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Journal articles on the topic 'Computer algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Pinkan Indriani Daulay and Yahfizham Yahfizham. "Penerapan Algoritma Pemrograman dalam Pembelajaran Ilmu Komputer." Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika 1, no. 6 (2023): 91–103. http://dx.doi.org/10.61132/arjuna.v1i6.297.

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Algorithms are at the core of computer science and play an important role in computer programming. Programming aims to tell the computer to perform certain functions. Computer instructions provide a set of instructions written in a language that the computer can understand. Programming algorithms consist of various detailed sequential steps aimed at solving various computer programming problems. A computer is an electronic device capable of receiving, processing, storing and creating information. In general, a computer is a machine that is used to perform various tasks, such as data processing

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Mitra, Manu. "Algorithms in Computer Systems." Frontiers of Supercomputing 2, no. 2 (2019): 1–3. https://doi.org/10.31424/icses.fos.

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Basic definition of algorithm in mathematics is step by step procedure to solve a problem. Algorithms are basic and most important area in a writing an error free programs. Fig. 1 illustrates flow chart of a computer algorithm. One of the most essential thing to remember is that there can be various algorithms for the same problem but some algorithms are much better than others. Technically, algorithm and programs are actually not the same thing, they differ at the level of precision. It is often expressed loosely defined format called “pseudo code” which matches programming langua

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Xu, Zheng Guang, Chen Chen, and Xu Hong Liu. "An Efficient View-Point Invariant Detector and Descriptor." Advanced Materials Research 659 (January 2013): 143–48. http://dx.doi.org/10.4028/www.scientific.net/amr.659.143.

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Many computer vision applications need keypoint correspondence between images under different view conditions. Generally speaking, traditional algorithms target applications with either good performance in invariance to affine transformation or speed of computation. Nowadays, the widely usage of computer vision algorithms on handle devices such as mobile phones and embedded devices with low memory and computation capability has proposed a target of making descriptors faster to computer and more compact while remaining robust to affine transformation and noise. To best address the whole process

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Mitra, Manu. "Algorithms and Machine Learning." American Research Journal of Electronics and Communication Engineering 1, no. 1 (2019): 1–5. https://doi.org/10.5281/zenodo.3479371.

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Machine learning is a model that learns patterns in data and then calculates similar patterns in new data. For instance, if you want to categorize children’s books, it would mean that instead of setting up exact instructions for what establishes a children’s books, experts can set the computer hundreds of examples of children’s books. Then the computer find the pattern in that books and uses that pattern to recognize future books in that particular category. However, Machine Learning is actually a subset of artificial intelligence that assists computers to learn without expli

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Jattana, Manpreet Singh. "Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm." Physica Scripta 99, no. 9 (2024): 095117. http://dx.doi.org/10.1088/1402-4896/ad6aea.

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Abstract Hybrid algorithms that combine quantum and classical resources have become commonplace in quantum computing. The variational quantum eigensolver (VQE) is routinely used to solve prototype problems. Currently, hybrid algorithms use no more than one kind of quantum computer connected to a classical computer. In this work, a novel triple-hybrid algorithm combines the effective use of a classical computer, a gate-based quantum computer, and a quantum annealer. The solution of a graph coloring problem found using a quantum annealer reduces the resources needed from a gate-based quantum com

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Ataeva, Gulsina Isroilovna, and Lola Dzhalolovna Yodgorova. "METHODS AND ALGORITHMS OF COMPUTER GRAPHICS." Scientific Reports of Bukhara State University 4, no. 1 (2020): 43–47. http://dx.doi.org/10.52297/2181-1466/2020/4/1/3.

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Methods and algorithms of computer graphics are considered in the article. Implementation of transformation of graphic objects by means of operations of transfer, scaling, rotation, the types of geometric models are considered. Methods of computer graphics include methods of converting graphic objects, representing (scanning) lines in raster form, selecting a window, removing hidden lines, projecting, painting images.

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Cropper, Andrew. "The Automatic Computer Scientist." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (2023): 15434. http://dx.doi.org/10.1609/aaai.v37i13.26801.

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Algorithms are ubiquitous: they track our sleep, help us find cheap flights, and even help us see black holes. However, designing novel algorithms is extremely difficult, and we do not have efficient algorithms for many fundamental problems. The goal of my research is to accelerate algorithm discovery by building an automatic computer scientist. To work towards this goal, my research focuses on inductive logic programming, a form of machine learning in which my collaborators and I have demonstrated major advances in automated algorithm discovery over the past five years. In this talk and paper

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Moosakhah, Fatemeh, and Amir Massoud Bidgoli. "Congestion Control in Computer Networks with a New Hybrid Intelligent Algorithm." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 8 (2014): 4688–706. http://dx.doi.org/10.24297/ijct.v13i8.7068.

