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Real-Time Memory Data Optimization Mechanism of Edge IoT Agent
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作者 Shen Guo Wanxing Sheng +2 位作者 Shuaitao Bai Jichuan Zhang Peng Wang 《Intelligent Automation & Soft Computing》 SCIE 2023年第7期799-814,共16页
With the full development of disk-resident databases(DRDB)in recent years,it is widely used in business and transactional applications.In long-term use,some problems of disk databases are gradually exposed.For applica... With the full development of disk-resident databases(DRDB)in recent years,it is widely used in business and transactional applications.In long-term use,some problems of disk databases are gradually exposed.For applications with high real-time requirements,the performance of using disk database is not satisfactory.In the context of the booming development of the Internet of things,domestic real-time databases have also gradually developed.Still,most of them only support the storage,processing,and analysis of data values with fewer data types,which can not fully meet the current industrial process control system data types,complex sources,fast update speed,and other needs.Facing the business needs of efficient data collection and storage of the Internet of things,this paper optimizes the transaction processing efficiency and data storage performance of the memory database,constructs a lightweight real-time memory database transaction processing and data storage model,realizes a lightweight real-time memory database transaction processing and data storage model,and improves the reliability and efficiency of the database.Through simulation,we proved that the cache hit rate of the cache replacement algorithm proposed in this paper is higher than the traditional LRU(Least Recently Used)algorithm.Using the cache replacement algorithm proposed in this paper can improve the performance of the system cache. 展开更多
关键词 Disk resident database real-time database main memory database internet of things industrial process control
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LIMITED MEMORY BFGS METHOD BY USING LINEAR INDEPENDENT SEARCH DIRECTIONS
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作者 倪勤 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2001年第2期236-239,共4页
The degree of numerical linear independence is proposed and discussed. Based on this linear independence theory, a modified limited memory BFGS method is deve loped. Similar to the standard limited memory method, thi... The degree of numerical linear independence is proposed and discussed. Based on this linear independence theory, a modified limited memory BFGS method is deve loped. Similar to the standard limited memory method, this new method determines the new update by applying the updating formula m times to an initial positive diagonal matrix using the m previous pairs of the change in iteration and gradient. Besides the most recent pair of the change, which guarantees the quadratic termination, the choice of the other ( m -1) pairs of the change in the new method is dependent on the degree of numerical linear independence of previous search directions. In addition, the numerical linear independence theory is further discussed and the computation of the degree of linear independence is simplified. Theoretical and numerical results show that this new modified method improves efficiently the standard limited memory method. 展开更多
关键词 unconstrained optimization limited memory method BFGS method degree of linear independence
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A LIMITED MEMORY QUASI-NEWTON METHOD FOR LARGE SCALE PROBLEM 被引量:3
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作者 邓卫兵 《Numerical Mathematics A Journal of Chinese Universities(English Series)》 SCIE 1996年第1期71-79,共9页
We study how to use the SR1 update to realize minimization methods for problems where the storage is critical. We give an update formula which generates matrices using information from the last m iterations. The numer... We study how to use the SR1 update to realize minimization methods for problems where the storage is critical. We give an update formula which generates matrices using information from the last m iterations. The numerical tests show that the method is efficent. 展开更多
关键词 LARGE SCALE PROBLEM limited memory methods SR1 formula.
