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  /prebuilts/gcc/linux-x86/host/i686-linux-glibc2.7-4.6/sysroot/usr/include/linux/
video_decoder.h 11 #define VIDEO_DECODER_AUTO 8 /* can autosense norm */
  /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.7-4.6/sysroot/usr/include/linux/
video_decoder.h 11 #define VIDEO_DECODER_AUTO 8 /* can autosense norm */
  /external/ceres-solver/internal/ceres/
corrector_test.cc 206 ASSERT_NEAR((g_res - res).norm(), 0.0, 1e-10);
207 ASSERT_NEAR((g_jac - jac).norm(), 0.0, 1e-10);
209 ASSERT_NEAR((g_grad - c_grad).norm(), 0.0, 1e-10);
267 ASSERT_NEAR((g_res - res).norm(), 0.0, 1e-10);
268 ASSERT_NEAR((g_jac - jac).norm(), 0.0, 1e-10);
270 ASSERT_NEAR((g_grad - c_grad).norm(), 0.0, 1e-10);
271 ASSERT_NEAR((g_hess - c_hess).norm(), 0.0, 1e-10);
compressed_row_sparse_matrix_test.cc 62 EXPECT_EQ((y_a - y_b).norm(), 0);
103 EXPECT_EQ((b1 - b2).norm(), 0);
114 EXPECT_EQ((b1 - b2).norm(), 0);
156 EXPECT_EQ((tsm_dense - crsm_dense).norm(), 0.0);
217 EXPECT_EQ((dense.diagonal() - diagonal).norm(), 0.0);
325 EXPECT_NEAR((dense_matrix - dense_transpose.transpose()).norm(), 0.0, 1e-14);
dogleg_strategy_test.cc 148 EXPECT_LE(x_.norm(), options_.initial_radius * (1.0 + 4.0 * kEpsilon));
168 EXPECT_LE(x_.norm(), options_.initial_radius * (1.0 + 4.0 * kEpsilon));
213 EXPECT_NEAR(basis.col(0).norm(), 1.0, kTolerance);
214 EXPECT_NEAR(basis.col(1).norm(), 1.0, kTolerance);
219 EXPECT_NEAR((gradient - basis*(basis.transpose()*gradient)).norm(),
225 EXPECT_NEAR((gn - basis*(basis.transpose()*gn)).norm(),
  /external/eigen/doc/
C07_TutorialReductionsVisitorsBroadcasting.dox 41 \subsection TutorialReductionsVisitorsBroadcastingReductionsNorm Norm computations
43 The (Euclidean a.k.a. \f$\ell^2\f$) squared norm of a vector can be obtained \link MatrixBase::squaredNorm() squaredNorm() \endlink. It is equal to the dot product of the vector by itself, and equivalently to the sum of squared absolute values of its coefficients.
45 Eigen also provides the \link MatrixBase::norm() norm() \endlink method, which returns the square root of \link MatrixBase::squaredNorm() squaredNorm() \endlink.
47 These operations can also operate on matrices; in that case, a n-by-p matrix is seen as a vector of size (n*p), so for example the \link MatrixBase::norm() norm() \endlink method returns the "Frobenius" or "Hilbert-Schmidt" norm. We refrain from speaking of the \f$\ell^2\f$ norm of a matrix because that can mean different things.
49 If you want other \f$\ell^p\f$ norms, use the \link MatrixBase::lpNorm() lpNnorm<p>() \endlink method. The template parameter \a p can take the special value \a Infinity if you want the \f$\ell^\infty\f$ norm, which is the maximum of the absolute values of the coefficients.
258 - <tt>(m.colwise() - v).colwise().squaredNorm()</tt> is a partial reduction, computing the squared norm column-wise. The result o
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  /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/
tabnanny.py 143 # norm
151 # n.indent_level(t) for all t >= 1 iff m.norm == n.norm.
175 self.norm = tuple(count), b
181 count, trailing = self.norm
185 # count, il = self.norm
199 count, trailing = self.norm
208 return self.norm == other.norm
237 # Note that M is of the form (T*)(S*) iff len(M.norm[0]) <= 1
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  /prebuilts/python/linux-x86/2.7.5/lib/python2.7/
tabnanny.py 143 # norm
151 # n.indent_level(t) for all t >= 1 iff m.norm == n.norm.
