# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-06-16 16:57+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/tensor/linalg.rst:2
msgid "Linear Algebra"
msgstr "线性代数"

#: ../../source/reference/tensor/linalg.rst:5
msgid "Matrix and vector products"
msgstr "矩阵和向量乘法"

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid ":obj:`mars.tensor.dot <mars.tensor.dot>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid "Dot product of two arrays."
msgstr "计算两个数组的点积"

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid ":obj:`mars.tensor.vdot <mars.tensor.vdot>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid "Return the dot product of two vectors."
msgstr "计算两个向量的点积"

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid ":obj:`mars.tensor.inner <mars.tensor.inner>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid "Returns the inner product of a and b for arrays of floating point types."
msgstr "对两个数组计算内积"

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid ":obj:`mars.tensor.matmul <mars.tensor.matmul>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid "Matrix product of two tensors."
msgstr "计算两个张量的乘法"

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid ":obj:`mars.tensor.tensordot <mars.tensor.tensordot>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:16:<autosummary>:1
msgid "Compute tensor dot product along specified axes for tensors >= 1-D."
msgstr "沿指定的坐标计算张量点乘"

#: ../../source/reference/tensor/linalg.rst:18
msgid "Decompositions"
msgstr "矩阵分解"

#: ../../source/reference/tensor/linalg.rst:28:<autosummary>:1
msgid ":obj:`mars.tensor.linalg.cholesky <mars.tensor.linalg.cholesky>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:28:<autosummary>:1
msgid "Cholesky decomposition."
msgstr "Cholesky 分解"

#: ../../source/reference/tensor/linalg.rst:28:<autosummary>:1
msgid ":obj:`mars.tensor.linalg.qr <mars.tensor.linalg.qr>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:28:<autosummary>:1
msgid "Compute the qr factorization of a matrix."
msgstr "计算矩阵的 QR 分解"

#: ../../source/reference/tensor/linalg.rst:28:<autosummary>:1
msgid ":obj:`mars.tensor.linalg.svd <mars.tensor.linalg.svd>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:28:<autosummary>:1
msgid "Singular Value Decomposition."
msgstr "奇异值分解（SVD）"

#: ../../source/reference/tensor/linalg.rst:30
msgid "Norms and other numbers"
msgstr "范数和其他数值"

#: ../../source/reference/tensor/linalg.rst:38:<autosummary>:1
msgid ":obj:`mars.tensor.linalg.norm <mars.tensor.linalg.norm>`"
msgstr ""

#: ../../source/reference/tensor/linalg.rst:38:<autosummary>:1
msgid "Matrix or vector norm."
msgstr "计算矩阵或向量的范数"

