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Anil Seth

dblp:75/359 · DBLP profile ↗
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8ranked-venue papers
6as first author
0since 2021 · last 2010
0000-0003-0248-5470ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 7 · 5 first-authorSystems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
5 papers
Automata and formal languages · 50% Computational complexity · 25% Logic in computer science · 18%

Topics — the 14 heaviest of 14, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automata and formal languages › pushdown automata
multi-stack pushdown systems
0.112010
Global Reachability in Bounded Phase Multi-stack Pushdown Systems · CAV 2010
Automata and formal languages
pushdown automata
0.112010
Global Reachability in Bounded Phase Multi-stack Pushdown Systems · CAV 2010
Computational complexity
descriptive complexity
0.021998
Ordering Finite Variable Types with Generalized Quantifiers · LICS 1998
When Do Fixed Point Logics Capture Complexity Classes? · LICS 1995
Logic in computer science
finite model theory
0.021998
Ordering Finite Variable Types with Generalized Quantifiers · LICS 1998
When Do Fixed Point Logics Capture Complexity Classes? · LICS 1995
Automated reasoning and model checking
reachability
0.012010
Global Reachability in Bounded Phase Multi-stack Pushdown Systems · CAV 2010
Logic in computer science › model theory
generalized quantifiers
0.011998
Ordering Finite Variable Types with Generalized Quantifiers · LICS 1998
Computational complexity › implicit computational complexity
feasible functionals
0.021993
Some Desirable Conditions for Feasible Functionals of Type~2 · LICS 1993
There is No Recursive Axiomatization for Feasible Functionals of Type~2 · LICS 1992
Computational complexity › descriptive complexity
capture of complexity classes
0.011995
When Do Fixed Point Logics Capture Complexity Classes? · LICS 1995
Logic in computer science › finite model theory
fixed-point logic
0.011995
When Do Fixed Point Logics Capture Complexity Classes? · LICS 1995
Computational complexity › implicit computational complexity
basic feasible functionals
0.011993
Some Desirable Conditions for Feasible Functionals of Type~2 · LICS 1993
Computational complexity
complexity classes
0.011993
Some Desirable Conditions for Feasible Functionals of Type~2 · LICS 1993
Computational complexity › computability theory
elementary functions
0.011993
Some Desirable Conditions for Feasible Functionals of Type~2 · LICS 1993
Logic in computer science
lambda calculus
0.011992
There is No Recursive Axiomatization for Feasible Functionals of Type~2 · LICS 1992
Computational complexity › reduction
polynomial-time reduction
0.011992
There is No Recursive Axiomatization for Feasible Functionals of Type~2 · LICS 1992

