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  /external/webrtc/webrtc/base/
exp_filter.cc 20 alpha_ = alpha;
29 filtered_ = alpha_ * filtered_ + (1 - alpha_) * sample;
31 float alpha = pow(alpha_, exp);
41 alpha_ = alpha;
exp_filter.h 33 // y(k) = min(alpha_^ exp * y(k-1) + (1 - alpha_^ exp) * sample, max_).
43 float alpha_; // Filter factor base. member in class:rtc::ExpFilter
  /external/elfutils/backends/
alpha_auxv.c 33 #define BACKEND alpha_
alpha_corenote.c 39 #define BACKEND alpha_
alpha_init.c 34 #define BACKEND alpha_
alpha_regs.c 36 #define BACKEND alpha_
alpha_retval.c 36 #define BACKEND alpha_
  /external/ceres-solver/examples/
fields_of_experts.h 81 explicit FieldsOfExpertsLoss(double alpha) : alpha_(alpha) { }
85 const double alpha_; member in class:ceres::examples::FieldsOfExpertsLoss
137 std::vector<double> alpha_; member in class:ceres::examples::FieldsOfExperts
fields_of_experts.cc 83 rho[0] = alpha_ * log(sum);
84 rho[1] = alpha_ * c * inv;
85 rho[2] = - alpha_ * c * c * inv * inv;
111 alpha_.resize(num_filters_);
113 foe_file >> alpha_[i]; local
147 return new FieldsOfExpertsLoss(alpha_[alpha_index]);
  /external/eigen/Eigen/src/Core/products/
GeneralMatrixMatrixTriangular_MKL.h 89 MKLTYPE alpha_, beta_; \
91 /* Set alpha_ & beta_ */ \
92 assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(alpha_, alpha); \
94 MKLFUNC(&uplo, &trans, &n, &k, &alpha_, lhs, &lda, &beta_, res, &ldc); \
114 RTYPE alpha_, beta_; \
117 /* Set alpha_ & beta_ */ \
118 /* assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(alpha_, alpha); */\
120 alpha_ = alpha.real(); \
130 MKLFUNC(&uplo, &trans, &n, &k, &alpha_, (MKLTYPE*)a_ptr, &lda, &beta_, (MKLTYPE*)res, &ldc); \
SelfadjointMatrixMatrix_MKL.h 60 MKLTYPE alpha_, beta_; \
69 /* Set alpha_ & beta_ */ \
70 assign_scalar_eig2mkl(alpha_, alpha); \
89 MKLPREFIX##symm(&side, &uplo, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
111 MKLTYPE alpha_, beta_; \
121 /* Set alpha_ & beta_ */ \
122 assign_scalar_eig2mkl(alpha_, alpha); \
157 MKLPREFIX##hemm(&side, &uplo, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
187 MKLTYPE alpha_, beta_; \
195 /* Set alpha_ & beta_ */
    [all...]
