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We show that for every homogeneous polynomial of degree $d$, if it has determinantal complexity at most $s$, then it can be computed by a homogeneous algebraic branching program (ABP) of size at most $O(d^5s)$. Moreover, we show that for…

Computational Complexity · Computer Science 2023-08-10 Abhranil Chatterjee , Mrinal Kumar , Ben Lee Volk

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…

Computational Complexity · Computer Science 2010-02-09 Maurice Jansen , Youming Qiao , Jayalal Sarma

VBP is the class of polynomial families that can be computed by the determinant of a symbolic matrix of the form $A_0 + \sum_{i=1}^n A_ix_i$ where the size of each $A_i$ is polynomial in the number of variables (equivalently, computable by…

Computational Complexity · Computer Science 2023-05-18 Abhranil Chatterjee , Sumanta Ghosh , Rohit Gurjar , Roshan Raj

Read-once Oblivious Algebraic Branching Programs (ROABPs) compute polynomials as products of univariate polynomials that have matrices as coefficients. In an attempt to understand the landscape of algebraic complexity classes surrounding…

Computational Complexity · Computer Science 2022-01-19 C. Ramya , Anamay Tengse

Nisan showed in 1991 that the width of a smallest noncommutative single-(source,sink) algebraic branching program (ABP) to compute a noncommutative polynomial is given by the ranks of specific matrices. This means that the set of…

Computational Complexity · Computer Science 2020-03-11 Markus Bläser , Christian Ikenmeyer , Meena Mahajan , Anurag Pandey , Nitin Saurabh

In this paper we study the computational complexity of computing the noncommutative determinant. We first consider the arithmetic circuit complexity of computing the noncommutative determinant polynomial. Then, more generally, we also…

Computational Complexity · Computer Science 2009-10-26 V. Arvind , Srikanth Srinivasan

In this paper, we study the structure of set-multilinear arithmetic circuits and set-multilinear branching programs with the aim of showing lower bound results. We define some natural restrictions of these models for which we are able to…

Computational Complexity · Computer Science 2015-11-10 V. Arvind , S. Raja

We investigate the closure properties of read-once oblivious Algebraic Branching Programs (roABPs) under various natural algebraic operations and prove the following. - Non-closure under factoring: There is a sequence of explicit…

Computational Complexity · Computer Science 2025-09-16 Jules Armand , Prateek Dwivedi , Magnus Rahbek Dalgaard Hansen , Nutan Limaye , Srikanth Srinivasan , Sébastien Tavenas

In this paper we study polynomial identity testing of sums of $k$ read-once algebraic branching programs ($\Sigma_k$-RO-ABPs), generalizing the work in (Shpilka and Volkovich 2008,2009), who considered sums of $k$ read-once formulas…

Computational Complexity · Computer Science 2009-12-15 Maurice Jansen , Youming Qiao , Jayalal Sarma

We introduce symmetric arithmetic circuits, i.e. arithmetic circuits with a natural symmetry restriction. In the context of circuits computing polynomials defined on a matrix of variables, such as the determinant or the permanent, the…

Computational Complexity · Computer Science 2024-01-22 Anuj Dawar , Gregory Wilsenach

In this paper, we study the complexity of computing the determinant of a matrix over a non-commutative algebra. In particular, we ask the question, "over which algebras, is the determinant easier to compute than the permanent?" Towards…

Computational Complexity · Computer Science 2018-10-09 Steve Chien , Prahladh Harsha , Alistair Sinclair , Srikanth Srinivasan

A read-once oblivious arithmetic branching program (ROABP) is an arithmetic branching program (ABP) where each variable occurs in at most one layer. We give the first polynomial time whitebox identity test for a polynomial computed by a sum…

Computational Complexity · Computer Science 2015-05-19 Rohit Gurjar , Arpita Korwar , Nitin Saxena , Thomas Thierauf

One of the most significant challenges in Computing Determinant of Rectangular Matrices is high time complexity of its algorithm. Among all definitions of determinant of rectangular matrices, used definition has special features which make…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-07 Neda Abdollahi , Mohammad Jafari , Morteza Bayat , Ali Amiri , Mahmood Fathy

The motivation for this paper is to study the complexity of constant-width arithmetic circuits. Our main results are the following. 1. For every k > 1, we provide an explicit polynomial that can be computed by a linear-sized monotone…

Computational Complexity · Computer Science 2009-08-14 V. Arvind , Pushkar S. Joglekar , Srikanth Srinivasan

We investigate the proof complexity of systems based on positive branching programs, i.e. non-deterministic branching programs (NBPs) where, for any 0-transition between two nodes, there is also a 1-transition. Positive NBPs compute…

Computational Complexity · Computer Science 2025-03-12 Anupam Das , Avgerinos Delkos

Algebraic Branching Programs(ABPs) are standard models for computing polynomials. Syntactic multilinear ABPs (smABPs) are restrictions of ABPs where every variable is allowed to occur at most once in every path from the start to the…

Computational Complexity · Computer Science 2018-04-25 C. Ramya , B. V. Raghavendra Rao

We deploy algebraic complexity theoretic techniques for constructing symmetric determinantal representations of for00504925mulas and weakly skew circuits. Our representations produce matrices of much smaller dimensions than those given in…

Computational Complexity · Computer Science 2012-10-24 Bruno Grenet , Erich Kaltofen , Pascal Koiran , Natacha Portier

The motivating question for this work is a long standing open problem, posed by Nisan (1991), regarding the relative powers of algebraic branching programs (ABPs) and formulas in the non-commutative setting. Even though the general question…

Computational Complexity · Computer Science 2021-03-02 Prerona Chatterjee

We investigate the complexity of explicit construction problems, where the goal is to produce a particular object of size $n$ possessing some pseudorandom property in time polynomial in $n$. We give overwhelming evidence that $\bf{APEPP}$,…

Computational Complexity · Computer Science 2022-02-14 Oliver Korten

Motivated by the recent developments on the complexity of non-com\-mu\-ta\-tive determinant and permanent [Chien et al.\ STOC 2011, Bl\"aser ICALP 2013, Gentry CCC 2014] we attempt at obtaining a tight characterization of hard instances of…

Computational Complexity · Computer Science 2015-08-11 Christian Engels , B. V. Raghavendra Rao
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