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An Efficient Crash Recovery Technique for Real-Time Main Memory Database 被引量:3
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作者 XIAOYing-yuan LIUYun-sheng LIAOGuo-qiong LIANGPing 《Wuhan University Journal of Natural Sciences》 CAS 2005年第1期61-64,共4页
This paper presents an efficient recovery scheme suitable for real-time mainmemory database. In the recovery scheme, log records are stored in non-volatile RAM which is dividedinto four different partitions based on t... This paper presents an efficient recovery scheme suitable for real-time mainmemory database. In the recovery scheme, log records are stored in non-volatile RAM which is dividedinto four different partitions based on transaction types. Similarly, a main memory database isdivided into four partitions based data types. When the using ratio of log store area exceeds thethreshold value, checkpoint procedure is triggered. During executing checkpoint procedure, someuseless log records are deleted. During restart recovery after a crash, partition reloading policyis adopted to assure that critical data are reloaded and restored in advance, so that the databasesystem can be brought up before the entire database is reloaded into main memory. Therefore downtime is obvionsly reduced. Simulation experiments show our recovery scheme obviously improves thesystem performance, and does a favor to meet the dtadlints of real-time transactions. 展开更多
关键词 real-time main memory database crash recovery log scheme
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A real-time prediction method for tunnel boring machine cutter-head torque using bidirectional long short-term memory networks optimized by multi-algorithm 被引量:6
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作者 Xing Huang Quantai Zhang +4 位作者 Quansheng Liu Xuewei Liu Bin Liu Junjie Wang Xin Yin 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2022年第3期798-812,共15页
Based on data from the Jilin Water Diversion Tunnels from the Songhua River(China),an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine(TBM)cutter-head torque is presented... Based on data from the Jilin Water Diversion Tunnels from the Songhua River(China),an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine(TBM)cutter-head torque is presented.Firstly,a function excluding invalid and abnormal data is established to distinguish TBM operating state,and a feature selection method based on the SelectKBest algorithm is proposed.Accordingly,ten features that are most closely related to the cutter-head torque are selected as input variables,which,in descending order of influence,include the sum of motor torque,cutter-head power,sum of motor power,sum of motor current,advance rate,cutter-head pressure,total thrust force,penetration rate,cutter-head rotational velocity,and field penetration index.Secondly,a real-time cutterhead torque prediction model’s structure is developed,based on the bidirectional long short-term memory(BLSTM)network integrating the dropout algorithm to prevent overfitting.Then,an algorithm to optimize hyperparameters of model based on Bayesian and cross-validation is proposed.Early stopping and checkpoint algorithms are integrated to optimize the training process.Finally,a BLSTMbased real-time cutter-head torque prediction model is developed,which fully utilizes the previous time-series tunneling information.The mean absolute percentage error(MAPE)of the model in the verification section is 7.3%,implying that the presented model is suitable for real-time cutter-head torque prediction.Furthermore,an incremental learning method based on the above base model is introduced to improve the adaptability of the model during the TBM tunneling.Comparison of the prediction performance between the base and incremental learning models in the same tunneling section shows that:(1)the MAPE of the predicted results of the BLSTM-based real-time cutter-head torque prediction model remains below 10%,and both the coefficient of determination(R^(2))and correlation coefficient(r)between measured and predicted values exceed 0.95;and(2)the incremental learning method is suitable for realtime cutter-head torque prediction and can effectively improve the prediction accuracy and generalization capacity of the model during the excavation process. 展开更多
关键词 Tunnel boring machine(TBM) real-time cutter-head torque prediction Bidirectional long short-term memory (BLSTM) Bayesian optimization Multi-algorithm fusion optimization Incremental learning
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Performance Limits and Advancements in Single 2D Transition Metal Dichalcogenide Transistor
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作者 Jing Chen Ming-Yuan Sun +8 位作者 Zhen-Hua Wang Zheng Zhang Kai Zhang Shuai Wang Yu Zhang Xiaoming Wu Tian-Ling Ren Hong Liu Lin Han 《Nano-Micro Letters》 SCIE EI CAS CSCD 2024年第12期134-188,共55页
