Units
Translation components API.
See the Weblate's Web API documentation for detailed description of the API.
GET /api/translations/packages-i18n/s-master/en/units/?format=api&page=2
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A MATLAB interface is provided.\n\nCAMD is part of the SuiteSparse sparse matrix suite." ], "id_hash": 7358933896548964998, "content_hash": 7358933896548964998, "location": "", "context": "", "note": "leap/suitesparse/libcamd2/description", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 174, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 44, "source_unit": "https://l10n.opensuse.org/api/units/12613918/?format=api", "priority": 100, "id": 12613918, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=e6202f63bd61da86", "url": "https://l10n.opensuse.org/api/units/12613918/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "Constrained Column Approximate Minimum Degree" ], "previous_source": "", "target": [ "Constrained Column Approximate Minimum Degree" ], "id_hash": -7146725193182457366, "content_hash": -7146725193182457366, "location": "", "context": "", "note": "leap/suitesparse/libccolamd2/summary", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 175, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 5, "source_unit": "https://l10n.opensuse.org/api/units/12613919/?format=api", "priority": 100, "id": 12613919, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=1cd1bb4d410651ea", "url": "https://l10n.opensuse.org/api/units/12613919/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "CCOLAMD computes an column approximate minimum degree ordering algorithm, (like COLAMD), but it can also be given a set of ordering constraints. CCOLAMD is required by the CHOLMOD package.\n\nCCOLAMD is part of the SuiteSparse sparse matrix suite." ], "previous_source": "", "target": [ "CCOLAMD computes an column approximate minimum degree ordering algorithm, (like COLAMD), but it can also be given a set of ordering constraints. CCOLAMD is required by the CHOLMOD package.\n\nCCOLAMD is part of the SuiteSparse sparse matrix suite." ], "id_hash": 1336100314644739030, "content_hash": 1336100314644739030, "location": "", "context": "", "note": "leap/suitesparse/libccolamd2/description", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 176, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 38, "source_unit": "https://l10n.opensuse.org/api/units/12613920/?format=api", "priority": 100, "id": 12613920, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=928ac8283eaff3d6", "url": "https://l10n.opensuse.org/api/units/12613920/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "Supernodal Sparse Cholesky Factorization and Update/Downdate" ], "previous_source": "", "target": [ "Supernodal Sparse Cholesky Factorization and Update/Downdate" ], "id_hash": -7400782391693384562, "content_hash": -7400782391693384562, "location": "", "context": "", "note": "leap/suitesparse/libcholmod3/summary", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 177, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 6, "source_unit": "https://l10n.opensuse.org/api/units/12613921/?format=api", "priority": 100, "id": 12613921, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=194b23a03326648e", "url": "https://l10n.opensuse.org/api/units/12613921/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "CHOLMOD is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. A MATLAB interface is provided.\n\nThe performance of CHOLMOD was compared with 10 other codes in a paper by Nick Gould, Yifan Hu, and Jennifer Scott. see also their raw data. Comparing BCSLIB-EXT, CHOLMOD, MA57, MUMPS, Oblio, PARDISO, SPOOLES, SPRSBLKLLT, TAUCS, UMFPACK, and WSMP, on 87 large symmetric positive definite matrices, they found CHOLMOD to be fastest for 42 of the 87 matrices. Its run time is either fastest or within 10% of the fastest for 73 out of 87 matrices. Considering just the larger matrices, it is either the fastest or within 10% of the fastest for 40 out of 42 matrices. It uses the least amount of memory (or within 10% of the least) for 35 of the 42 larger matrices. Jennifer Scott and Yifan Hu also discuss the design considerations for a sparse direct code.\n\nCHOLMOD is part of the SuiteSparse sparse matrix suite." ], "previous_source": "", "target": [ "CHOLMOD is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. A MATLAB interface is provided.\n\nThe performance of CHOLMOD was compared with 10 other codes in a paper by Nick Gould, Yifan Hu, and Jennifer Scott. see also their raw data. Comparing BCSLIB-EXT, CHOLMOD, MA57, MUMPS, Oblio, PARDISO, SPOOLES, SPRSBLKLLT, TAUCS, UMFPACK, and WSMP, on 87 large symmetric positive definite matrices, they found CHOLMOD to be fastest for 42 of the 87 matrices. Its run time is either fastest or within 10% of the fastest for 73 out of 87 matrices. Considering just the larger matrices, it is either the fastest or within 10% of the fastest for 40 out of 42 matrices. It uses the least amount of memory (or within 10% of the least) for 35 of the 42 larger matrices. Jennifer Scott and Yifan Hu also discuss the design considerations for a sparse direct code.\n\nCHOLMOD is part of the SuiteSparse sparse matrix suite." ], "id_hash": 8010239763846870626, "content_hash": 8010239763846870626, "location": "", "context": "", "note": "leap/suitesparse/libcholmod3/description", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 178, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 161, "source_unit": "https://l10n.opensuse.org/api/units/12613922/?format=api", "priority": 100, "id": 12613922, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=ef2a16a009cd3662", "url": "https://l10n.opensuse.org/api/units/12613922/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "SBLIM CMPI Provider Development Support" ], "previous_source": "", "target": [ "SBLIM CMPI Provider Development Support" ], "id_hash": 9130864318990211628, "content_hash": 9130864318990211628, "location": "", "context": "", "note": "leap/sblim-cmpi-devel/libcmpiCppImpl0/summary\nleap/sblim-cmpi-devel/sblim-cmpi-c++-devel/summary\nleap/sblim-cmpi-devel/summary", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 182, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 5, "source_unit": "https://l10n.opensuse.org/api/units/12613923/?format=api", "priority": 100, "id": 12613923, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=feb758b881b35a2c", "url": "https://l10n.opensuse.org/api/units/12613923/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "This packages provides the C