on the Geometric Separability of Boolean Functions

نویسندگان

  • Tibor Hegedüs
  • Nimrod Megiddo
چکیده

We investigate the complexity of the MEMBERSHIP problem for some geometrically deened classes of Boolean functions, i.e., the complexity of deciding whether a Boolean function given in DNF belongs to the class. We give a general argument implying that this problem is co-NP-hard for any class having some rather benign closure properties. Applying this result we show that the MEMBERSHIP problem is co-NP-complete for the class of linearly separable functions, threshold functions of order k (for any xed k 0), and some binary-parameter analogues of these classes. Finally, we obtain that the considered problem for unions of k 3 halfs-paces is NP-hard, co-NP-hard and belongs to p 2 , and that the optimal threshold decomposition of a Boolean function as a union of halfspaces cannot even be ef-ciently approximated in a very strong sense unless P = NP. In some cases we improve previous hardness results on the considered problems.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ON THE FUZZY SET THEORY AND AGGREGATION FUNCTIONS: HISTORY AND SOME RECENT ADVANCES

Several fuzzy connectives, including those proposed by Lotfi Zadeh, can be seen as linear extensions of the Boolean connectives from the scale ${0,1}$ into the scale $[0,1]$. We discuss these extensions, in particular, we focus on the dualities arising from the Boolean dualities. These dualities allow to transfer the results from some particular class of extended Boolean functions, e.g., from c...

متن کامل

Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network

Learning problems with inherent non-separable Boolean logic is still a challenge that has not been addressed by neural or kernel classifiers. The k-separability concept introduced recently allows for characterization of complexity of non-separable learning problems. A simple constructive feedforward network that uses a modified form of the error function and a window-like functions to localize ...

متن کامل

Notes on Coarse Grainings and Functions of Observables

Using the Naimark dilation theory we investigate the question under what conditions an observable which is a coarse graining of another observable is a function of it. To this end, conditions for the separability and for the Boolean structure of an observable are given.

متن کامل

Implementing Universal CNN Neuron

The universal CNN neuron can realize arbitrary Boolean functions including both linearly separable Boolean functions (LSBF) and linearly not separable Boolean functions (non-LSBF). However, determining the optimal (or near-optimal) orientation vector and the parameters in the multi-nested discriminant function contained within a universal CNN neuron is still a difficult task. By the aid of the ...

متن کامل

Geometric Studies on Inequalities of Harmonic Functions in a Complex Field Based on ξ-Generalized Hurwitz-Lerch Zeta Function

Authors, define and establish a new subclass of harmonic regular schlicht functions (HSF) in the open unit disc through the use of the extended generalized Noor-type integral operator associated with the ξ-generalized Hurwitz-Lerch Zeta function (GHLZF). Furthermore, some geometric properties of this subclass are also studied.

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Discrete Applied Mathematics

دوره 66  شماره 

صفحات  -

تاریخ انتشار 1996