/external/clang/include/clang/AST/ |
H A D | ASTDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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H A D | CommentDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Analysis/ |
H A D | AnalysisDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Basic/ |
H A D | DiagnosticCategories.h | 14 namespace diag { namespace in namespace:clang 23 } // end namespace diag
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H A D | DiagnosticIDs.h | 27 namespace diag { namespace in namespace:clang 80 static DiagnosticMapping Make(diag::Severity Severity, bool IsUser, 91 diag::Severity getSeverity() const { return (diag::Severity)Severity; } 92 void setSeverity(diag::Severity Value) { Severity = (unsigned)Value; } 116 diag::CustomDiagInfo *CustomDiagInfo; 232 SmallVectorImpl<diag::kind> &Diags) const; 235 void getAllDiagnostics(SmallVectorImpl<diag::kind> &Diags) const; 254 diag::Severity
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/external/clang/include/clang/Driver/ |
H A D | DriverDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Frontend/ |
H A D | FrontendDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Lex/ |
H A D | LexDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Parse/ |
H A D | ParseDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Sema/ |
H A D | SemaDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/clang/include/clang/Serialization/ |
H A D | SerializationDiagnostic.h | 16 namespace diag { namespace in namespace:clang 25 } // end namespace diag
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/external/eigen/doc/snippets/ |
H A D | Tridiagonalization_diagonal.cpp | 10 VectorXd diag = triOfA.diagonal(); variable 11 cout << "The diagonal is:" << endl << diag << endl;
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/external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
H A D | qrsolv.h | 11 const Matrix< Scalar, Dynamic, 1 > &diag, 43 if (diag[l] == 0.) 46 sdiag[j] = diag[l]; 7 qrsolv( Matrix< Scalar, Dynamic, Dynamic > &s, const VectorXi &ipvt, const Matrix< Scalar, Dynamic, 1 > &diag, const Matrix< Scalar, Dynamic, 1 > &qtb, Matrix< Scalar, Dynamic, 1 > &x, Matrix< Scalar, Dynamic, 1 > &sdiag) argument
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H A D | dogleg.h | 8 const Matrix< Scalar, Dynamic, 1 > &diag, 29 eigen_assert(n==diag.size()); 47 qnorm = diag.cwiseProduct(x).stableNorm(); 59 wa1[j] /= diag[j]; 72 wa1.array() /= (diag*gnorm).array(); 6 dogleg( const Matrix< Scalar, Dynamic, Dynamic > &qrfac, const Matrix< Scalar, Dynamic, 1 > &diag, const Matrix< Scalar, Dynamic, 1 > &qtb, Scalar delta, Matrix< Scalar, Dynamic, 1 > &x) argument
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H A D | lmpar.h | 9 const Matrix< Scalar, Dynamic, 1 > &diag, 32 eigen_assert(n==diag.size()); 62 wa2 = diag.cwiseProduct(x); 77 wa1[j] = diag[l] * (wa2[l] / dxnorm); 93 wa1[j] = r.col(j).head(j+1).dot(qtb.head(j+1)) / diag[ipvt[j]]; 114 wa1 = sqrt(par)* diag; 119 wa2 = diag.cwiseProduct(x); 133 wa1[j] = diag[l] * (wa2[l] / dxnorm); 166 const Matrix< Scalar, Dynamic, 1 > &diag, 190 eigen_assert(n==diag 6 lmpar( Matrix< Scalar, Dynamic, Dynamic > &r, const VectorXi &ipvt, const Matrix< Scalar, Dynamic, 1 > &diag, const Matrix< Scalar, Dynamic, 1 > &qtb, Scalar delta, Scalar &par, Matrix< Scalar, Dynamic, 1 > &x) argument 164 lmpar2( const ColPivHouseholderQR<Matrix< Scalar, Dynamic, Dynamic> > &qr, const Matrix< Scalar, Dynamic, 1 > &diag, const Matrix< Scalar, Dynamic, 1 > &qtb, Scalar delta, Scalar &par, Matrix< Scalar, Dynamic, 1 > &x) argument [all...] |
