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A Practical Method for Quickly Evaluating Program Optimizations [chapter]

Grigori Fursin, Albert Cohen, Michael O'Boyle, Olivier Temam
2005 Lecture Notes in Computer Science  
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations.  ...  Instead of using a full run to evaluate a single program optimization, we take advantage of periods of stable performance, called phases.  ...  So, while these studies demonstrate the potential for iterative optimization, few provide a practical approach for effectively applying iterative optimization.  ... 
doi:10.1007/11587514_4 fatcat:vemha57hszbqtkfgs4ptjp7zsy

Fast Evaluation of Quadratic Control-Lyapunov Policy

Yang Wang, Stephen Boyd
2011 IEEE Transactions on Control Systems Technology  
For small problems this QP can be solved explicitly; for larger problems an online optimization method can be used.  ...  The evaluation of a control-Lyapunov policy, with quadratic Lyapunov function, requires the solution of a quadratic program (QP) at each time step.  ...  (e.g., a quadratically constrained quadratic program (QCQP) in the second case), but is still small and convex, and can be solved quickly for the same reasons and using similar methods.  ... 
doi:10.1109/tcst.2010.2056371 fatcat:jeo4eokxyvee3n6o2flci637ay

Guest Editorial: Embedded Multicore Systems and Applications

Jenq Kuen Lee, Albert Cohen, Roy Ju, Kuan-Ching Li
2015 Journal of Signal Processing Systems  
Finally, they propose an auto-tuning method for quickly approaching the optimal configuration of the SCC based on the targeted metric.  ...  The paper evaluates a Ray-Tracing application with the proposed method and shows significant performance gain.  ...  Finally, they propose an auto-tuning method for quickly approaching the optimal configuration of the SCC based on the targeted metric.  ... 
doi:10.1007/s11265-015-0970-z fatcat:cx3farfknjh6rkj7alpyh46l2q

Multi-Period Trading via Convex Optimization

Stephen Boyd
2017 Foundations and Trends® in Optimization  
In a nutshell, our target reader is a quantitative trader, or someone who works with or for, or employs, one. •- New optimization formulations for practical problems • Applications of optimization in:  ...  For practical implementation, various approximations of the dynamic programming approach are often used, such as approximate dynamic programming, or even simpler formulations that generalize the single-period  ... 
doi:10.1561/2400000023 fatcat:bs5smg23kzhjnpnorf2gm35r6m

Page 89 of Management Science Vol. 3, Issue 1 [page]

1956 Management Science  
Since the requirements fluctuate from day to day only within fairly narrow limits this optimal program can be computed quickly by means of the dual method using the optimal program of the previous day  ...  In an optimal tableau, such as Table 6, these evaluators are the solution values of the variables for the dual problem of linear programming (see [2] and the references therein) and as such 1 A planning  ... 

Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model

Heng Cao, Qianhui Gao, Wen-Tsao Pan
2022 Discrete Dynamics in Nature and Society  
It adopts a web-style tour method.  ...  the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values  ...  system. (2) e use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3  ... 
doi:10.1155/2022/8525531 fatcat:huofpdgiebc5xnauw6hmqad66y

Quick and Practical Run-Time Evaluation of Multiple Program Optimizations [chapter]

Grigori Fursin, Albert Cohen, Michael O'Boyle, Olivier Temam
2007 Lecture Notes in Computer Science  
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations.  ...  Instead of using a full run to evaluate a single program optimization, we take advantage of periods of stable performance, called phases.  ...  We would also like to thank all our colleagues and reviewers for their comments.  ... 
doi:10.1007/978-3-540-71528-3_4 fatcat:3nvplajbnvc25bovdoky76eoua

How to Integrate Financial Big Data and FinTech in a Real Application in Banks: A Case of the Modeling of Asset Allocation for Products Based on Data

Jinwu Zhuo, Xinmiao Li, Changrui Yu
2020 Information  
An asset allocation optimization model for key clients and financial products is developed and deployed on a business platform by compiling a program to a module using MATLAB to show how to integrate financial  ...  big data and fintech in a real application for a bank.  ...  A method that could be used to evaluate the results is to sum the percentages of each column in the matrix result.  ... 
doi:10.3390/info11100460 fatcat:xa2qb6cbcze75b3kp4eown3aqm

