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On the time and space complexity of computation using write-once memory or is pen really much worse than pencil?
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-08353-7_135openalex-snapshot
Graph-theoretic arguments in low-level complexity
inferredcites →https://doi.org/10.1007/3-540-10003-2_89openalex-snapshot
Pebbling mountain ranges and its application to DCFL-recognition
inferredcites →https://doi.org/10.1007/3-540-13345-3_46openalex-snapshot
Computational complexity of an optical disk interface
inferredcites →https://doi.org/10.1007/bf01683268openalex-snapshot
Design and implementation of an efficient priority queue
inferredcites →https://doi.org/10.1016/s0019-9958(82)90344-8openalex-snapshot
How to reuse a “write-once≓ memory
inferredcites →https://doi.org/10.1109/sfcs.1987.31openalex-snapshot
Hierarchical memory with block transfer
inferredcites →https://doi.org/10.1137/0209046openalex-snapshot
Applications of a Planar Separator Theorem
inferredcites →https://doi.org/10.1137/0211022openalex-snapshot
A Time-Space Tradeoff for Sorting on a General Sequential Model of Computation
inferredcites →https://doi.org/10.1137/1.9781611970265openalex-snapshot
Data Structures and Network Algorithms
inferredcites →https://doi.org/10.1145/12130.12142openalex-snapshot
Making data structures persistent
inferredcites →https://doi.org/10.1145/321812.321815openalex-snapshot
The Parallel Evaluation of General Arithmetic Expressions
inferredcites →https://doi.org/10.1145/3857.3862openalex-snapshot
An efficient I/O interface for optical disks
inferredcites →https://doi.org/10.1145/44546.44559openalex-snapshot
Are applicative languages inefficient?
inferredcites →https://doi.org/10.1145/6138.6151openalex-snapshot
Planar point location using persistent search trees
inferredcites →https://doi.org/10.1145/69558.69562openalex-snapshot
I-structures: data structures for parallel computing
inferredcites →https://doi.org/10.1145/800057.808685openalex-snapshot
Correcting faults in write-once memory
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-07959-2_14openalex-snapshot
Wear Minimization for Cuckoo Hashing: How Not to Throw a Lot of Eggs into One Basket
inferred← citeshttps://doi.org/10.1007/978-3-540-69407-6_38openalex-snapshot
Computability and Complexity in Self-assembly
inferred← citeshttps://doi.org/10.1007/978-3-540-73420-8_28openalex-snapshot
Deterministic History-Independent Strategies for Storing Information on Write-Once Memories
inferred← citeshttps://doi.org/10.1016/j.ipl.2020.106042openalex-snapshot
A competitive analysis for the Start-Gap algorithm for online memory wear leveling
inferred← citeshttps://doi.org/10.1093/logcom/exq002openalex-snapshot
Monotonicity Constraints in Characterizations of PSPACE
inferred← citeshttps://doi.org/10.1109/sp.2006.39openalex-snapshot
Tamper-evident, history-independent, subliminal-free data structures on PROM storage -or- how to store ballots on a voting machine
inferred← citeshttps://doi.org/10.1145/3651145openalex-snapshot
Streaming Algorithms with Few State Changes
inferred← citeshttps://doi.org/10.31274/etd-180810-905openalex-snapshot
Toward a molecular programming language for algorithmic self-assembly
inferred← citeshttps://doi.org/10.48550/arxiv.1407.7592openalex-snapshot
On multiply-exponential write-once Turing machines
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