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Electronic Colloquium on Computational Complexity
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REPORTS > AUTHORS > JAYALAL SARMA:
All reports by Author Jayalal Sarma:

TR10-084 | 14th May 2010
Maurice Jansen, Youming Qiao, Jayalal Sarma

Deterministic Identity Testing of Read-Once Algebraic Branching Programs

An algebraic branching program (ABP) is given by a directed acyclic graph with source and sink vertices $s$ and $t$, respectively, and where edges are labeled by variables or field constants. An ABP computes the sum of weights of all directed paths from $s$ to $t$, where the weight of ... more >>>


TR10-015 | 8th February 2010
Maurice Jansen, Youming Qiao, Jayalal Sarma

Deterministic Black-Box Identity Testing $\pi$-Ordered Algebraic Branching Programs

In this paper we study algebraic branching programs (ABPs) with restrictions on the order and the number of reads of variables in the program. Given a permutation $\pi$ of $n$ variables, for a $\pi$-ordered ABP ($\pi$-OABP), for any directed path $p$ from source to sink, a variable can appear at ... more >>>


TR09-106 | 28th October 2009
Abhinav Kumar, Satyanarayana V. Lokam, Vijay M. Patankar, Jayalal Sarma

Using Elimination Theory to construct Rigid Matrices

The rigidity of a matrix A for target rank r is the minimum number of entries
of A that must be changed to ensure that the rank of the altered matrix is at
most r. Since its introduction by Valiant (1977), rigidity and similar
rank-robustness functions of matrices have found ... more >>>


TR06-100 | 17th July 2006
Meena Mahajan, Jayalal Sarma

On the Complexity of Rank and Rigidity

Given a matrix $M$ over a ring \Ringk, a target rank $r$ and a bound
$k$, we want to decide whether the rank of $M$ can be brought down to
below $r$ by changing at most $k$ entries of $M$. This is a decision
version of the well-studied notion of ... more >>>


TR06-009 | 10th January 2006
Nutan Limaye, Meena Mahajan, Jayalal Sarma

Evaluating Monotone Circuits on Cylinders, Planes and Tori

We re-examine the complexity of evaluating monotone planar circuits
MPCVP, with special attention to circuits with cylindrical
embeddings. MPCVP is known to be in NC^3, and for the special
case of upward stratified circuits, it is known to be in
LogDCFL. We characterize cylindricality, which is ... more >>>




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