969 research outputs found

    On Formal Specification of Maple Programs

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    This paper is an example-based demonstration of our initial results on the formal specification of programs written in the computer algebra language MiniMaple (a substantial subset of Maple with slight extensions). The main goal of this work is to define a verification framework for MiniMaple. Formal specification of MiniMaple programs is rather complex task as it supports non-standard types of objects, e.g. symbols and unevaluated expressions, and additional functions and predicates, e.g. runtime type tests etc. We have used the specification language to specify various computer algebra concepts respective objects of the Maple package DifferenceDifferential developed at our institute

    Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

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    Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter set for a given optimization algorithm and (set of) problem instances. When the objective of the optimization is some scalar quality of the solution given by the target algorithm, this quality is also used as the basis for the quality of parameter sets. But in the case of multi-objective optimization by aggregation, the set of solutions is given by several single-objective runs with different weights on the objectives, and it turns out that the hypervolume of the final population of each single-objective run might be a better indicator of the global performance of the aggregation method than the best fitness in its population. This paper discusses this issue on a case study in multi-objective temporal planning using the evolutionary planner DaE-YAHSP and the meta-optimizer ParamILS. The results clearly show how ParamILS makes a difference between both approaches, and demonstrate that indeed, in this context, using the hypervolume indicator as ParamILS target is the best choice. Other issues pertaining to parameter tuning in the proposed context are also discussed.Comment: arXiv admin note: substantial text overlap with arXiv:1305.116

    Clustered Integer 3SUM via Additive Combinatorics

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    We present a collection of new results on problems related to 3SUM, including: 1. The first truly subquadratic algorithm for      \ \ \ \ \ 1a. computing the (min,+) convolution for monotone increasing sequences with integer values bounded by O(n)O(n),      \ \ \ \ \ 1b. solving 3SUM for monotone sets in 2D with integer coordinates bounded by O(n)O(n), and      \ \ \ \ \ 1c. preprocessing a binary string for histogram indexing (also called jumbled indexing). The running time is: O(n(9+177)/12polylogn)=O(n1.859)O(n^{(9+\sqrt{177})/12}\,\textrm{polylog}\,n)=O(n^{1.859}) with randomization, or O(n1.864)O(n^{1.864}) deterministically. This greatly improves the previous n2/2Ω(logn)n^2/2^{\Omega(\sqrt{\log n})} time bound obtained from Williams' recent result on all-pairs shortest paths [STOC'14], and answers an open question raised by several researchers studying the histogram indexing problem. 2. The first algorithm for histogram indexing for any constant alphabet size that achieves truly subquadratic preprocessing time and truly sublinear query time. 3. A truly subquadratic algorithm for integer 3SUM in the case when the given set can be partitioned into n1δn^{1-\delta} clusters each covered by an interval of length nn, for any constant δ>0\delta>0. 4. An algorithm to preprocess any set of nn integers so that subsequently 3SUM on any given subset can be solved in O(n13/7polylogn)O(n^{13/7}\,\textrm{polylog}\,n) time. All these results are obtained by a surprising new technique, based on the Balog--Szemer\'edi--Gowers Theorem from additive combinatorics

    Threesomes, Degenerates, and Love Triangles

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    The 3SUM problem is to decide, given a set of nn real numbers, whether any three sum to zero. It is widely conjectured that a trivial O(n2)O(n^2)-time algorithm is optimal and over the years the consequences of this conjecture have been revealed. This 3SUM conjecture implies Ω(n2)\Omega(n^2) lower bounds on numerous problems in computational geometry and a variant of the conjecture implies strong lower bounds on triangle enumeration, dynamic graph algorithms, and string matching data structures. In this paper we refute the 3SUM conjecture. We prove that the decision tree complexity of 3SUM is O(n3/2logn)O(n^{3/2}\sqrt{\log n}) and give two subquadratic 3SUM algorithms, a deterministic one running in O(n2/(logn/loglogn)2/3)O(n^2 / (\log n/\log\log n)^{2/3}) time and a randomized one running in O(n2(loglogn)2/logn)O(n^2 (\log\log n)^2 / \log n) time with high probability. Our results lead directly to improved bounds for kk-variate linear degeneracy testing for all odd k3k\ge 3. The problem is to decide, given a linear function f(x1,,xk)=α0+1ikαixif(x_1,\ldots,x_k) = \alpha_0 + \sum_{1\le i\le k} \alpha_i x_i and a set ARA \subset \mathbb{R}, whether 0f(Ak)0\in f(A^k). We show the decision tree complexity of this problem is O(nk/2logn)O(n^{k/2}\sqrt{\log n}). Finally, we give a subcubic algorithm for a generalization of the (min,+)(\min,+)-product over real-valued matrices and apply it to the problem of finding zero-weight triangles in weighted graphs. We give a depth-O(n5/2logn)O(n^{5/2}\sqrt{\log n}) decision tree for this problem, as well as an algorithm running in time O(n3(loglogn)2/logn)O(n^3 (\log\log n)^2/\log n)

    Subquadratic harmonic functions on Calabi-Yau manifolds with Euclidean volume growth

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    We prove that on a complete Calabi-Yau manifold MM with Euclidean volume growth, a harmonic function with subquadratic polynomial growth is the real part of a holomorphic function. This generalizes a result of Conlon-Hein. We prove this result by proving a Liouville type theorem for harmonic 11-forms, which follows from a new local L2L^2 estimate of the differential. We also give another proof based on the construction of harmonic functions with polynomial growth in Ding, and the algebraicity of tangent cones in Liu-Sz\'ekelyhidi.Comment: 30 pages. Comments are welcom
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