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The present paper deals with the non-real eigenvalues for singular indefinite Sturm–Liouville problems. The lower bounds on non-real eigenvalues for this singular problem associated with a special separated boundary condition are obtained.
We obtain lower bounds for bounded vector-valued additive functionals and use them to obtain lower bounds for empirical measures. We prove a lower semicontinuity property of Λ.
This chapter describes methods based on gradient information that achieve faster rates than basic algorithms such as those described in Chapter 3. These accelerated gradient methods, most notably the heavy-ball method and Nesterov’s optimal method, use the concept of momentum which means that each step combines information from recent gradient values but also earlier steps. These methods are described and analyzed using an analysis based on Lyapunov functions. The cases of convex and strongly convex functions are analyzed separately. We motivate these methods using continuous-time limits, which link gradient methods to dynamical systems described by differential equations. We mention also the conjugate gradient method, which was developed separately from the other method but which also makes use of momentum. Finally, we discuss the concept of lower bounds on algorithmic complexity, introducing a function on which no method based on gradients can attain convergence faster than a certain given rate.
Introduction to polytopes and their connectionto algorithms. Equivalence between extensioncomplexity and nonnegative rank. Lower bounds onextension complexity.
This article offers a modern perspective that exposes the many contributions of Leray in his celebrated work on the three-dimensional incompressible Navier-Stokes equations from 1934. Although the importance of his work is widely acknowledged, the precise contents of his paper are perhaps less well known. The purpose of this article is to fill this gap. We follow Leray's results in detail: we prove local existence of strong solutions starting from divergence-free initial data that is either smooth or belongs to $$H^1$$ or $$L^2 \cap L^p$$ (with $$p \in (3,\infty]$$), as well as lower bounds on the norms $$\| \nabla u (t) \|_2$$ and $$\| u(t) \|_p$$ ($$p\in(3,\infty]$$)as t approaches a putative blow-up time. We show global existence of a weak solution and weak-strong uniqueness. We present Leray's characterisation of the set of singular times for the weak solution, from which we deduce that its upper box-counting dimension is at most 1/2. Throughout the text we provide additional details and clarifications for the modern reader and we expand on all ideas left implicit in the original work, some of which we have not found in the literature. We use some modern mathematical tools to bypass some technical details in Leray's work, and thus expose the elegance of his approach.
Dans ce papier, nous traitons le problème de minimisation dumakespan dans un flow shop hybride à deux étages avec machinesdédiées. En premier lieu, nous présentons des propriétés de base, unensemble de bornes inférieures et deux cas polynomiaux. En secondlieu, nous proposons une nouvelle heuristique qui exploite cespropriétés, et cherche à placer les jobs, en tenant compte pourchaque instance du problème, de la valeur de la borne inférieure.La dernière partie de ce travail présente les résultatsexpérimentaux d'une étude comparative avec une heuristique de lalittérature. L'analyse de ces résultats permet d'apprécier laqualité de notre proposition.
Linear programming techniques can be used in constructing schedules but theirapplication is not trivial. This in particular holds true if a trade-offhas to be made between computation time and solution quality. However,it turns out that – whenhandled with care – mixed integer linear programs may provide effectivetools. This is demonstrated in the successful approach to the benchmarkconstructed for the 2007 ROADEF computation challenge on scheduling problemsfurnished by France Telecom.
We investigate well-structured graph-driven parity-FBDDs, which strictly generalize
the two well-known models parity OBDDs and well-structured graph-driven FBDDs.
The first main result is a characterization of the complexity of Boolean
functions represented by well-structured graph-driven parity-FBDDs in terms of
invariants of the function represented and the graph-ordering used.
As a consequence, we derive a lower bound criterion and prove an exponential
lower bound for certain linear code functions.
The second main result of this paper is a polynomial time algorithm that
minimizes the number of nodes in a graph-driven parity-FBDD.
We show that one-way Π2-alternating Turing machines cannotaccept unary nonregular languages in o(log n) space. This holdsfor an accept mode of space complexity measure, defined asthe worst cost of any accepting computation. This lower boundshould be compared with the corresponding bound for one-wayΣ2-alternating machines, that are able to accept unarynonregular languages in space O(log log n). Thus, Σ2-alternation is more powerful than Π2-alternationfor space bounded one-way machines with unary inputs.
Lower and upper bounds of degree m for the probability of the union of n not necessarily exchangeable events are established. These bounds may be constructed to improve the Bonferroni and the Sobel–Uppuluri bounds.
An application to equi-correlated multivariate normal distribution is given.
This paper develops another canonical form for (0, 1)-matrices which may be used in the same spirit as the nearly decomposable matrix [5] or the k-nearly decomposable matrix [1], This form is intrinsic in each fully indecomposable matrix and does not require the replacement of any of its non-zero entries by 0's.