/external/chromium_org/cc/layers/ |
H A D | layer_utils_unittest.cc | 234 float diag = diagonal(bounds.width(), bounds.height()); local 235 gfx::BoxF expected(150.f + 0.5f * (bounds.width() - diag), 236 50.f + 0.5f * (bounds.height() - diag), 238 diag, 239 diag,
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/external/chromium_org/third_party/angle/src/compiler/preprocessor/ |
H A D | Preprocessor.cpp | 30 PreprocessorImpl(Diagnostics *diag, argument 32 : diagnostics(diag), 33 tokenizer(diag), 34 directiveParser(&tokenizer, ¯oSet, diag, directiveHandler), 35 macroExpander(&directiveParser, ¯oSet, diag)
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/external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
H A D | LMpar.h | 22 const VectorType &diag, 52 eigen_assert(n==diag.size()); 73 wa2 = diag.cwiseProduct(x); 86 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2)/dxnorm; 94 wa1[j] = s.col(j).head(j+1).dot(qtb.head(j+1)) / diag[qr.colsPermutation().indices()(j)]; 115 wa1 = sqrt(par)* diag; 120 wa2 = diag.cwiseProduct(x); 132 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2/dxnorm); 20 lmpar2( const QRSolver &qr, const VectorType &diag, const VectorType &qtb, typename VectorType::Scalar m_delta, typename VectorType::Scalar &par, VectorType &x) argument
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H A D | LMqrsolv.h | 26 const Matrix<Scalar,Dynamic,1> &diag, 56 if (diag[l] == 0.) 59 sdiag[j] = diag[l]; 106 const Matrix<Scalar,Dynamic,1> &diag, 132 if (diag(l) == Scalar(0)) 135 sdiag[j] = diag[l]; 23 lmqrsolv( Matrix<Scalar,Rows,Cols> &s, const PermutationMatrix<Dynamic,Dynamic,Index> &iPerm, const Matrix<Scalar,Dynamic,1> &diag, const Matrix<Scalar,Dynamic,1> &qtb, Matrix<Scalar,Dynamic,1> &x, Matrix<Scalar,Dynamic,1> &sdiag) argument 103 lmqrsolv( SparseMatrix<Scalar,_Options,Index> &s, const PermutationMatrix<Dynamic,Dynamic> &iPerm, const Matrix<Scalar,Dynamic,1> &diag, const Matrix<Scalar,Dynamic,1> &qtb, Matrix<Scalar,Dynamic,1> &x, Matrix<Scalar,Dynamic,1> &sdiag) argument
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/external/eigen/Eigen/src/SparseLU/ |
H A D | SparseLU_pivotL.h | 76 Index diag = emptyIdxLU; local 85 if (lsub_ptr[isub] == diagind) diag = isub; 101 if (diag >= 0 ) 104 rtemp = std::abs(lu_col_ptr[diag]); 105 if (rtemp != 0.0 && rtemp >= thresh) pivptr = diag;
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/external/eigen/blas/ |
H A D | level3_impl.h | 66 int EIGEN_BLAS_FUNC(trsm)(char *side, char *uplo, char *opa, char *diag, int *m, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *pb, int *ldb) argument 68 // std::cerr << "in trsm " << *side << " " << *uplo << " " << *opa << " " << *diag << " " << *m << "," << *n << " " << *palpha << " " << *lda << " " << *ldb<< "\n"; 122 else if(DIAG(*diag)==INVALID) info = 4; 130 int code = OP(*opa) | (SIDE(*side) << 2) | (UPLO(*uplo) << 3) | (DIAG(*diag) << 4); 152 int EIGEN_BLAS_FUNC(trmm)(char *side, char *uplo, char *opa, char *diag, int *m, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *pb, int *ldb) argument 154 // std::cerr << "in trmm " << *side << " " << *uplo << " " << *opa << " " << *diag << " " << *m << " " << *n << " " << *lda << " " << *ldb << " " << *palpha << "\n"; 206 else if(DIAG(*diag)==INVALID) info = 4; 214 int code = OP(*opa) | (SIDE(*side) << 2) | (UPLO(*uplo) << 3) | (DIAG(*diag) << 4);
