All reports by Author Amit Sinhababu:

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TR21-072
| 23rd May 2021
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Pranjal Dutta, Gorav Jindal, Anurag Pandey, Amit Sinhababu#### Arithmetic Circuit Complexity of Division and Truncation

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TR20-077
| 19th May 2020
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Amit Sinhababu, Thomas Thierauf#### Factorization of Polynomials Given by Arithmetic Branching Programs

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TR18-019
| 28th January 2018
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Zeyu Guo, Nitin Saxena, Amit Sinhababu#### Algebraic dependencies and PSPACE algorithms in approximative complexity

Revisions: 1

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TR17-153
| 9th October 2017
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Pranjal Dutta, Nitin Saxena, Amit Sinhababu#### Discovering the roots: Uniform closure results for algebraic classes under factoring

Pranjal Dutta, Gorav Jindal, Anurag Pandey, Amit Sinhababu

Given polynomials $f,g,h\,\in \mathbb{F}[x_1,\ldots,x_n]$ such that $f=g/h$, where both $g$ and $h$ are computable by arithmetic circuits of size $s$, we show that $f$ can be computed by a circuit of size $\poly(s,\deg(h))$. This solves a special case of division elimination for high-degree circuits (Kaltofen'87 \& WACT'16). The result ... more >>>

Amit Sinhababu, Thomas Thierauf

Given a multivariate polynomial computed by an arithmetic branching program (ABP) of size $s$, we show that all its factors can be computed by arithmetic branching programs of size $\text{poly}(s)$. Kaltofen gave a similar result for polynomials computed by arithmetic circuits. The previously known best upper bound for ABP-factors was ... more >>>

Zeyu Guo, Nitin Saxena, Amit Sinhababu

Testing whether a set $\mathbf{f}$ of polynomials has an algebraic dependence is a basic problem with several applications. The polynomials are given as algebraic circuits. Algebraic independence testing question is wide open over finite fields (Dvir, Gabizon, Wigderson, FOCS'07). The best complexity known is NP$^{\#\rm P}$ (Mittmann, Saxena, Scheiblechner, Trans.AMS'14). ... more >>>

Pranjal Dutta, Nitin Saxena, Amit Sinhababu

Newton iteration (NI) is an almost 350 years old recursive formula that approximates a simple root of a polynomial quite rapidly. We generalize it to a matrix recurrence (allRootsNI) that approximates all the roots simultaneously. In this form, the process yields a better circuit complexity in the case when the ... more >>>