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| 1 | Quasi-P^* -maps, P(τ,α,β)-Maps, Exceptional Family of Element and Complementarity Problems 显示文摘 | ZHAO Yunbin Isac G | 2000 | Journal of Optimization Theory and Applications2000，105，1： | 1 |
| 2 | Properties of a Multivalued Mapping Associated with Some Nonmonotone Complementarity Problems 显示文摘 | ZHAO Yunbin Isac G | 2000 | SIAM Journal on Control and Optimization2000，39，2： | 1 |
| 3 | 1-Bit compressive sensing: Reformulation and RRSP-based sign recovery theory显示文摘Recently, the 1-bit compressive sensing(1-bit CS) has been studied in the field of sparse signal recovery. Since the amplitude information of sparse signals in 1-bit CS is not available, it is often the support or the sign of a signal that can be exactly recovered with a decoding method. We first show that a necessary assumption(that has been overlooked in the literature) should be made for some existing theories and discussions for 1-bit CS. Without such an assumption, the found solution by some existing decoding algorithms might be inconsistent with 1-bit measurements. This motivates us to pursue a new direction to develop uniform and nonuniform recovery theories for 1-bit CS with a new decoding method which always generates a solution consistent with 1-bit measurements. We focus on an extreme case of 1-bit CS, in which the measurements capture only the sign of the product of a sensing matrix and a signal. We show that the 1-bit CS model can be reformulated equivalently as an ?_0-minimization problem with linear constraints. This reformulation naturally leads to a new linear-program-based decoding method, referred to as the 1-bit basis pursuit, which is remarkably different from existing formulations. It turns out that the uniqueness condition for the solution of the 1-bit basis pursuit yields the so-called restricted range space property(RRSP) of the transposed sensing matrix. This concept provides a basis to develop sign recovery conditions for sparse signals through 1-bit measurements. We prove that if the sign of a sparse signal can be exactly recovered from 1-bit measurements with 1-bit basis pursuit, then the sensing matrix must admit a certain RRSP, and that if the sensing matrix admits a slightly enhanced RRSP, then the sign of a k-sparse signal can be exactly recovered with 1-bit basis pursuit. | ZHAO YunBin XU ChunLei | 2016 | Science China Mathematics2016，59，10： | 1 |
| 4 | Magnetic properties and magnetic entropy change of perovskite manganites La_(0.9-x)Eu_xSr_(0.1)MnO_3(x=0.000,0.075) by experimental method and numerical fitting显示文摘Polycrystalline samples La_(0.9-x)EuxSr_(0.1)MnO_3(x = 0.000, 0.075) were prepared by the standard solid-state reaction method. The results show that the samples preform a characteristic of clusters spin-glass state at low temperature. The samples show a characteristic of ferromagnetism(FM) characteristic in the temperature range of 15-125 K and 15-150 K respectively; the samples show preformed clusters in the temperature range of 125-343 K and 150-325 K, respectively, the samples show paramagnetism(PM)characteristic above 343 and 325 K, respectively. The second-order transitions are found at 118 and 135 K for undoped and doped sample, respectively. When the applied magnetic field is 7 T, the maximum magnetic entropy change |△S_M| value of the samples is near the Curie temperature(Tc), and the value of|△S_M| reaches 2.76 and 3.03 J/(K kg), respectively. In addition, the relative cooling power(RCP) is found to be 425.28 and 443.53 J/kg. The numerical fitting data fit well with experimental data. These results indicate that both the samples have the potential to realize magnetic refrigeration in the high temperature region(T > 77 K). | Xiang Jin Jianjun Zhao Hongye Wu Bao Xu Yunbin Sun Xiaodong Sun Fengze Cao Kai Wang Wenxing Wang Yutong Zhang Yi Lu | 2019 | Journal of Rare Earths2019，37，6： | 1 |
| 5 | New and improved conditions for uniqueness of sparsest solutions of underdetermined linear systems显示文摘 | ZHAO Yunbin | 2013 | Applied Mathematics and Computation2013，224，： | 1 |
| 6 | The Comparison of property of Tumor Necrosis Factor-a Converting Enzyme(TACE)and Some Matrix Metalloproteases(MMPs)in Catalytic Domain显示文摘 | ZHAO Yunbin FENG Wenfang YANGYuzhen | 2006 | Journal of Huzhong University of Science and Technolngy(Medical Sciences)2006，26，6： | 1 |
| 7 | Formation and growth mechanisms of ultrafine particles in sludge-incineration flue gas显示文摘Atmospheric particulate matter with diameter<2.5μm now makes up much of the air pollution in China,but it is the ultrafine particles(UFPs)with diameter<90 nm that are of particular interest.This is because UFPs are strongly linked with human health for two reasons:they contain a variety of hazardous substances and they can deeply penetrate human respiratory systems.Therefore,scanning electron microscopy combined with X-ray dispersive energy spectrometry was used to characterize the morphology and surface texture,as well as the elemental composition of 60 UFPs.The UFPs was generated in a sewage sludge-incineration power plant in Zhejiang Province.This was done to determine the microstructure of the ultrafine particles and to follow the evolution of particle surface elemental composition with increasing particle size.Then,a comparison of the characteristic time for nucleation,condensation and coagulation was done to estimate the dominant mechanism.The results show that the UFPs have generally irregular shapes(cotton-like,irregular balls,sheets,etc.)and that they usually aggregate to form a mass.With increase in the size of a UFP,the mass fraction of the elements presents clearly changed:Na,K and Fe gradually decreased;while Ca,Si and Al,as well as the heavy metals Cu,Zn and Ni increased.Characteristic time estimation is a convenient and effective tool for identifying the predominant mechanisms during combustion.In this study,calculations of characteristic time were used to reveal a mechanism of vaporization,nucleation,condensation and coagulation,which drives the formation and growth of ultrafine particles. | Yanlong Li Jiaqi Man Zhengquan Fang Yunbin Zhao Feng Wang Rundong Li | 2019 | Waste Disposal and Sustainable Energy2019，1，2： | 1 |
| 8 | Improved RIP-based bounds for guaranteed performance of two compressed sensing algorithms显示文摘Iterative hard thresholding(IHT)and compressive sampling matching pursuit(CoSaMP)are two mainstream compressed sensing algorithms using the hard thresholding operator.The guaranteed performance of the two algorithms for signal recovery was mainly analyzed in terms of the restricted isometry property(RIP)of sensing matrices.At present,the best known bound using the RIP of order 3k for guaranteed performance of IHT(with the unit stepsize)isδ3k<1/√3≈0.5774,and the bound for CoSaMP using the RIP of order 4k isδ4k<0.4782.A fundamental question in this area is whether such theoretical results can be further improved.The purpose of this paper is to affirmatively answer this question and to rigorously show that the abovementioned RIP bound for guaranteed performance of IHT can be significantly improved toδ3k<(√5−1)/2≈0.618,and the bound for CoSaMP can be improved toδ4k<0.5102. | Yunbin Zhao Zhiquan Luo | 2023 | Science China Mathematics2023，66，5： | 0 |
| 9 | Global and Superlinear Convergence for Generalized Broyden's Class Methods | ZHAO Yunbin(Chongqing Industry and Management Institute. Chongqing, 630050. China) | 1994 | Systems Science and Systems Engineering1994，4，2： | 0 |
| 10 | Alternative Theorems and Sufficient Conditions of Global Convergence for a Class of Feasible Direction Algorithms | ZHAO Yunbin Chongqing Industry and Management Institute, Chongqing 630050, China | 1993 | Systems Science and Systems Engineering1993，3，3： | 0 |
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