Babu et al., 2016 - Google Patents
Every property of outerplanar graphs is testableBabu et al., 2016
View PDF- Document ID
- 900784224721707512
- Author
- Babu J
- Khoury A
- Newman I
- Publication year
- Publication venue
- Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2016)
External Links
Snippet
A D-disc around a vertex v of a graph G=(V, E) is the subgraph induced by all vertices of distance at most D from v. We show that the structure of an outerplanar graph on n vertices is determined, up to modification (insertion or deletion) of at most epsilon n edges, by a set of …
- 238000003780 insertion 0 abstract description 2
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
- G06F17/30961—Trees
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
- G06F17/30958—Graphs; Linked lists
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
- G06F17/30589—Hierarchical databases, e.g. IMS, LDAP data stores, Lotus Notes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30613—Indexing
- G06F17/30619—Indexing indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jozsa | Quantum algorithms and the Fourier transform | |
Feldman et al. | Sample complexity bounds on differentially private learning via communication complexity | |
Chitnis et al. | Kernelization via sampling with applications to finding matchings and related problems in dynamic graph streams | |
Montanaro | Quantum walk speedup of backtracking algorithms | |
Jayaram et al. | Perfect l_p sampling in a data stream | |
McGregor et al. | Better algorithms for counting triangles in data streams | |
Gishboliner et al. | A generalized Turán problem and its applications | |
Ahn et al. | Graph sketches: sparsification, spanners, and subgraphs | |
Jha et al. | Testing and reconstruction of Lipschitz functions with applications to data privacy | |
Babu et al. | Every property of outerplanar graphs is testable | |
Cai et al. | # BIS-hardness for 2-spin systems on bipartite bounded degree graphs in the tree non-uniqueness region | |
Elek | Finite graphs and amenability | |
Loizou et al. | Accelerated gossip via stochastic heavy ball method | |
Henzinger et al. | Dynamic approximate maximum independent set of intervals, hypercubes and hyperrectangles | |
Anagnostopoulos et al. | Community detection on evolving graphs | |
Dominguez et al. | Mutual information for the sparse stochastic block model | |
Behnezhad et al. | Single-pass streaming algorithms for correlation clustering | |
Behnezhad et al. | Sublinear time algorithms and complexity of approximate maximum matching | |
Assadi et al. | Tight bounds on the round complexity of the distributed maximum coverage problem | |
Bshouty et al. | Learning DNF from random walks | |
Newman et al. | New sublinear algorithms and lower bounds for LIS estimation | |
Gao et al. | Deterministic graph cuts in subquadratic time: Sparse, balanced, and k-vertex | |
Chen et al. | Streaming euclidean mst to a constant factor | |
Bezáková et al. | Lower bounds for testing graphical models: Colorings and antiferromagnetic ising models | |
Demaine et al. | Structural sparsity of complex networks: Random graph models and linear algorithms |