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H A D | level2_impl.h | 76 int EIGEN_BLAS_FUNC(trsv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pa, int *lda, RealScalar *pb, int *incb) argument 112 else if(DIAG(*diag)==INVALID) info = 3; 121 int code = OP(*opa) | (UPLO(*uplo) << 2) | (DIAG(*diag) << 3); 131 int EIGEN_BLAS_FUNC(trmv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pa, int *lda, RealScalar *pb, int *incb) argument 167 else if(DIAG(*diag)==INVALID) info = 3; 181 int code = OP(*opa) | (UPLO(*uplo) << 2) | (DIAG(*diag) << 3); 270 int EIGEN_BLAS_FUNC(tbmv)(char *uplo, char *opa, char *diag, int *n, int *k, RealScalar *pa, int *lda, RealScalar *px, int *incx) 279 else if(DIAG(*diag)==INVALID) info = 3; 332 int EIGEN_BLAS_FUNC(tbsv)(char *uplo, char *op, char *diag, int *n, int *k, RealScalar *pa, int *lda, RealScalar *px, int *incx) argument 369 else if(DIAG(*diag) 402 tpmv(char *uplo, char *opa, char *diag, int *n, RealScalar *pap, RealScalar *px, int *incx) argument 473 tpsv(char *uplo, char *opa, char *diag, int *n, RealScalar *pap, RealScalar *px, int *incx) argument [all...] |
/external/eigen/unsupported/test/ |
H A D | matrix_function.cpp | 31 MatrixType diag = MatrixType::Zero(size, size); local 33 diag(i, i) = Scalar(RealScalar(internal::random<int>(0,2))) 38 return QRofA.householderQ().inverse() * diag * QRofA.householderQ(); 56 MatrixType diag = MatrixType::Zero(size, size); local 61 diag(i, i) = internal::random<Scalar>() * Scalar(0.01); 65 diag(i, i+1) = alpha; 66 diag(i+1, i) = -alpha; 72 return QRofA.householderQ().inverse() * diag * QRofA.householderQ(); 86 MatrixType diag = MatrixType::Zero(size, size); local 88 diag( [all...] |
/external/clang/lib/ARCMigrate/ |
H A D | Internals.h | 30 void push_back(const StoredDiagnostic &diag) { List.push_back(diag); } argument 54 TransformActions(DiagnosticsEngine &diag, CapturedDiagList &capturedDiags,
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/external/eigen/Eigen/src/Eigenvalues/ |
H A D | Tridiagonalization.h | 392 * \param[out] diag The diagonal of the tridiagonal matrix T in the 403 * The tridiagonal matrix T is passed to the output parameters \p diag and \p subdiag. If 407 * The vectors \p diag and \p subdiag are not resized. The function 409 * vector \p diag should equal the number of rows in \p mat, and the 427 void tridiagonalization_inplace(MatrixType& mat, DiagonalType& diag, SubDiagonalType& subdiag, bool extractQ) argument 429 eigen_assert(mat.cols()==mat.rows() && diag.size()==mat.rows() && subdiag.size()==mat.rows()-1); 430 tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, extractQ); 443 static void run(MatrixType& mat, DiagonalType& diag, SubDiagonalType& subdiag, bool extractQ) argument 447 diag = mat.diagonal().real(); 467 static void run(MatrixType& mat, DiagonalType& diag, SubDiagonalTyp argument 511 run(MatrixType& mat, DiagonalType& diag, SubDiagonalType&, bool extractQ) argument [all...] |