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Matrix is a decentralized middleware for low-latency group communication, most renowned for its use in the Element instant messenger. Proposals for peer-to-peer (P2P) Matrix architectures aim to decentralize the current architecture further, which is ...

Replicated event logbooks are ubiquitous in decentralized systems designed to cope with Byzantine-faulty replicas. Recently, there is a growing subclass that only partially orders its logbooks by hash-linking inscribed events to their causal past. ...

High-speed development of information in associations in the present universe of business exchanges, broad information preparing is a main issue of information technology. Generally, an Apriori calculation is broadly used to discover the incessant thing ...

The paper discusses a fundamental approach to creating a system for detecting editing points in digital videograms and proposes the corresponding method. The above approach is the end-product of research on identifying digital image recording ...

In recent years, the UML language has been one of the most used to conduct information system analysis and design. Being an object-oriented technique, UML provides a vast set of diagrams, in order to represent the various abstractions of the system, of ...

Interactive zero-knowledge arguments for some fundamental linear algebraic operations have been formulated. Using those proofs for operations involving vectors or matrices requires certain reductions and additional communication rounds. In this paper, we ...

Incremental learning is used to continuously update and tune an existing model, as more data points come in. However, there is a tradeoff between speed and accuracy as the model becomes stable. From a big data angle, computing machine learning models is ...

Motivated by the Matrix Spencer conjecture, we study the problem of finding signed sums of matrices with a small matrix norm. A well-known strategy to obtain these signs is to prove, given matrices A₁, …, A_n ∈ ℝ^{m × m}, a Gaussian measure lower bound of 2^−...

Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations’ utility when exploring ...

At present, single evaluation indicator is often used to evaluate the academic influence of individuals and research institutions, such as total number of published papers, citation times and ESI highly cited papers. To solve the limitation of this ...

We approach the problem of implementing mixed-datatype support within the general matrix multiplication (gemm) operation of the BLAS-like Library Instantiation Software framework, whereby each matrix operand A, B, and C may be stored as single- or ...

Multigranulation rough set (MGRS) theory provides an effective manner for the problem solving by making use of multiple equivalence relations. As the information systems always dynamically change over time due to the addition or deletion of multiple ...

The basics of error-correcting block-cyclic coding are described. The method of the recognition of the parameters of such a code using the exhaustive search without a priori information is considered. The number of necessary calculations is ...

Objective The development of artificial intelligence technology has led to the transformation of communication carrier, communication medium and communication mode. Methods on the basis of mathematician Arthur Cayley's mathematical matrix theory, through ...

The Matrix message-oriented middleware (see https://matrix.org) is gaining momentum as a basis for a decentralized, secure messaging system as shown, for example, by its deployment within the French government and by the Mozilla foundation. Thus, ...

Basic Linear Algebra Subroutines For Embedded Optimization (BLASFEO) is a dense linear algebra library providing high-performance implementations of BLAS- and LAPACK-like routines for use in embedded optimization and other applications targeting ...

Technology makes many of the tasks that were previously difficult to perform, nowadays can be solved, one of them is to be able to carry out studies on large tracts of land and at the same time be able to have a level of detail of them, through ...

Almost all efforts to optimize high-performance matrix-matrix multiplication have been focused on the case where matrices contain real elements. The community's collective assumption appears to have been that the techniques and methods developed for the real ...

This study develops and tests a conceptual framework that analyzes how and why a firm’s experiences with complex intraorganizational structures (i.e., matrix) will affect its propensity to enter into, and ability to manage, complex interorganizational ...

Basic Linear Algebra Subroutines for Embedded Optimization (BLASFEO) is a dense linear algebra library providing high-performance implementations of BLAS- and LAPACK-like routines for use in embedded optimization and small-scale high-performance ...