GeneralMatrixMatrix_MKL.h 69 MKLTYPE alpha_, beta_; \
82 /* Set alpha_ & beta_ */ \
83 assign_scalar_eig2mkl(alpha_, alpha); \
106 MKLPREFIX##gemm(&transa, &transb, &m, &n, &k, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
SelfadjointMatrixVector_MKL.h 89 MKLTYPE alpha_, beta_; \
92 assign_scalar_eig2mkl(alpha_, alpha); \
101 MKLFUNC(&uplo, &n, &alpha_, (const MKLTYPE*)lhs, &lda, (const MKLTYPE*)x_ptr, &incx, &beta_, (MKLTYPE*)res, &incy); \
TriangularMatrixVector_MKL.h 110 MKLTYPE alpha_, beta_; \
111 assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(alpha_, alpha); \
129 MKLPREFIX##axpy(&n, &alpha_,(const MKLTYPE*)x, &incx, (MKLTYPE*)_res, &incy); \
148 MKLPREFIX##gemv(&trans, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)x, &incx, &beta_, (MKLTYPE*)y, &incy); \
195 MKLTYPE alpha_, beta_; \
196 assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(alpha_, alpha); \
214 MKLPREFIX##axpy(&n, &alpha_,(const MKLTYPE*)x, &incx, (MKLTYPE*)_res, &incy); \
233 MKLPREFIX##gemv(&trans, &n, &m, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)x, &incx, &beta_, (MKLTYPE*)y, &incy); \
GeneralMatrixVector_MKL.h 102 MKLTYPE alpha_, beta_; \
109 assign_scalar_eig2mkl(alpha_, alpha); \
118 MKLPREFIX##gemv(&trans, &m, &n, &alpha_, (const MKLTYPE*)lhs, &lda, (const MKLTYPE*)x_ptr, &incx, &beta_, (MKLTYPE*)res, &incy); \
  /external/ImageMagick/Magick++/lib/Magick++/
Color.h 75 const Quantum alpha_);
79 const Quantum black_,const Quantum alpha_);
126 void quantumAlpha(const Quantum alpha_);
201 const double black_,const double alpha_);
210 void alpha(const double alpha_);
360 const double alpha_);
369 void alpha(const double alpha_);
  /external/opencv3/3rdparty/libwebp/enc/
histogram.c 28 memset(p->alpha_, 0, sizeof(p->alpha_));
85 ++histo->alpha_[PixOrCopyLiteral(v, 3)];
207 + PopulationCost(p->alpha_, 256)
217 + BitsEntropy(p->alpha_, 256)
239 out->alpha_[i] += in->alpha_[i];
286 for (i = 0; i < 256; ++i) out->alpha_[i] = a->alpha_[i] + b->alpha_[i]
    [all...]
analysis.c 73 // set segment susceptibility alpha_ / beta_
97 enc->dqm_[n].alpha_ = clip(alpha, -127, 127);
210 const int alpha = mb->alpha_;
212 mb->alpha_ = centers[map[alpha]]; // for the record.
228 // Number of modes to inspect for alpha_ evaluation. For high-quality settings
354 it->mb_->alpha_ = best_alpha; // for later remapping.
366 mb->alpha_ = 0;
385 enc->dqm_[0].alpha_ = 0;
387 // Note: we can't compute this alpha_ / uv_alpha_.
397 enc->alpha_ = 0
    [all...]
histogram.h 38 int alpha_[256]; member in struct:__anon20451
  /external/opencv3/modules/cudaoptflow/src/
brox.cpp 61 alpha_(alpha), gamma_(gamma), scale_factor_(scale_factor),
69 virtual double getFlowSmoothness() const { return alpha_; }
70 virtual void setFlowSmoothness(double alpha) { alpha_ = static_cast<float>(alpha); }
92 float alpha_;
142 desc.alpha = alpha_;
  /external/ceres-solver/internal/ceres/
suitesparse.h 129 double alpha_[2] = {alpha, 0}; local
131 cholmod_sdmult(A, 0, alpha_, beta_, x, y, &cc_);
dogleg_strategy.h 126 double alpha_; member in class:ceres::internal::DoglegStrategy
  /external/ImageMagick/Magick++/lib/
Color.cpp 95 const Quantum blue_, const Quantum alpha_)
103 quantumAlpha(alpha_);
108 if (alpha_ != OpaqueAlpha)
113 const Quantum yellow_,const Quantum black_,const Quantum alpha_)
121 quantumAlpha(alpha_);
126 if (alpha_ != OpaqueAlpha)
307 void Magick::Color::quantumAlpha(const Magick::Quantum alpha_)
309 _pixel->alpha=alpha_;
310 if (alpha_ == QuantumRange)
458 const double yellow_,const double black_,const double alpha_)
    [all...]
  /external/webp/src/enc/
histogram.h 37 uint32_t alpha_[NUM_LITERAL_CODES]; member in struct:__anon26152
  /external/webp/src/dsp/
lossless_enc_mips32.c 348 ADD_VECTOR(a->alpha_, b->alpha_, out->alpha_, NUM_LITERAL_CODES, 0);
355 ADD_VECTOR_EQ(a->alpha_, out->alpha_, NUM_LITERAL_CODES, 0);

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