… bisection procedure to divide the graph into p subgraphs. Assume we have a bisection function
BISECTION. … the case where BISECTION is an approximately optimal bisection algorithm. …

… bisection … bisection algorithm remains optimal even if these general evaluations are permitted.
This paper affirmatively proves this conjecture. In fact we prove optimality of the bisection …

… The natural point of bisection is not available from other … The present study was designed
to find the point of bisection … to determine whether the point of bisection would be at the …

… is exactly the same as the minimum bisection (see the discussion leading to Lemma 4.1), …
actly the same as the Min-Bisection problem on a planted bisection model; hence, we will use …

… a combination of bisection and other methods to prove that with the help of bisection method
we … all methods • We can safeguard bisection to detect cases where we don’t have any roots …

… bisection in neurologically normal subject populations. Although most of these studies report
a leftward bisection … The meta-analytic results indicate a significant leftward bisection error …

… bisection were proposed some time ago for this task. This paper systematically compares
such generalized bisection … that is appropriate for generalized bisection, but very difticult for …

… Is the familiar bisection method part of some larger scheme? The aim of this paper is … bisection
method to higher dimensions. The algorithm preserves the salient features of the bisection …

… The bisection cost is the number of edges connecting the two sets. It is known that finding
a bisection of minimum cost is NP-hard. We present an algorithm that finds a bisection whose …

… One measure of this bias is the bisection point, the stimulus value that gives rise to 50% “…
identical bisection points, but different sensitivities; in the lower panel the bisection points differ …