Two-dimensional(2D)transition metal dichalcogenides(TMDs)allow for atomic-scale manipulation,challenging the conventional limitations of semiconductor materials.This capability may overcome the short-channel effect,sp... Two-dimensional(2D)transition metal dichalcogenides(TMDs)allow for atomic-scale manipulation,challenging the conventional limitations of semiconductor materials.This capability may overcome the short-channel effect,sparking significant advancements in electronic devices that utilize 2D TMDs.Exploring the dimension and performance limits of transistors based on 2D TMDs has gained substantial importance.This review provides a comprehensive investigation into these limits of the single 2D-TMD transistor.It delves into the impacts of miniaturization,including the reduction of channel length,gate length,source/drain contact length,and dielectric thickness on transistor operation and performance.In addition,this review provides a detailed analysis of performance parameters such as source/drain contact resistance,subthreshold swing,hysteresis loop,carrier mobility,on/off ratio,and the development of p-type and single logic transistors.This review details the two logical expressions of the single 2D-TMD logic transistor,including current and voltage.It also emphasizes the role of 2D TMD-based transistors as memory devices,focusing on enhancing memory operation speed,endurance,data retention,and extinction ratio,as well as reducing energy consumption in memory devices functioning as artificial synapses.This review demonstrates the two calculating methods for dynamic energy consumption of 2D synaptic devices.This review not only summarizes the current state of the art in this field but also highlights potential future research directions and applications.It underscores the anticipated challenges,opportunities,and potential solutions in navigating the dimension and performance boundaries of 2D transistors. 展开更多
关键词 Two-dimensional transistors Dimension limits Performance limits memory devices Artificial synapses
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Improvement Design for Distributed Real-Time Stream Processing Systems 被引量:4
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作者 Wei Jiang Liu-Gen Xu +1 位作者 Hai-Bo Hu Yue Ma 《Journal of Electronic Science and Technology》 CAS CSCD 2019年第1期3-12,共10页
In the era of Big Data, typical architecture of distributed real-time stream processing systems is the combination of Flume, Kafka, and Storm. As a kind of distributed message system, Kafka has the characteristics of ... In the era of Big Data, typical architecture of distributed real-time stream processing systems is the combination of Flume, Kafka, and Storm. As a kind of distributed message system, Kafka has the characteristics of horizontal scalability and high throughput, which is manly deployed in many areas in order to address the problem of speed mismatch between message producers and consumers. When using Kafka, we need to quickly receive data sent by producers. In addition, we need to send data to consumers quickly. Therefore, the performance of Kafka is of critical importance to the performance of the whole stream processing system. In this paper, we propose the improved design of real-time stream processing systems, and focus on improving the Kafka's data loading process.We use Kafka cat to transfer data from the source to Kafka topic directly, which can reduce the network transmission. We also utilize the memory file system to accelerate the process of data loading, which can address the bottleneck and performance problems caused by disk I/O. Extensive experiments are conducted to evaluate the performance, which show the superiority of our improved design. 展开更多
关键词 Kafka Kafka CAT memory FILE SYSTEM MESSAGE QUEUE real-time STREAM processing SYSTEM
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Real-time Design Constraints in Implementing Active Vibration Control Algorithms 被引量:1
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作者 Mohammed Alamgir Hossain Mohammad Osman Tokhi 《International Journal of Automation and computing》 EI 2006年第3期252-262,共11页
Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorith... Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorithm so as to exploit special features of the hardware and avoid associated architecture shortcomings. This paper presents an investigation into the analysis and design mechanisms that will lead to reduction in the execution time in implementing real-time control algorithms. The proposed mechanisms are exemplified by means of one algorithm, which demonstrates their applicability to real-time applications. An active vibration control (AVC) algorithm for a flexible beam system simulated using the finite difference (FD) method is considered to demonstrate the effectiveness of the proposed methods. A comparative performance evaluation of the proposed design mechanisms is presented and discussed through a set of experiments. 展开更多
关键词 Algorithm analysis and design active vibration control (AVC) flexible beam system real-time control memory management.
