62,698 research outputs found

    Solving kk-SUM using few linear queries

    Full text link
    The kk-SUM problem is given nn input real numbers to determine whether any kk of them sum to zero. The problem is of tremendous importance in the emerging field of complexity theory within PP, and it is in particular open whether it admits an algorithm of complexity O(nc)O(n^c) with c<⌈k2⌉c<\lceil \frac{k}{2} \rceil. Inspired by an algorithm due to Meiser (1993), we show that there exist linear decision trees and algebraic computation trees of depth O(n3log⁡3n)O(n^3\log^3 n) solving kk-SUM. Furthermore, we show that there exists a randomized algorithm that runs in O~(n⌈k2⌉+8)\tilde{O}(n^{\lceil \frac{k}{2} \rceil+8}) time, and performs O(n3log⁡3n)O(n^3\log^3 n) linear queries on the input. Thus, we show that it is possible to have an algorithm with a runtime almost identical (up to the +8+8) to the best known algorithm but for the first time also with the number of queries on the input a polynomial that is independent of kk. The O(n3log⁡3n)O(n^3\log^3 n) bound on the number of linear queries is also a tighter bound than any known algorithm solving kk-SUM, even allowing unlimited total time outside of the queries. By simultaneously achieving few queries to the input without significantly sacrificing runtime vis-\`{a}-vis known algorithms, we deepen the understanding of this canonical problem which is a cornerstone of complexity-within-PP. We also consider a range of tradeoffs between the number of terms involved in the queries and the depth of the decision tree. In particular, we prove that there exist o(n)o(n)-linear decision trees of depth o(n4)o(n^4)

    Forest Stand Structure and Primary Production in relation to Ecosystem Development, Disturbance, and Canopy Composition

    Get PDF
    Temperate forests are complex ecosystems that sequester carbon (C) in biomass. C storage is related to ecosystem-scale forest structure, changing over succession, disturbance, and with community composition. We quantified ecosystem biological and physical structure in two forest chronosequences varying in disturbance intensity, and three late successional functional types to examine how multiple structural expressions relate to ecosystem C cycling. We quantified C cycling as wood net primary production (NPP), ecosystem structure as Simpson’s Index, and physical structure as leaf quantity (LAI) and arrangement (rugosity), examining how wood NPP-structure relates to light distribution and use-efficiency. Relationships between structural attributes of biodiversity, LAI, and rugosity differed. Development of rugosity was conserved regardless of disturbance and composition, suggesting optimization of vegetation arrangement over succession. LAI and rugosity showed significant positive productivity trends over succession, particularly within deciduous broadleaf forests, suggesting these measures of structure contain complementary, not redundant, information related to C cycling

    The Complexity of Simultaneous Geometric Graph Embedding

    Full text link
    Given a collection of planar graphs G1,
,GkG_1,\dots,G_k on the same set VV of nn vertices, the simultaneous geometric embedding (with mapping) problem, or simply kk-SGE, is to find a set PP of nn points in the plane and a bijection ϕ:V→P\phi: V \to P such that the induced straight-line drawings of G1,
,GkG_1,\dots,G_k under ϕ\phi are all plane. This problem is polynomial-time equivalent to weak rectilinear realizability of abstract topological graphs, which Kyn\v{c}l (doi:10.1007/s00454-010-9320-x) proved to be complete for ∃R\exists\mathbb{R}, the existential theory of the reals. Hence the problem kk-SGE is polynomial-time equivalent to several other problems in computational geometry, such as recognizing intersection graphs of line segments or finding the rectilinear crossing number of a graph. We give an elementary reduction from the pseudoline stretchability problem to kk-SGE, with the property that both numbers kk and nn are linear in the number of pseudolines. This implies not only the ∃R\exists\mathbb{R}-hardness result, but also a 22Ω(n)2^{2^{\Omega (n)}} lower bound on the minimum size of a grid on which any such simultaneous embedding can be drawn. This bound is tight. Hence there exists such collections of graphs that can be simultaneously embedded, but every simultaneous drawing requires an exponential number of bits per coordinates. The best value that can be extracted from Kyn\v{c}l's proof is only 22Ω(n)2^{2^{\Omega (\sqrt{n})}}

    Semi-algebraic Ramsey numbers

    Get PDF
    Given a finite point set P⊂RdP \subset \mathbb{R}^d, a kk-ary semi-algebraic relation EE on PP is the set of kk-tuples of points in PP, which is determined by a finite number of polynomial equations and inequalities in kdkd real variables. The description complexity of such a relation is at most tt if the number of polynomials and their degrees are all bounded by tt. The Ramsey number Rkd,t(s,n)R^{d,t}_k(s,n) is the minimum NN such that any NN-element point set PP in Rd\mathbb{R}^d equipped with a kk-ary semi-algebraic relation EE, such that EE has complexity at most tt, contains ss members such that every kk-tuple induced by them is in EE, or nn members such that every kk-tuple induced by them is not in EE. We give a new upper bound for Rkd,t(s,n)R^{d,t}_k(s,n) for k≄3k\geq 3 and ss fixed. In particular, we show that for fixed integers d,t,sd,t,s, R3d,t(s,n)≀2no(1),R^{d,t}_3(s,n) \leq 2^{n^{o(1)}}, establishing a subexponential upper bound on R3d,t(s,n)R^{d,t}_3(s,n). This improves the previous bound of 2nC2^{n^C} due to Conlon, Fox, Pach, Sudakov, and Suk, where CC is a very large constant depending on d,t,d,t, and ss. As an application, we give new estimates for a recently studied Ramsey-type problem on hyperplane arrangements in Rd\mathbb{R}^d. We also study multi-color Ramsey numbers for triangles in our semi-algebraic setting, achieving some partial results

