
Let <em>M</em> be a fixed finite monoid. We consider the problem of implementing a data type containing a vector x=(x_1, x_2, ..., x_n) in M^n, initially (1, 1, ..., 1) with two kinds of operations, for each i in {1, ..., n}, a in M, an operation <code>change</code>_{i,a} which changes x_i to a and a single operation <code> product</code> returning ½_{i=1}^j x_i. This is the dynamic <em>word</em> problem. If we in addition for each j in {1, ..., n} have an operation <code>prefix_j</code> returning ½_{i=1}^j x_i, we talk about the dynamic <em>prefix</em> problem. We analyze the complexity of these problems in the <em>cell probe</em> or <em>decision assignment tree</em> model for two natural cell sizes, 1 bit and log n bits. We obtain a classification of the complexity based on algebraic properties of <em>M</em>. f
decision assignment tree, Analysis of algorithms and problem complexity, cell probe, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.)
decision assignment tree, Analysis of algorithms and problem complexity, cell probe, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
