| /external/conscrypt/openjdk-integ-tests/src/test/resources/crypto/ |
| aes-cfb8.csv | 24 # and unconditional right to print, publish, prepare derivative works and
28 # You may improve, modify, and create derivative works of the data or any
[all...] |
| aes-ecb.csv | 24 # and unconditional right to print, publish, prepare derivative works and
28 # You may improve, modify, and create derivative works of the data or any
[all...] |
| /external/mdnsresponder/mDNSCore/ |
| DNSDigest.c | 160 * 4. If you include any Windows specific code (or a derivative thereof) from
177 * derivative of this code cannot be changed. i.e. this code cannot simply be
[all...] |
| /external/mesa3d/src/compiler/glsl/ |
| ir.h | [all...] |
| /external/python/cpython2/Modules/ |
| audioop.c | 667 /* Derivative changed sign. Compute difference to last
718 /* Derivative changed sign. Compute difference to
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| /external/python/cpython3/Modules/ |
| audioop.c | 784 /* Derivative changed sign. Compute difference to last
840 /* Derivative changed sign. Compute difference to
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| /external/syslinux/bios/txt/html/ |
| pxelinux.html | 740 The Syslinux derivative PXELINUX for PXE network booting
757 <div class="paragraph"><p><strong>PXELINUX</strong> is a Syslinux derivative, for booting Linux off a network
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| isolinux.html | 740 The Syslinux derivative ISOLINUX for ISO9660 CD/DVD media
|
| /external/syslinux/efi32/txt/html/ |
| pxelinux.html | 740 The Syslinux derivative PXELINUX for PXE network booting
757 <div class="paragraph"><p><strong>PXELINUX</strong> is a Syslinux derivative, for booting Linux off a network
[all...] |
| isolinux.html | 740 The Syslinux derivative ISOLINUX for ISO9660 CD/DVD media
|
| /external/syslinux/efi64/txt/html/ |
| pxelinux.html | 740 The Syslinux derivative PXELINUX for PXE network booting
757 <div class="paragraph"><p><strong>PXELINUX</strong> is a Syslinux derivative, for booting Linux off a network
[all...] |
| isolinux.html | 740 The Syslinux derivative ISOLINUX for ISO9660 CD/DVD media
|
| /frameworks/native/vulkan/doc/implementors_guide/ |
| implementors_guide.html | 762 <div class="paragraph"><p>The Vulkan <span class="monospaced">hw_module_t</span> derivative is currently trivial. If support for multiple drivers is ever added, the HAL module will export a list of strings that can be passed to the module <span class="monospaced">open</span> call. For the time being, only one driver is supported, and the constant string <span class="monospaced">HWVULKAN_DEVICE_0</span> is passed to <span class="monospaced">open</span>.</p></div>
763 <div class="paragraph"><p>The Vulkan <span class="monospaced">hw_device_t</span> derivative corresponds to a single driver, though that driver can support multiple Vulkan physical devices. The <span class="monospaced">hw_device_t</span> structure contains a function pointer for the <span class="monospaced">vkGetInstanceProcAddr</span> function. The loader finds all other driver Vulkan functions by calling that <span class="monospaced">vkGetInstanceProcAddr</span> function.</p></div>
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/estimation/ |
| LevenbergMarquardtEstimator.java | 383 // and the scaled directional derivative
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/ |
| LevenbergMarquardtOptimizer.java | 386 // and the scaled directional derivative
[all...] |
| /external/deqp/external/vulkancts/modules/vulkan/texture/ |
| vktTextureFilteringExplicitLodTests.cpp | [all...] |
| /external/freetype/include/freetype/internal/ |
| tttypes.h | [all...] |
| /external/javassist/ |
| License.html | 235 <P><B>6.3. Derivative Works</B>. <BR>If You create or use a modified version
|
| /external/mesa3d/src/compiler/nir/ |
| nir_opcodes.py | 209 unop("fddx", tfloat, "0.0") # the derivative of a constant is 0.
|
| /external/skia/src/gpu/ |
| GrDistanceFieldGenFromVector.cpp | 158 // Canonical space is y = x^2 and the derivative of x^2 is 2x.
|
| /external/skia/src/pathops/ |
| SkPathOpsCubic.cpp | 498 // OPTIMIZE? compute t^2, t(1-t), and (1-t)^2 and pass them to another version of derivative at t?
|
| /external/skqp/src/gpu/ |
| GrDistanceFieldGenFromVector.cpp | 158 // Canonical space is y = x^2 and the derivative of x^2 is 2x.
|
| /external/skqp/src/pathops/ |
| SkPathOpsCubic.cpp | 498 // OPTIMIZE? compute t^2, t(1-t), and (1-t)^2 and pass them to another version of derivative at t?
|
| /external/syslinux/gpxe/src/drivers/net/ |
| 3c90x.c | 20 * and this text are included with all source copies or derivative works, and
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
| csiszar_divergence_test.py | 980 # correctness of the zero-th order derivative (for each batch member).
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