175 self.norm = tuple(count), b
181 count, trailing = self.norm
185 # count, il = self.norm
199 count, trailing = self.norm
208 return self.norm == other.norm
237 # Note that M is of the form (T*)(S*) iff len(M.norm[0]) <= 1
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  /external/chromium_org/third_party/mesa/src/src/gallium/auxiliary/gallivm/
lp_bld_type.h 109 unsigned norm:1; member in struct:lp_type
271 res_type.norm = TRUE;
344 type.norm = FALSE;
360 type.norm = FALSE;
376 type.norm = TRUE;
  /external/mesa3d/src/gallium/auxiliary/gallivm/
lp_bld_type.h 109 unsigned norm:1; member in struct:lp_type
271 res_type.norm = TRUE;
344 type.norm = FALSE;
360 type.norm = FALSE;
376 type.norm = TRUE;
  /external/neven/Embedded/common/src/b_BasicEm/
Math.h 149 /** returns floating point squared norm of 32 bit vector (maximum accuracy - overflow-safe);
151 * returned square norm = man * 2^exp
156 /** returns floating point squared norm of 16 bit vector (maximum accuracy - overflow-safe);
157 * returned square norm = man * 2^exp
162 /** returns the norm of a 16 bit vector;
  /external/jmonkeyengine/engine/src/tools/jme3tools/optimize/
GeometryBatchFactory.java 46 Vector3f norm = new Vector3f(); local
53 norm.x = inBuf.get(i * 3 + 0);
54 norm.y = inBuf.get(i * 3 + 1);
55 norm.z = inBuf.get(i * 3 + 2);
57 transform.multNormal(norm, norm);
59 outBuf.put(offset + i * 3 + 0, norm.x);
60 outBuf.put(offset + i * 3 + 1, norm.y);
61 outBuf.put(offset + i * 3 + 2, norm.z);
  /frameworks/av/media/libstagefright/codecs/amrnb/enc/src/
autocorr.cpp 171 norm = normalized autocorrelation at lag zero of type Word16
207 Word16 i, j, norm;
252 norm = norm_l (sum);
253 sum = L_shl (sum, norm);
267 sum = L_shl (sum, norm);
271 norm = sub (norm, overfl_shft);
273 return norm;
311 register Word16 norm; local
414 norm = norm_l(sum)
416 sum <<= norm; local
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  /external/chromium_org/third_party/mesa/src/src/gallium/drivers/llvmpipe/
lp_test_conv.c 179 if ((src_type.floating && !dst_type.floating && dst_type.sign && dst_type.norm && src_type.width == dst_type.width) ||
188 if ((src_type.floating && !dst_type.floating && dst_type.sign && dst_type.norm && src_type.width == dst_type.width) ||
331 /* float, fixed, sign, norm, width, len */
427 } while (src_type == dst_type || src_type->norm != dst_type->norm);
440 /* float, fixed, sign, norm, width, len */
  /external/eigen/test/
sparse_solver.h 96 // Compute the norm of the relative error
98 res_error = (refX - x).norm()/refX.norm();
101 // Compute the relative residual norm
102 res_error = (b - A * x).norm()/b.norm();
geo_orthomethods.cpp 80 VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), RealScalar(1));
88 VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), RealScalar(1));
  /external/mesa3d/src/gallium/drivers/llvmpipe/
lp_test_conv.c 179 if ((src_type.floating && !dst_type.floating && dst_type.sign && dst_type.norm && src_type.width == dst_type.width) ||
188 if ((src_type.floating && !dst_type.floating && dst_type.sign && dst_type.norm && src_type.width == dst_type.width) ||
331 /* float, fixed, sign, norm, width, len */
427 } while (src_type == dst_type || src_type->norm != dst_type->norm);
440 /* float, fixed, sign, norm, width, len */
  /external/eigen/Eigen/src/Geometry/
EulerAngles.h 49 Scalar s = Vector2(coeff(j,i) , coeff(k,i)).norm();
64 Scalar c = Vector2(coeff(i,i) , coeff(i,j)).norm();
  /external/eigen/demos/opengl/
gpuhelper.cpp 60 float length = vec.norm();
81 float length = vec.norm();
  /external/eigen/test/eigen2/
eigen2_prec_inverse_4x4.cpp 42 double error = double( (m*inv-MatrixType::Identity()).norm() / epsilon<Scalar>() );
62 double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / epsilon<Scalar>() );
  /external/jmonkeyengine/engine/src/core/com/jme3/collision/
CollisionResult.java 74 public void setContactNormal(Vector3f norm){
75 this.contactNormal = norm;
  /external/jmonkeyengine/engine/src/core-effects/Common/MatDefs/SSAO/
ssao.frag 40 float doAmbientOcclusion(in vec2 tc, in vec3 pos, in vec3 norm){
45 return max(0.0, dot(norm, v) - m_Bias) * ( 1.0/(1.0 + d) ) * m_Intensity;
  /external/srec/srec/crec/
get_fram.c 438 void convert_adjustment_to_imelda(norm_info *norm, preprocessed *prep)
444 ASSERT(norm);
446 fram[ii] = (imeldata) norm->adjust[ii]; /* TODO: review types */
453 norm->imelda_adjust[ii] = fram[ii];
455 log_report("NORM AUX: ");
456 for (ii = 0; ii < norm->dim; ii++)
457 log_report("%d ", (int)norm->imelda_adjust[ii]);
460 norm->adj_valid = True;
  /external/opencv/cxcore/src/
cxutils.cpp 716 double norm = 0, v; local
728 norm += v*v;
730 norm = sqrt(norm);
736 norm += v;
742 norm = MAX(norm,v);
745 norm = norm > DBL_EPSILON ? 1./norm : 0.
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  /external/chromium_org/build/linux/unbundle/
README 16 libraries is the norm.

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