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Advantages and Limitations of Translation Memory in Translation Teaching
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作者 黄薇 《海外英语》 2018年第15期149-150,共2页
With the rapid development of translation technology, great changes have taken place in translation teaching. The traditional translation teaching can not meet the needs of the market, and the market is in urgent need... With the rapid development of translation technology, great changes have taken place in translation teaching. The traditional translation teaching can not meet the needs of the market, and the market is in urgent need of translators who are proficient in information technology. Therefore, translation memory is gradually applied to translation teaching. Translation teaching has been liberated by translation memory to some extent. And translation memory makes translation teaching avoid a lot of repeated knowledge and processes of translation. It is no doubt that translation memory has some limitations. As a result, the advantages and limitations of translation memory in translation teaching are discussed. 展开更多
关键词 Computer-aided Translation Translation memory Translation Teaching Advantages limitATIONS
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A Review of Capacity Limitation From Visual Perception to Short-Term Visual Memory of a Single Curved Contour
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作者 Koji Sakai 《Psychology Research》 2017年第7期361-379,共19页
关键词 容量限制 视觉感知 曲线轮廓 视觉记忆 物理学实验 检测理论 轮廓识别 复杂曲面
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时移电阻率法三维反演研究
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作者 陶涛 韩鹏 +1 位作者 马欢 谭捍东 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2024年第10期3973-3988,共16页
时移电阻率法是监测浅地表物性参数动态变化的有效方法之一.在实际应用中,由于观测噪声随时间变化,基于不同时刻观测数据单独反演所得的电性结构变化可能存在虚假信息.这些时变噪声引起的虚假信息增加了时移电阻率法解释的难度.本文通... 时移电阻率法是监测浅地表物性参数动态变化的有效方法之一.在实际应用中,由于观测噪声随时间变化,基于不同时刻观测数据单独反演所得的电性结构变化可能存在虚假信息.这些时变噪声引起的虚假信息增加了时移电阻率法解释的难度.本文通过在传统的正则化反演目标函数中增加时移约束来调控相邻时刻同一位置的电性差异,以抑制时变噪声产生的虚假变化.在此基础上,采用有限内存拟牛顿法实现了时移电阻率法三维反演.合成数据反演结果表明,相对于不同时刻监测数据单独反演的结果,时移反演可更好的抑制噪声影响,获取更准确的电性结构及其动态变化.野外实验数据反演结果表明,时移反演能更真实刻画实验区域的电性结构变化.上述结果表明,时移反演可以更好的压制由背景噪声引起的假异常,提高反演结果的准确性和解释的可靠性.本研究为时移电阻率法监测浅地表电性结构动态变化提供了一种有效途径. 展开更多
关键词 时移电阻率法 三维反演 时移约束 有限内存拟牛顿法 电性结构监测
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面向有限传感器的建筑冷负荷深度学习预测模型构建
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作者 许晓群 王翠灵 +2 位作者 库慧益 王宝龙 俞忠民 《暖通空调》 2024年第10期52-59,共8页
建筑冷负荷准确预测是实现建筑空调系统基于模型的优化控制和建筑节能的重要基础。面向实际建筑建立准确的冷负荷预测模型是一个十分困难的系统工程,包括传感器安装、数据的通信和读取、数据预处理和模型识别。在实际工程中,传感器安装... 建筑冷负荷准确预测是实现建筑空调系统基于模型的优化控制和建筑节能的重要基础。面向实际建筑建立准确的冷负荷预测模型是一个十分困难的系统工程,包括传感器安装、数据的通信和读取、数据预处理和模型识别。在实际工程中,传感器安装数量和种类有限或者运行过程被损坏使得获取必要的模型识别数据十分困难,同时实际建筑复杂的现场情况使得建立物理模型困难。针对以上2个问题,本文构建了面向有限传感器的建筑冷负荷预测深度学习模型,并结合实际案例,分析了冷负荷的主要影响因素,采用传感器替代、补充和数据插值的方法构建模型输入集,利用长短期记忆模型建立了高性能的冷负荷预测模型,并分析了不同特征量输入集下的模型性能。在烟厂厂房的冷负荷预测中,利用本文构建的冷负荷预测模型识别流程建立的长短期记忆模型的平均绝对百分比误差(MAPE)为9.09%。 展开更多
关键词 冷负荷预测 长短期记忆模型 有限传感器 深度学习模型 特征分析
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Memory consolidation during sleep and adult hippocampal neurogenesis 被引量:5
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作者 Iyo Koyanagi Katherine G.Akers +3 位作者 Pablo Vergara Sakthivel Srinivasan Takeshi Sakurai Masanori Sakaguchi 《Neural Regeneration Research》 SCIE CAS CSCD 2019年第1期20-23,共4页
