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A Practical Method for Quickly Evaluating Program Optimizations
[chapter]
2005
Lecture Notes in Computer Science
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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
2011
IEEE Transactions on Control Systems Technology
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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
2015
Journal of Signal Processing Systems
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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
2017
Foundations and Trends® in Optimization
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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
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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
2022
Discrete Dynamics in Nature and Society
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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]
2007
Lecture Notes in Computer Science
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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
2020
Information
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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
2017
DEStech Transactions on Engineering and Technology Research
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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
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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
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recognized as optimal.®
For 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
2020
International Journal of Emerging Technologies in Learning (iJET)
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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
2005
IEEE Transactions on Power Systems
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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
1995
Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation - PLDI '95
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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
1995
SIGPLAN notices
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
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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