The Restricted Isometric Property (R.I.P.) is a very important condition for recovering sparse vectors from high dimensional space. Traditional methods often rely on R.I.P or its relaxed variants. However, in real applications, features are often correlated to each other, which makes these assumptions too strong to be useful. In this paper, we study the sparse recovery problem in which the feat...

the holistic approach encourages the client to  include rehabilitation strategies that support the general person condition. in this approach in every condition of physical and mental health, decreasing stress and increasing person's immunity and psychological resilience can help the whole body cope better, rehabilitate more quickly, and maintain better health. holistic treatment means that the...

Low-rank matrix recovery has found many applications in science and engineering such as machine learning, signal processing, collaborative filtering, system identification, and Euclidean embedding. But the low-rank matrix recovery problem is an NP hard problem and thus challenging. A commonly used heuristic approach is the nuclear norm minimization. In [12,14,15], the authors established the ne...

in this work, we developed a method which combined the processes of acid-leaching, ammonium jarosite precipitating and electro-depositing to recover copper and nickel from electroplating sludge. residual sludge from an electroplating plant located in qingdao was used for acid-leaching, and more than 95% of copper, nickel, zinc, chromium and iron were extracted from the sludge. after acid-leachi...

in many reservoirs, after water flooding, a large volume of oil is still left behind. hot water injection is the most basic type of thermal recovery which increase recovery by improved sweep efficiency and thermal expansion of crude.in the present work, the effects of injection rate and the temperature of the injected water were surveyed by using core flooding apparatus. water flooding was perf...

In this work, we propose theoretical and algorithmic-independent recovery conditions which guarantee the uniqueness of block sparse recovery in general dictionaries through a general mixed norm optimization problem. These conditions are derived using the proposed block uncertainty principles and block null space property, based on some newly defined characterizations of block spark, and (p, p)-...