[PDF][PDF] Asymptotic spectra: Theory, applications and extensions
A Wigderson, J Zuiddam - Manuscript, 2022 - math.ias.edu
In 1969, Strassen shocked the computational world with his subcubic algorithm for
multiplying matrices. Attempting to understand the best possible algorithm for this problem …
multiplying matrices. Attempting to understand the best possible algorithm for this problem …
Subrank and optimal reduction of scalar multiplications to generic tensors
The subrank of a tensor measures how much a tensor can be diagonalized. We determine
this parameter precisely for essentially all (ie, generic) tensors. Namely, we prove for generic …
this parameter precisely for essentially all (ie, generic) tensors. Namely, we prove for generic …
[PDF][PDF] Reusing Space: Techniques and Open Problems
I Mertz - Bulletin of EATCS, 2023 - smtp.eatcs.org
In the world of space-bounded complexity, there is a strain of results showing that space
can, somewhat paradoxically, be used for multiple purposes at once. Touchstone results …
can, somewhat paradoxically, be used for multiple purposes at once. Touchstone results …
[PDF][PDF] Tree Evaluation Is in Space 𝑂 (log 𝑛· log log 𝑛)
The Tree Evaluation Problem (TreeEval)(Cook et al. 2009) is a central candidate for
separating polynomial time (P) from logarithmic space (L) via composition. While space …
separating polynomial time (P) from logarithmic space (L) via composition. While space …
Trading time and space in catalytic branching programs
An m-catalytic branching program (Girard, Koucký, McKenzie 2015) is a set of m distinct
branching programs for f which are permitted to share internal (ie non-source non-sink) …
branching programs for f which are permitted to share internal (ie non-source non-sink) …
The asymptotic spectrum distance, graph limits, and the Shannon capacity
Determining the Shannon capacity of graphs is a long-standing open problem in information
theory, graph theory and combinatorial optimization. Over decades, a wide range of upper …
theory, graph theory and combinatorial optimization. Over decades, a wide range of upper …
Fully Characterizing Lossy Catalytic Computation
A catalytic machine is a model of computation where a traditional space-bounded machine
is augmented with an additional, significantly larger," catalytic" tape, which, while being …
is augmented with an additional, significantly larger," catalytic" tape, which, while being …
On the asymptotic nonnegative rank of matrices and its applications in information theory
In this paper, we study the asymptotic nonnegative rank of matrices, which characterizes the
asymptotic growth of the nonnegative rank of fixed nonnegative matrices under the …
asymptotic growth of the nonnegative rank of fixed nonnegative matrices under the …
[PDF][PDF] Tree Evaluation is in Space O (log n· log log n).
Abstract The Tree Evaluation Problem (TreeEval)(Cook et al. 2009) is a central candidate for
separating polynomial time (P) from logarithmic space (L) via composition. While space …
separating polynomial time (P) from logarithmic space (L) via composition. While space …
Catalytic Branching Programs from Groups and General Protocols
H Côté, P McKenzie - ACM Transactions on Computation Theory, 2023 - dl.acm.org
CCCatalytic branching programs (catalytic bps) compute the same n-bit Boolean function f at
multiple entry points that need to be remembered at the exit nodes of the branching program …
multiple entry points that need to be remembered at the exit nodes of the branching program …