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  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/linear/
LinearOptimizer.java 29 * maximize or minimize} an objective function. In the linear case the form of
79 * or {@link GoalType#MINIMIZE}
AbstractLinearOptimizer.java 53 * Type of optimization goal: either {@link GoalType#MAXIMIZE} or {@link GoalType#MINIMIZE}.
  /external/eigen/unsupported/Eigen/
NonLinearOptimization 96 * As an example, the method LevenbergMarquardt::minimize() is
99 * Status LevenbergMarquardt<FunctorType,Scalar>::minimize(FVectorType &x, const int mode)
  /external/libhevc/common/
ihevc_chroma_iquant_itrans_recon.c 166 /* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
220 /* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
ihevc_chroma_itrans_recon.c 142 /* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
176 /* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
  /external/neven/Embedded/common/src/b_ImageEm/
Functions.h 45 /** Warps an image with intermediate pyramidal downscaling if possible in order to minimize aliasing
66 /** Warps an image with intermediate pyramidal downscaling if possible in order to minimize aliasing
  /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/
mnist_graph_test.py 69 generator_train = generator_optimizer.minimize(
72 discriminator_train = discriminator_optimizer.minimize(
  /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
resnet50_graph_test.py 85 train_op = optimizer.minimize(loss)
148 train_op = optimizer.minimize(loss)
  /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/
hybrid_model.py 107 return self.optimizer.minimize(self.training_loss(data, labels))
110 """The loss to minimize while training."""
  /external/tensorflow/tensorflow/contrib/tpu/python/tpu/
tpu_optimizer.py 64 loss: A Tensor containing the value to minimize.
65 var_list: Optional list or tuple of `tf.Variable` to update to minimize
  /external/tensorflow/tensorflow/examples/tutorials/mnist/
mnist.py 123 # Use the optimizer to apply the gradients that minimize the loss
125 train_op = optimizer.minimize(loss, global_step=global_step)
  /external/walt/pywalt/pywalt/
minimization.py 77 def minimize(fname_evtest, fname_laser): function
142 minimize(fname_evtest, fname_laser)
  /external/eigen/unsupported/test/
NonLinearOptimization.cpp 208 info = lm.minimize(x);
600 info = lm.minimize(x);
685 info = lm.minimize(x);
706 info = lm.minimize(x);
765 info = lm.minimize(x);
782 info = lm.minimize(x);
855 info = lm.minimize(x);
877 info = lm.minimize(x);
941 info = lm.minimize(x);
958 info = lm.minimize(x)
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  /dalvik/dx/src/com/android/dx/ssa/back/
SsaToRop.java 51 * {@code true} if the converter should attempt to minimize
64 * attempt to minimize the rop-form register count
77 * attempt to minimize the rop-form register count
  /external/protobuf/src/google/protobuf/io/
zero_copy_stream.h 41 // try to minimize the amount of data copying that needs to be done.
122 // Abstract interface similar to an input stream but designed to minimize
179 // Abstract interface similar to an output stream but designed to minimize
  /external/tensorflow/tensorflow/contrib/eager/python/
saver_test.py 207 optimizer.minimize(loss_fn)
211 optimizer.minimize(loss_fn)
216 optimizer.minimize(loss_fn)
  /external/tensorflow/tensorflow/python/training/
adagrad_test.py 82 sgd_op = adagrad.AdagradOptimizer(1.0).minimize(loss)
190 2.0).minimize(loss_repeated)
192 2.0).minimize(loss_aggregated)
  /prebuilts/misc/darwin-x86_64/protobuf2.5/include/google/protobuf/io/
zero_copy_stream.h 41 // try to minimize the amount of data copying that needs to be done.
122 // Abstract interface similar to an input stream but designed to minimize
179 // Abstract interface similar to an output stream but designed to minimize
  /prebuilts/misc/linux-x86_64/protobuf2.5/include/google/protobuf/io/
zero_copy_stream.h 41 // try to minimize the amount of data copying that needs to be done.
122 // Abstract interface similar to an input stream but designed to minimize
179 // Abstract interface similar to an output stream but designed to minimize
  /prebuilts/misc/windows/protobuf2.5/include/google/protobuf/io/
zero_copy_stream.h 41 // try to minimize the amount of data copying that needs to be done.
122 // Abstract interface similar to an input stream but designed to minimize
179 // Abstract interface similar to an output stream but designed to minimize
  /prebuilts/tools/darwin-x86_64/protoc/include/google/protobuf/io/
zero_copy_stream.h 41 // try to minimize the amount of data copying that needs to be done.
122 // Abstract interface similar to an input stream but designed to minimize
179 // Abstract interface similar to an output stream but designed to minimize
  /prebuilts/tools/linux-x86_64/protoc/include/google/protobuf/io/
zero_copy_stream.h 41 // try to minimize the amount of data copying that needs to be done.
122 // Abstract interface similar to an input stream but designed to minimize
179 // Abstract interface similar to an output stream but designed to minimize
  /bionic/libm/upstream-freebsd/lib/msun/src/
k_exp.c 53 * minimize |exp(kln2) - 2**k|. We also scale the exponent of
  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/
DifferentiableMultivariateVectorialOptimizer.java 27 * maximize or minimize} an objective function.</p>
  /external/autotest/client/bin/
prespawner.py 7 A library to prespawn autotest processes to minimize startup overhead.

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