} \label{vorbis:spec:floor1-synth} 239 Curve computation is split into two logical steps; the first step 244 conditionally skipped during final line computation in step two.
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06-floor0.tex | 91 required for curve computation. For example, if the VQ codebook used 104 \subsubsection{curve computation} \label{vorbis:spec:floor0-synth}
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04-codec.tex | 533 length for floor computation is \varname{[n]}/2.
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/external/v8/test/mjsunit/regress/ |
regress-728.js | 36 // Force computation of hash for the string representation of array index.
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regress-732.js | 41 // Force hash computation for the string representation of index.
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/external/ceres-solver/docs/ |
changes.tex | 75 \item Numerically robust computation of \texttt{model\_cost\_change}. 105 \item Gradient computation support in the evaluators, with an eye
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solving.tex | 115 The key advantage of the Dogleg over Levenberg Marquardt is that if the step computation for a particular choice of $\mu$ does not result in sufficient decrease in the value of the objective function, Levenberg-Marquardt solves the linear approximation from scratch with a smaller value of $\mu$. Dogleg on the other hand, only needs to compute the interpolation between the Gauss-Newton and the Cauchy vectors, as neither of them depend on the value of $\mu$. 435 (\texttt{LEVENBERG\_MARQUARDT}) The trust region step computation [all...] |
modeling.tex | 33 The most important method here is \texttt{Evaluate}. It implements the residual and Jacobian computation.
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/external/v8/benchmarks/ |
base.js | 56 // mean computation.
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deltablue.js | 634 * that do no computation, such as stay and edit constraints, are
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/external/llvm/examples/OCaml-Kaleidoscope/Chapter7/ |
codegen.ml | 284 (* Return the body computation. *)
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/external/dropbear/libtommath/ |
bn.tex | 573 /* use the number [e.g. pre-computation] */ [all...] |
/external/antlr/antlr-3.4/runtime/ActionScript/project/src/org/antlr/runtime/ |
BaseRecognizer.as | 358 * from within the rule; i.e., the FIRST computation done by
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/external/webkit/PerformanceTests/SunSpider/tests/v8-v4/ |
v8-deltablue.js | 628 * that do no computation, such as stay and edit constraints, are
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/external/webkit/PerformanceTests/SunSpider/tests/v8-v5/ |
v8-deltablue.js | 628 * that do no computation, such as stay and edit constraints, are
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/external/webkit/PerformanceTests/SunSpider/tests/v8-v6/ |
v8-deltablue.js | 628 * that do no computation, such as stay and edit constraints, are
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/external/dropbear/libtomcrypt/ |
crypt.tex | [all...] |
/external/antlr/antlr-3.4/runtime/Delphi/Sources/Antlr3.Runtime/ |
Antlr.Runtime.pas | [all...] |
/external/grub/docs/ |
texinfo.tex | [all...] |
/external/bison/build-aux/ |
texinfo.tex | [all...] |
/ndk/sources/host-tools/sed-4.2.1/build-aux/ |
texinfo.tex | [all...] |
/build/tools/droiddoc/templates-sac/assets/js/ |
android_3p-bundle.js | [all...] |
/build/tools/droiddoc/templates-sdk/assets/js/ |
android_3p-bundle.js | [all...] |