In anticipation of the massive burden of neurodegenerative disease within super-aged societies, great efforts have been made to utilize neural stem and progenitor cells for regenerative medicine. The capacity of intri... In anticipation of the massive burden of neurodegenerative disease within super-aged societies, great efforts have been made to utilize neural stem and progenitor cells for regenerative medicine. The capacity of intrinsic neural stem and progenitor cells to regenerate damaged brain tissue remains unclear, due in part to the lack of knowledge about how these newly born neurons integrate into functional circuitry. As sizable integration of adult-born neurons naturally occurs in the dentate gyrus region of the hippocampus, clarifying the mechanisms of this process could provide insights for applying neural stem and progenitor cells in clinical settings. There is convincing evidence of functional correlations between adult-born neurons and memory consolidation and sleep; therefore, we describe some new advances that were left untouched in our recent review. 展开更多
关键词 rapid eye movement sleep sleep deprivation OPTOGENETICS real-time sleep analysis HIPPOCAMPUS fear memory synaptic plasticity memory processing
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Aero-Elastic Flutter Characteristics of Laminated Composite Panel Embedded with Shape Memory Alloy Wires
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作者 Dengqing Cao Chonghui Shao +1 位作者 Yuqian Xu Hai Zhao 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2017年第5期32-38,共7页
The effects of shape memory alloy( SMA) wires on the natural frequency,flutter boundary and amplitude of limit cycle oscillation( LCO) of a laminated composite panel are investigated. The classical plate theory as wel... The effects of shape memory alloy( SMA) wires on the natural frequency,flutter boundary and amplitude of limit cycle oscillation( LCO) of a laminated composite panel are investigated. The classical plate theory as well as von-Karman strain-displacement relation are used to formulate the nonlinear dynamic model of the smart laminated panel. The aerodynamic loadings are simulated by the third order piston theory. The thermomechanical behavior of SMA wires is estimated according to one-dimensional Brinson SMA model. The effects of SMA wires temperature,pre-strain,volume fraction and orientation on flutter boundary and amplitude of LCO of the panel are analyzed in detail. 展开更多
关键词 PANEL FLUTTER shape memory alloy LAMINATES limit cycle OSCILLATION
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Real-time interactive motion control of virtual human in virtual maintenance based on limited information
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作者 Xiangyang Li Zhili Zhang +1 位作者 Feng Liang Zhao Tong 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2015年第2期16-39,共24页
In order to provide a simple and efficient approach to perform the real-time interactive motion control of virtual human in virtual maintenance environment(VME),the motion control method of virtual human based on limi... In order to provide a simple and efficient approach to perform the real-time interactive motion control of virtual human in virtual maintenance environment(VME),the motion control method of virtual human based on limited input information is proposed.With the space position tracking system with only one sensor the action sequences and motion models of virtual human,the human motions and hand actions in VME are driven by the sensor data in stages and in real time through the transmission condition control in the process of maintenance operation.And the input data and information is processed based on the method of Kalman filtering and wavelet transforming to improve the control effects.An experimental VME is also established to validate the control efficiency,and the experiment results show that the space motion control of virtual human in VME can be performed based on limited information with proposed control strategy. 展开更多
关键词 real-time interactive motion control virtual human virtual maintenance virtual maintenance environment limited information
