Ch10算法设计技术(AlgorithmDesignTechniques)10.1穷举法（ExhaustiveAlgorithm）10.2递推法与迭代法（RecurrenceandIterativeAlgorithm）10.3递归（RecursiveAlgorithm）10.4逐步求精（StepwiseRefinement）10.5分治法（DivideandConquer）10.6贪心法（GreedyAlgorithm）10.7回溯法（BacktrackingAlgorithm）10.8动态规划法（Dynamic...
[编程珠玑]algorithm design techniques 1.Save state to avoid recomputation 2.Preprocess information into data structures 3.Divide-and-conquer algorithms 4.Scanning algorithms 5.Cumulatives
Computer aided drug design (CADD) and structure based drug design (SBDD) are important methods in searching for viable small molecule drug candidates and protein function inhibitors. The advent and use of machine learning (ML)1, AI techniques including neural networks2, and large computing ...
In addition, the National Aeronautics and Space Administration (NASA) used genetic programming in the design of antennas for the Space Technology 5 Project, which involved three “micro-satellites” launched in 2006 for monitoring the effects of solar activity on Earth’s magnetosphere. Britannica ...
Third, we compare Admixture, FRAPPE, and least-squares using simulated datasets with a factorial design varying dataset properties in G. Fourth, we compare Admixture and least-squares using real population allele frequencies from the HapMap Phase 3 project. Finally, we compare the results of ...
In order to assist the initializa- scheduling problem (JSP) is one of the most difficult problems in tion method and assure the algorithm perform well, we design an this area. It consists of scheduling a set of jobs on a set of machines improved chromosome representation method ‘‘...
Section 5 presents the hardware XSG design of the 3D reconstruction process. In Section 6, we present the experimental and performance evaluation results. Finally, conclusions and future works are presented in the last section. 2. Related Work and the Proposed Algorithm 2.1. Related Work The ...
Extensive experiments have been conducted to design the parameters in the proposed CS algorithm and Experimental results demonstrate that higher localization precision with less iterations can be achieved when the parameters setting of the proposed CS algorithm are as follows, αmin and αmax are set ...
Techniques like Genetic Algorithm [95], Particle Swarm optimization[96]; Simulated Annealing [97], etc. are natural candidates for such applications and have been widely used in proposing good solutions using some aspect of object detection and tracking problems. This section discusses growth of ...
In recent years, rapid developments of quantum computer are witnessed in both the hardware and the algorithm domains, making it necessary to have an updated review of some major techniques and applications in quantum algorithm design. In this survey as well as tutorial article, the authors first ...