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Complexity and Real Computation

TLDR
This chapter discusses decision problems and Complexity over a Ring and the Fundamental Theorem of Algebra: Complexity Aspects.
Abstract
1 Introduction.- 2 Definitions and First Properties of Computation.- 3 Computation over a Ring.- 4 Decision Problems and Complexity over a Ring.- 5 The Class NP and NP-Complete Problems.- 6 Integer Machines.- 7 Algebraic Settings for the Problem "P ? NP?".- 8 Newton's Method.- 9 Fundamental Theorem of Algebra: Complexity Aspects.- 10 Bezout's Theorem.- 11 Condition Numbers and the Loss of Precision of Linear Equations.- 12 The Condition Number for Nonlinear Problems.- 13 The Condition Number in ?(H(d).- 14 Complexity and the Condition Number.- 15 Linear Programming.- 16 Deterministic Lower Bounds.- 17 Probabilistic Machines.- 18 Parallel Computations.- 19 Some Separations of Complexity Classes.- 20 Weak Machines.- 21 Additive Machines.- 22 Nonuniform Complexity Classes.- 23 Descriptive Complexity.- References.

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Citations
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Journal ArticleDOI

Implicit Complexity over an Arbitrary Structure: Sequential and Parallel Polynomial Time

TL;DR: This work provides several machine-independent characterizations of deterministic complexity classes in the model of computation proposed by L. Blum, M. Shub and S. Smale and shows that polynomial time over an arbitrary structure can be characterized in terms of safe recursion.
Proceedings ArticleDOI

On the complexity of diophantine geometry in low dimensions

TL;DR: It is shown that the following two problems can be solved within PSPACE, and the truth of the Generalized Riemann Hypothesis implies that detecting roots in Q/sup n/ for the polynomial systems in problem (I) can be done via a two-round Arthur-Merlin protocol.
Proceedings ArticleDOI

Experimentation in the Schubert Calculus

TL;DR: A well-known web of conjectures and results in the real Schubert calculus has been inspired by this continuing experimentation as mentioned in this paper, which enables large-scale experimentation to investigate subtle and ill-understood phenomena in the SchUbert calculus.
Posted Content

Using SOS for Optimal Semialgebraic Representation of Sets: Finding Minimal Representations of Limit Cycles, Chaotic Attractors and Unions

TL;DR: It is shown that Sum-of-Squares optimization can be used to find optimal semialgebraic representations of sets, and defines optimality in the sense of minimum volume, while satisfying constraints that can include set containment, convexity, or Lyapunov stability conditions.
Journal ArticleDOI

Discreteness is undecidable

TL;DR: It is proved that the discreteness problem for two-generated nonelementary subgroups of SL(2, ℂ) is undecidable in the Blum–Shub–Smale (BSS) computability model.
References
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Book

Principles of Algebraic Geometry

TL;DR: In this paper, a comprehensive, self-contained treatment of complex manifold theory is presented, focusing on results applicable to projective varieties, and including discussion of the theory of Riemann surfaces and algebraic curves, algebraic surfaces and the quadric line complex.
Book

The algebraic eigenvalue problem

TL;DR: Theoretical background Perturbation theory Error analysis Solution of linear algebraic equations Hermitian matrices Reduction of a general matrix to condensed form Eigenvalues of matrices of condensed forms The LR and QR algorithms Iterative methods Bibliography.
Book

Theory of Linear and Integer Programming

TL;DR: Introduction and Preliminaries.
Proceedings ArticleDOI

The complexity of theorem-proving procedures

TL;DR: It is shown that any recognition problem solved by a polynomial time-bounded nondeterministic Turing machine can be “reduced” to the problem of determining whether a given propositional formula is a tautology.
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