Methods — techniques the papers use, named apart from their topics

generalized quantifiers · 0.0fixed-point logic · 0.0partial fixed point logic · 0.0least fixed point logic · 0.0well quasi-order functional · 0.0ritchie-cobham property · 0.0limited recursion on notation · 0.0recursive axiomatization · 0.0cook's conditions · 0.0
YearPublicationVenuePosition
2010 Global Reachability in Bounded Phase Multi-stack Pushdown Systems
Anil Seth
CAV1
2007 RAM Simulation of BGS Model of Abstract-state Machines
Seshadhri Comandur, Anil Seth, Somenath Biswas
Fundam. Informaticae2
2001 Algorithms for energy optimization using processor instructions
abstract
In this paper, we consider processors which provide an idle instruction to the user for powering down processor units which are not required during portions of program execution. We describe algorithms which can be implemented in an energy-aware compiler to make efficient use of such an instruction. These algorithms are based on program static analysis and a combinatorial optimization formulation of the problem. We assume as input an assembly language program of the processor in question. The problem is to insert the idle instruction at different places in the assembly language program such that energy saving is maximized and the execution time of the resulting program is not increased beyond a user-specified value.
Anil Seth, Ravindra B. Keskar
CASES1
1998 Ordering Finite Variable Types with Generalized Quantifiers
abstract
Let Q be a finite set of generalized quantifiers. By L/sup k/(Q) we denote the k-variable fragment of FO(Q), first order logic extended with Q. We show that for each k, there is a PFP(Q)-definable linear pre-order whose equivalence classes in any finite structure 21 are the L/sup k/(Q)-types in 21. For some special classes of generalized quantifiers Q, we show that such an ordering of L/sup k/(Q)-types is already definable in IFP(Q). As applications of the above results, we prove some generalizations of the Abiteboul-Vianu theorem. For instance, we show that for any finite set Q of modular counting quantifiers, P=PSPACE if, and only if, IFP(Q)=PFP(Q) over finite structures. On the other hand, we show that an ordering of L/sup k/(Q)-types is not always definable in IFP(Q). Indeed, we construct a single, polynomial time computable quantifier P such that the equivalence relation /spl equiv//sup k,P/, and hence ordering on L/sup k/(P)-types, is not definable in IFP(P).
Anuj Dawar, Lauri Hella, Anil Seth
LICS3
1997 Sharper Results on the Expressive Power of Generalized Quantifiers
Anil Seth
FSTTCS1
1995 When Do Fixed Point Logics Capture Complexity Classes?
abstract
We give examples of classes of rigid structures which are of unbounded rigidity but least fixed point (Partial fixed point) logic can express all Boolean PTIME (PSPACE) queries on these classes. This shows that definability of linear order in FO+LEP although sufficient for it to capture Boolean PTIME queries, is not necessary even on the classes of rigid structures. The situation however appears very different for nonzero-ary queries. Next, we turn to the study of fixed point logics on arbitrary classes of structures. We completely characterize the recursively enumerable classes of finite structures on which PFP captures all PSPACE queries of arbitrary arities. We also state in some alternative forms several natural necessary and some sufficient conditions for PFP to capture PSPACE queries on classes of finite structures. The conditions similar to the ones proposed above work for LFP and PTIME also in some special cases but to prove the same necessary conditions in general for LFP to capture PTIME seems harder and remains open.
Anil Seth
LICS1
1993 Some Desirable Conditions for Feasible Functionals of Type~2
abstract
We consider functionals of type 2 as transformers between functions of type 1. An intuitively feasible functional must preserve the complexity of the input function in some broad sense. We show that the well quasi-order functional, which has been proposed by S.A. Cook (1990) as being intuitively feasible, fails to preserve the class of Kalmar elementary functions. For the basic feasible functionals (BFF), we show that there are arbitrarily large complexity classes of type 1 functions, under the classical definition of a complexity class, which contain polynomial-time functions and are closed under composition but are not preserved by the BFF. However, for a more natural definition of a complexity class of type 1 functions, BFF is shown to preserve all such complexity classes. BFF is the largest known class with this property. We prove BFF to be the largest class of type 2 functionals which satisfies Cook's conditions and the Ritchie-Cobham property, and preserves all classes of type 1 computable functions that contain polynomial-time functions and are closed under composition and limited recursion on notation. These results give some evidence that basic feasible functionals may be the right notion of type 2 feasibility.>
Anil Seth
LICS1
1992 There is No Recursive Axiomatization for Feasible Functionals of Type~2
abstract
The author shows a class of type-two feasible functionals, C/sub 2/, that satisfies Cook's conditions, (1990) and cannot be expressed as the lambda closure of type-one poly-time functions and any recursively enumerable set of type-two feasible functionals. Further, no class of total type-two functionals containing this class is representable as the lambda closure of a recursively enumerable set of type-two total computable functionals and type-one poly-time functions. The definition of C/sub 2/ provides a clear computational procedure for functionals of C/sub 2/. Using functionals of class C/sub 2/ a more general notion of polynomial-time reducibility between two arbitrary type-one functions can be introduced.>
Anil Seth
LICS1