Enhanced Linear Programming Approaches to Sudoku

Shou-yu TONG, Fu-zhong CONG, Zhi-xia WANG
2017 DEStech Transactions on Engineering and Technology Research  
Traditionally, people used a linear programming method, which can solve most Sudoku puzzles quickly but sometimes may fail to find the correct solutions.  ...  We introduced several enhanced linear programming methods to improve the rate of success.  ...  As a linear programming method, Linpro can find the correct solutions quickly for most Sudoku puzzles. However, the performance of Linpro is not good enough, namely, sometimes it will fail.  ... 
doi:10.12783/dtetr/icamm2016/7333 fatcat:2fs5nt35efgahhmpqanoahbxae

Page 1 of The Journal of the Operational Research Society Vol. 52, Issue 3 [page]

2001 The Journal of the Operational Research Society  
If the termination condition is satisfied, add all generated Gomory cuts to [PLP], and solve the modified [PLP] (using a solution method for mixed integer linear e programs), and stop.  ...  Note that optimal solution algorithms may not be appropriate tools for practical problems because of the computational difficulty of the problem.  ... 

Page 1588 of American Journal of Public Health Vol. 45, Issue 12 [page]

1955 American Journal of Public Health  
recognized as optimalFor nurses, as well as for other pro- fessional groups, it takes time to learn skills in this field and to shift from using one type of teaching method to another.  ...  partum groups; a new complete program for public health nurses; and a training program for hospital nurses for work with groups of expectant parents.  ... 

A Practical Teaching Mode for Colleges Supported by Artificial Intelligence

Cuibi Yang, Shuliang Huan, Yong Yang
2020 International Journal of Emerging Technologies in Learning (iJET)  
The research re-sults provide a new mode of practical teaching that covers all dimensions and promotes personalized and collaborative learning.  ...  This paper mainly creates an AI-based practical teaching mode for cultural industry management major of Chongqing Three Gorges University.  ...  Intelligent evaluation for the operation of practice projects: the platform adopts a lightweight non-aligned convolutional neural network model to achieve intelligent evaluation of the practical operation  ... 
doi:10.3991/ijet.v15i17.16737 fatcat:4kelfnqblbfabpld2glhicps44

A Multiagent-Based Particle Swarm Optimization Approach for Optimal Reactive Power Dispatch

B. Zhao, C.X. Guo, Y.J. Cao
2005 IEEE Transactions on Power Systems  
MAPSO applied for optimal reactive power dispatch is evaluated on an IEEE 30-bus power system and a practical 118-bus power system.  ...  The method integrates multi-agent system (MAS) and particle swarm optimization algorithm (PSO). An agent in MAPSO represents a particle to PSO and a candidate solution to the optimization problem.  ...  MAPSO applied for optimal reactive power is evaluated on an IEEE 30-bus power system and a practical 118bus power system.  ... 
doi:10.1109/tpwrs.2005.846064 fatcat:dkqszynk4rci7na6e6edl66pae

Accurate static branch prediction by value range propagation

Jason R. C. Patterson
1995 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation - PLDI '95  
This method tracks the weighted value ranges of variables through a program, much like constant propagation. These value ranges may be either numeric or symbolic in nature.  ...  The ability to predict at compile time the likelihood of a particular branch being taken provides valuable information for several optimizations, including global instruction scheduling, code layout, function  ...  John Gough, for providing many helpful comments during this work and for reviewing various drafts of this paper.  ... 
doi:10.1145/207110.207117 dblp:conf/pldi/Patterson95 fatcat:d2vuak3okbc4tk3iflrdufqspu

Accurate static branch prediction by value range propagation

Jason R. C. Patterson
1995 SIGPLAN notices  
This method tracks the weighted value ranges of variables through a program, much like constant propagation. These value ranges may be either numeric or symbolic in nature.  ...  The ability to predict at compile time the likelihood of a particular branch being taken provides valuable information for several optimizations, including global instruction scheduling, code layout, function  ...  John Gough, for providing many helpful comments during this work and for reviewing various drafts of this paper.  ... 
doi:10.1145/223428.207117 fatcat:3n4toyqpejf4fijjynacqlmiei
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