    The visual preferences for forest regeneration and field afforestation : four case studies in Finland

    Get PDF
    The overall aim of this dissertation was to study the public's preferences for forest regeneration fellings and field afforestations, as well as to find out the relations of these preferences to landscape management instructions, to ecological healthiness, and to the contemporary theories for predicting landscape preferences. This dissertation includes four case studies in Finland, each based on the visualization of management options and surveys. Guidelines for improving the visual quality of forest regeneration and field afforestation are given based on the case studies. The results show that forest regeneration can be connected to positive images and memories when the regeneration area is small and some time has passed since the felling. Preferences may not depend only on the management alternative itself but also on the viewing distance, viewing point, and the scene in which the management options are implemented. The current Finnish forest landscape management guidelines as well as the ecological healthiness of the studied options are to a large extent compatible with the public's preferences. However, there are some discrepancies. For example, the landscape management instructions as well as ecological hypotheses suggest that the retention trees need to be left in groups, whereas people usually prefer individually located retention trees to those trees in groups. Information and psycho-evolutionary theories provide some possible explanations for people's preferences for forest regeneration and field afforestation, but the results cannot be consistently explained by these theories. The preferences of the different stakeholder groups were very similar. However, the preference ratings of the groups that make their living from forest - forest owners and forest professionals - slightly differed from those of the others. These results provide support for the assumptions that preferences are largely consistent at least within one nation, but that knowledge and a reference group may also influence preferences.VÀitöskirjassa tutkittiin ihmisten maisemapreferenssejÀ (maisemallisia arvostuksia) metsÀnuudistamishakkuiden ja pellonmetsitysten suhteen sekÀ analysoitiin nÀiden preferenssien yhteyksiÀ maisemanhoito-ohjeisiin, vaihtoehtojen ekologiseen terveyteen ja preferenssejÀ ennustaviin teorioihin. VÀitöskirja sisÀltÀÀ neljÀ tapaustutkimusta, jotka perustuvat hoitovaihtoehtojen visualisointiin ja kyselytutkimuksiin. Tapaustutkimusten pohjalta annetaan ohjeita siitÀ, kuinka uudistushakkuiden ja pellonmetsitysten visuaalista laatua voidaan parantaa. VÀitöskirjan tulokset osoittavat, ettÀ uudistamishakkuut voivat herÀttÀÀ myös myönteisiÀ mielikuvia ja muistoja, jos uudistusala on pieni ja hakkuun vÀlittömÀt jÀljet ovat jo peittyneet. Preferensseihin vaikuttaa hoitovaihtoehdon lisÀksi mm. katseluetÀisyys, katselupiste ja ympÀristö, jossa vaihtoehto on toteutettu. Eri viiteryhmien (metsÀammattilaiset, pÀÀkaupunkiseudun asukkaat, ympÀristönsuojelijat, tutkimusalueiden matkailijat, paikalliset asukkaat sekÀ metsÀnomistajat) maisemapreferenssit olivat hyvin samankaltaisia. Kuitenkin ne ryhmÀt, jotka saavat ainakin osan elannostaan metsÀstÀ - metsÀnomistajat ja metsÀammattilaiset - pitivÀt metsÀnhakkuita esittÀvistÀ kuvista hieman enemmÀn kuin muut ryhmÀt. NÀmÀ tulokset tukevat oletusta, ettÀ maisemapreferenssit ovat laajalti yhtenevÀisiÀ ainakin yhden kansan tai kulttuurin keskuudessa, vaikka myös viiteryhmÀ saattaa vaikuttaa preferensseihin jonkin verran. Nykyiset metsÀmaisemanhoito-ohjeet ovat pitkÀlti samankaltaisia tÀssÀ vÀitöskirjassa havaittujen maisemapreferenssien kanssa. MyöskÀÀn tutkittujen vaihtoehtoisten hoitotapojen ekologisen paremmuuden ja niihin kohdistuvien maisemallisten arvostusten vÀlillÀ ei ollut suurta ristiriitaa. Kuitenkin joitakin eroavaisuuksia oli; esimerkiksi sekÀ maisemanhoito-ohjeiden ettÀ ekologisten hypoteesien mukaan sÀÀstöpuut tulisi jÀttÀÀ ryhmiin, kun taas ihmiset pitivÀt eniten yksittÀin jÀtetyistÀ puista. Informaatiomalli ja psyko-evolutionaarinen teoria tarjoavat mahdollisia selityksiÀ uudistushakkuisiin ja pellonmetsitykseen kohdistuville preferensseille, vaikkakaan tutkimuksen tuloksia ei voida tÀysin selittÀÀ nÀillÀ teorioilla
    • 

    corecore