and C++ CMPI header files needed by provider developers and can be used standalone. If used for C++ provider development it is also necessary to have tog-pegasus-devel installed." ], "previous_source": "", "target": [ "This packages provides the C and C++ CMPI header files needed by provider developers and can be used standalone. If used for C++ provider development it is also necessary to have tog-pegasus-devel installed." ], "id_hash": 177371851165170020, "content_hash": 177371851165170020, "location": "", "context": "", "note": "leap/sblim-cmpi-devel/libcmpiCppImpl0/description\nleap/sblim-cmpi-devel/sblim-cmpi-c++-devel/description\nleap/sblim-cmpi-devel/description", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 183, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 33, "source_unit": "https://l10n.opensuse.org/api/units/12613924/?format=api", "priority": 100, "id": 12613924, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=827626c245da7964", "url": "https://l10n.opensuse.org/api/units/12613924/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "Column Approximate Minimum Degree" ], "previous_source": "", "target": [ "Column Approximate Minimum Degree" ], "id_hash": -6785501228582552695, "content_hash": -6785501228582552695, "location": "", "context": "", "note": "leap/suitesparse/libcolamd2/summary", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 185, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 4, "source_unit": "https://l10n.opensuse.org/api/units/12613925/?format=api", "priority": 100, "id": 12613925, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=21d50e956f5c3b89", "url": "https://l10n.opensuse.org/api/units/12613925/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "The COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd.\n\nCOLAMD is part of the SuiteSparse sparse matrix suite." ], "previous_source": "", "target": [ "The COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd.\n\nCOLAMD is part of the SuiteSparse sparse matrix suite." ], "id_hash": 5980949468987565617, "content_hash": 5980949468987565617, "location": "", "context": "", "note": "leap/suitesparse/libcolamd2/description", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 186, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 114, "source_unit": "https://l10n.opensuse.org/api/units/12613926/?format=api", "priority": 100, "id": 12613926, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=d30099da8690a631", "url": "https://l10n.opensuse.org/api/units/12613926/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "Instructional Sparse Matrix Package" ], "previous_source": "", "target": [ "Instructional Sparse Matrix Package" ], "id_hash": 8728296082477689422, "content_hash": 8728296082477689422, "location": "", "context": "", "note": "leap/suitesparse/libcsparse3/summary", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 187, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 4, "source_unit": "https://l10n.opensuse.org/api/units/12613927/?format=api", "priority": 100, "id": 12613927, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=f921230ae2842a4e", "url": "https://l10n.opensuse.org/api/units/12613927/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "CSparse is a small yet feature-rich sparse matrix package written specifically for a book. The purpose of the package is to demonstrate a wide range of sparse matrix algorithms in as concise a code as possible. CSparse is about 2,200 lines long (excluding its MATLAB interface, demo codes, and test codes), yet it contains algorithms (either asympotical optimal or fast in practice) for all of the following functions described below. A MATLAB interface is included.\n\nNote that the LU and Cholesky factorization algorithms are not as fast as UMFPACK or CHOLMOD. Other functions have comparable performance as their MATLAB equivalents (some are faster).\n\nDocumentation is very terse in the code; it is fully documented in the book. Some indication of how to call the C functions in CSparse is given by the CSparse/MATLAB/*.m help files.\n\nCSparse is part of the SuiteSparse sparse matrix suite." ], "previous_source": "", "target": [ "CSparse is a small yet feature-rich sparse matrix package written specifically for a book. The purpose of the package is to demonstrate a wide range of sparse matrix algorithms in as concise a code as possible. CSparse is about 2,200 lines long (excluding its MATLAB interface, demo codes, and test codes), yet it contains algorithms (either asympotical optimal or fast in practice) for all of the following functions described below. A MATLAB interface is included.\n\nNote that the LU and Cholesky factorization algorithms are not as fast as UMFPACK or CHOLMOD. Other functions have comparable performance as their MATLAB equivalents (some are faster).\n\nDocumentation is very terse in the code; it is fully documented in the book. Some indication of how to call the C functions in CSparse is given by the CSparse/MATLAB/*.m help files.\n\nCSparse is part of the SuiteSparse sparse matrix suite." ], "id_hash": -4113411701419071382, "content_hash": -4113411701419071382, "location": "", "context": "", "note": "leap/suitesparse/libcsparse3/description", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 188, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 144, "source_unit": "https://l10n.opensuse.org/api/units/12613928/?format=api", "priority": 100, "id": 12613928, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=46ea39d9f1fb286a", "url": "https://l10n.opensuse.org/api/units/12613928/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:47Z" }, { "translation": "https://l10n.opensuse.org/api/translations/packages-i18n/s-master/en/?format=api", "source": [ "An extended version of CSparse" ], "previous_source": "", "target": [ "An extended version of CSparse" ], "id_hash": 142726643432914253, "content_hash": 142726643432914253, "location": "", "context": "", "note": "leap/suitesparse/libcxsparse3/summary", "flags": "", "labels": [], "state": 100, "fuzzy": false, "translated": true, "approved": false, "position": 189, "has_suggestion": false, "has_comment": false, "has_failing_check": false, "num_words": 5, "source_unit": "https://l10n.opensuse.org/api/units/12613929/?format=api", "priority": 100, "id": 12613929, "web_url": "https://l10n.opensuse.org/translate/packages-i18n/s-master/en/?checksum=81fb112041cd7d4d", "url": "https://l10n.opensuse.org/api/units/12613929/?format=api", "explanation": "", "extra_flags": "", "pending": false, "timestamp": "2016-12-01T15:50:48Z" } ] }