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Threshold switching uniformity in In_2Se_3 nanowire-based phase change memory
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作者 陈键 杜刚 刘晓彦 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第5期567-571,共5页
The uniformity of threshold voltage and threshold current in the In2 Se3 nanowire-based phase change memory (PCM) devices is investigated. Based on the trap-limited transport model, amorphous layer thickness, trap d... The uniformity of threshold voltage and threshold current in the In2 Se3 nanowire-based phase change memory (PCM) devices is investigated. Based on the trap-limited transport model, amorphous layer thickness, trap density, and trap depth are considered to clarify their influences upon the threshold voltage and threshold current through simulations. 展开更多
关键词 phase change memory NANOWIRE trap-limited model threshold voltage
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基于Cuk变换器的永磁记忆电机调磁控制 被引量:2
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作者 耿强 任天亮 李新旻 《天津工业大学学报》 CAS 北大核心 2023年第1期36-43,51,共9页
针对永磁记忆电机(permanent magnet memory motor,PM-MM)调磁控制中存在的电压限制问题,提出一种基于Cuk变换器的控制策略。首先分析随着PM-MM调磁速度的增加,电压限制问题对系统稳定性的影响;在此基础上利用Cuk变换器的原理,结合PM-M... 针对永磁记忆电机(permanent magnet memory motor,PM-MM)调磁控制中存在的电压限制问题,提出一种基于Cuk变换器的控制策略。首先分析随着PM-MM调磁速度的增加,电压限制问题对系统稳定性的影响;在此基础上利用Cuk变换器的原理,结合PM-MM的数学模型,针对调磁过程中的电压限制问题,提出了一种基于Cuk变换器的PM-MM调磁控制策略,并以一台20 kW的PM-MM为被控对象进行仿真研究。结果表明:所提策略能有效补偿电机调磁过程中所需的电压,大幅抑制了充磁过程中的转矩及转速的波动,提高了系统的稳定性。 展开更多
关键词 永磁记忆电机 CUK变换器 电压限制 调磁控制
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时移可控源音频大地电磁法三维反演研究 被引量:3
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作者 胡琪璇 谭捍东 于翠 《现代地质》 CAS CSCD 北大核心 2023年第1期90-98,共9页
时移地球物理监测是观测地下物性参数随时间动态变化的有效方法。地球物理反演结果会受到测量误差、测量环境的噪声污染以及地球物理反演多解性等系统性因素的影响。如果对时移地球物理数据进行不同时刻数据的单独反演,可能会导致不同... 时移地球物理监测是观测地下物性参数随时间动态变化的有效方法。地球物理反演结果会受到测量误差、测量环境的噪声污染以及地球物理反演多解性等系统性因素的影响。如果对时移地球物理数据进行不同时刻数据的单独反演,可能会导致不同时刻的反演结果可对比性差,从而影响时移地球物理的监测效果。针对可控源音频大地电磁法在监测领域的实际需求,将不同时刻的观测数据放在一起反演,不同时刻的电阻率模型相互约束,实现了时移可控源音频大地电磁法三维反演。设计三种类型模型进行合成数据的单独反演和时移反演对比试算,验证了时移反演算法的有效性。反演结果表明:通过加入相邻时刻模型约束,时移反演可以更好地聚焦异常体的位置,降低噪声以及测量环境变化对反演结果的影响,防止反演伪影掩盖真实的地下变化。研究成果为时移可控源音频大地电磁法的实际应用奠定了良好基础。 展开更多
关键词 时移可控源音频大地电磁法 有限内存拟牛顿反演 时移约束
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基于LM-RLS和渐消因子EKF算法的锂电池SOC估计 被引量:1
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作者 杨潇 王顺利 +3 位作者 徐文华 于春梅 乔家璐 黄俊涵 《控制工程》 CSCD 北大核心 2023年第5期849-855,共7页
为提高复杂工作环境下锂电池荷电状态估计精度,以三元锂离子电池为研究对象,采用限定记忆递推最小二乘法与渐消因子扩展卡尔曼滤波算法相结合进行荷电状态估计。以有限组数据计算当前时刻模型参数,解决数据饱和问题。在扩展卡尔曼滤波... 为提高复杂工作环境下锂电池荷电状态估计精度,以三元锂离子电池为研究对象,采用限定记忆递推最小二乘法与渐消因子扩展卡尔曼滤波算法相结合进行荷电状态估计。以有限组数据计算当前时刻模型参数,解决数据饱和问题。在扩展卡尔曼滤波算法中加入渐消因子,弱化旧数据的影响,实时调整误差协方差矩阵。为验证算法的合理性,建立二阶RC等效模型,对不同工况进行荷电状态估计。验证结果表明,算法估计精确度高且稳定性好。系统稳定后,HPPC、BBDST工况中的荷电状态最大估算误差分别为0.0144和0.0085,且波动范围较小,验证了改进算法估计锂电池荷电状态时的良好性能。 展开更多
关键词 锂电池 二阶RC等效模型 荷电状态 限定记忆递推最小二乘法 渐消因子
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LIMITED MEMORY BFGS METHOD FOR NONLINEAR MONOTONE EQUATIONS 被引量:3
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作者 Weijun Zhou Donghui Li 《Journal of Computational Mathematics》 SCIE EI CSCD 2007年第1期89-96,共8页
In this paper, we propose an algorithm for solving nonlinear monotone equations by combining the limited memory BFGS method (L-BFGS) with a projection method. We show that the method is globally convergent if the eq... In this paper, we propose an algorithm for solving nonlinear monotone equations by combining the limited memory BFGS method (L-BFGS) with a projection method. We show that the method is globally convergent if the equation involves a Lipschitz continuous monotone function. We also present some preliminary numerical results. 展开更多
关键词 limited memory BFGS method Monotone function Projection method.
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