Abstract: Community detection is an important problem in unsupervised learning. This letter proposes to solve a projection matrix approximation problem with an additional entrywise bounded constraint.

Tractability analysis addresses the fundamental challenge of approximating multivariate functions as both the number of variables and the desired accuracy increase. In high dimensions, naive ...

Analog-to-digital conversion methods abound, but we are going to take a look at a particular approach as shown in Figure 1. Figure 1 An analog-to-digital converter where an analog input signal is ...

The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since ...

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Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...

Abstract: This letter introduces a sparse regularized projection matrix approximation (SPMA) model to recover cluster structures from affinity matrices. The model is formulated as a projection ...

Personnel issues can significantly impact a company’s productivity, revenue and overall success. Investing in your employees and creating a positive work environment can lead to higher employee ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

ABSTRACT: Following A. Einstein’s aspirations for an atomic theory, a novel theory of spacetime quantization/atomization based on finite Atomic AString Functions ...

Inflation and the ability of Democrats and Republicans to work together top the public’s list of the biggest problems facing the country, with 62% of Americans describing inflation as a very big ...