Color-spanning localized query

نویسندگان

چکیده

Let P be a set of n points, where each point is colored with one the k possible colors. We present efficient algorithms to preprocess such that for given query q, we can quickly identify smallest color spanning object desired type containing q. In this paper, focus on (i) intervals, (ii) axis-parallel square, (iii) rectangle, (iv) equilateral triangle fixed orientation and (v) circle, as our objects.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Smallest Color-Spanning Objects

Motivated by questions in location planning, we show for a set of colored point sites in the plane how to compute the smallest (by perimeter or area) axis-parallel rectangle, the narrowest strip, and other smallest objects enclosing at least one site of each color.

متن کامل

Localized geometric query problems

A new class of geometric query problems are studied in this paper. We are required to preprocess a set of geometric objects P in the plane, so that for any arbitrary query point q, the largest circle that contains q but does not contain any member of P , can be reported efficiently. The geometric sets that we consider are point sets and boundaries of simple polygons.

متن کامل

Recognition of Minimum Width Color-Spanning Corridor and Minimum Area Color-Spanning Rectangle

Given a set of n colored points with a total of m > 3 colors in 2D, the problem of identifying the smallest color-spanning object is studied. We have considered two different shapes: (i) corridor, and (ii) rectangle of arbitrary orientation. Our proposed algorithm identifies the narrowest color-spanning corridor in O(n2 log n) time using O(n) space. Our proposed algorithm for identifying minimu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Theoretical Computer Science

سال: 2021

ISSN: ['1879-2294', '0304-3975']

DOI: https://doi.org/10.1016/j.tcs.2021.02.013