Mutually unbiased bases for quantum degrees of freedom are central to all theoretical
investigations and practical exploitations of complementary properties. Much is known about …

Distributed stochastic gradient descent is an important subroutine in distributed learning. A
setting of particular interest is when the clients are mobile devices, where two important …

Motivated by the need for distributed learning and optimization algorithms with low
communication cost, we study communication efficient algorithms for distributed mean …

The CRC Handbook of Finite Fields (hereafter referred to as the Handbook) is a reference
book for the theory and applications of finite fields. It is not intended to be an introductory …

Quantum information theory is a branch of science at the frontier of physics, mathematics,
and information science, and offers a variety of solutions that are impossible using classical …

Applications of the Analytic Network Process (ANP) in decision making demonstrate to our
considerable amazement, and by way of validation, that people as they experience life know …

The aim of this book is to concisely present fundamental ideas, results, and techniques in
linear algebra and mainly matrix theory. The book contains ten chapters covering various …

Sequences and their properties have been studied widely in different research areas
because they have useful characteristics which are used in many applications. Correlation …

This chapter deals with multi-output Boolean functions viewed from a cryptographic
viewpoint, that is, functions from the vector space Fn2, of all binary vectors of length n, to the …

Introduction to Petroleum Seismology, second edition, provides the theoretical and practical
foundation for tackling present and future challenges of petroleum seismology, especially …