Complexity of deciding Tarski algebra
Journal of Symbolic Computation
SIAM Journal on Computing
On the Power of Real Turing Machines over Binary Inputs
SIAM Journal on Computing
Complexity and real computation
Complexity and real computation
Topological complexity of the range searching
Journal of Complexity
Completeness classes in algebra
STOC '79 Proceedings of the eleventh annual ACM symposium on Theory of computing
Valiant's model and the cost of computing integers
Computational Complexity
Finding a vector orthogonal to roughly half a collection of vectors
Journal of Complexity
Valiant's model: from exponential sums to exponential products
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Finding a vector orthogonal to roughly half a collection of vectors
Journal of Complexity
Kolmogorov Complexity Theory over the Reals
Electronic Notes in Theoretical Computer Science (ENTCS)
VPSPACE and a transfer theorem over the complex field
Theoretical Computer Science
Decision versus evaluation in algebraic complexity
MCU'07 Proceedings of the 5th international conference on Machines, computations, and universality
Small-space analogues of Valiant's classes
FCT'09 Proceedings of the 17th international conference on Fundamentals of computation theory
VPSPACE and a transfer theorem over the complex field
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
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We introduce a new class VPSPACE of families of polynomials. Roughly speaking, a family of polynomials is in VPSPACE if its coefficients can be computed in polynomial space. Our main theorem is that if (uniform, constant-free) VPSPACE families can be evaluated efficiently then the class PARR of decision problems that can be solved in parallel polynomial time over thereal numbers collapses to PR. As a result, one must first be able to show that there are VPSPACE families which are hard to evaluate in order to separate PR from NPR, or even from PARR.