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With invention of computer networks, transferring data from one computer to another became possible, but as the number of computers that transfer data to each other increased and common communication channel bandwidth among them in a network limited, has led to a phenomenon called congestion, so that some of data packets would be dropped and never arrive to destination. Different algorithms have been proposed for overcoming congestion. These are divided into two general groups: 1- flow based algorithms and 2- class based algorithms. In present study, using class based algorithm with optimizati

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Handayani, Dwipa, and Abrar Hiswara. "KAMUS ISTILAH ILMU KOMPUTER DENGAN ALGORITMA BOYER MOORE BERBASIS WEB." Jurnal Informatika 19, no. 2 (2019): 90–97. http://dx.doi.org/10.30873/ji.v19i2.1519.

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A dictionary is a reference book that contains words and phrases that are usually arranged in alphabetical order along with an explanation of their meaning, usage and translation and function to help recognize new terms. The field of computer science certainly has specific terms related to computers, so it is needed a dictionary of computer terms, currently the existing dictionary is still conventional in its use ineffective and inefficient. The design and manufacture of applications using algorithms by performing a sequence of logical steps in solving problems that are arranged systematically

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Pelter, Michele M., and Mary G. Carey. "ECG Computer Algorithms." American Journal of Critical Care 17, no. 6 (2008): 581–82. http://dx.doi.org/10.4037/ajcc2008.17.6.581.

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Kaltofen, E. "Computer Algebra Algorithms." Annual Review of Computer Science 2, no. 1 (1987): 91–118. http://dx.doi.org/10.1146/annurev.cs.02.060187.000515.

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Schlingemann, D. "Cluster states, algorithms and graphs." Quantum Information and Computation 4, no. 4 (2004): 287–324. http://dx.doi.org/10.26421/qic4.4-4.

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The present paper is concerned with the concept of the one-way quantum computer, beyond binary-systems, and its relation to the concept of stabilizer quantum codes. This relation is exploited to analyze a particular class of quantum algorithms, called graph algorithms, which correspond in the binary case to the Clifford group part of a network and which can efficiently be implemented on a one-way quantum computer. These algorithms can ``completely be solved" in the sense that the manipulation of quantum states in each step can be computed explicitly. Graph algorithms are precisely those which

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He, Bo. "Fast Distributed Algorithm of Mining Global Frequent Itemsets." Advanced Materials Research 219-220 (March 2011): 191–94. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.191.

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Most distributed algorithms of mining global frequent itemsets worked on net structure network and adopted Apriori-like algorithm. Whereas there were some problems in these algorithms: a lot of candidate itemsets and heavy communication traffic. Aiming at these problems, this paper proposed a fast distributed algorithm of mining global frequent itemsets, namely, FDMGFI algorithm, which set centre node. FDMGFI algorithm made computer nodes compute local frequent itemsets independently with FP-growth algorithm, then the centre node exchanged data with other computer nodes and combined, finally,

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Lee, Joo, Yue Duan, Jae Oh, et al. "Social Network Based Reputation Computation and Document Classification." JUCS - Journal of Universal Computer Science 18, no. (4) (2012): 532–53. https://doi.org/10.3217/jucs-018-04-0532.

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We develop two social network based algorithms that automatically compute author reputation from a collection of textual documents. We first extract keyword reference behaviors of the authors to construct a social network, which represents relationships among the authors in terms of information reference behavior. With this network, we apply the two algorithms: the first computes each author's reputation value considering only direct reference and the second utilizes indirect reference recursively. We compare the reputation values computed by the two algorithms and reputation ratings given by

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Singh, Varun, Varun Sharma, and Vasu Bachchas. "Sudoku Solving Using Quantum Computer." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 622–29. http://dx.doi.org/10.22214/ijraset.2023.49094.

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Abstract: We use ability of quantum computing such as superposition and entanglement to solve the sudoku. In recent years, quantum computers have shown promise as a new technology for solving complex problems in various fields, including optimization and cryptography. In this paper, we investigate the potential of quantum computers for solving Sudoku puzzles. We present a quantum algorithm for solving Sudoku puzzles, and compare its performance to classical algorithms. Our results show that the quantum algorithm outperforms classical algorithms in terms of both speed and accuracy, and provides

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García-Sánchez, Pedro A., Christopher O’Neill, and Gautam Webb. "The computation of factorization invariants for affine semigroups." Journal of Algebra and Its Applications 18, no. 01 (2019): 1950019. http://dx.doi.org/10.1142/s0219498819500191.

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We present several new algorithms for computing factorization invariant values over affine semigroups. In particular, we give (i) the first known algorithm to compute the delta set of any affine semigroup, (ii) an improved method of computing the tame degree of an affine semigroup, and (iii) a dynamic algorithm to compute catenary degrees of affine semigroup elements. Our algorithms rely on theoretical results from combinatorial commutative algebra involving Gröbner bases, Hilbert bases, and other standard techniques. Implementation in the computer algebra system GAP is discussed.

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Bunin, Y. V., E. V. Vakulik, R. N. Mikhaylusov, V. V. Negoduyko, K. S. Smelyakov, and O. V. Yasinsky. "Estimation of lung standing size with the application of computer vision algorithms." Experimental and Clinical Medicine 89, no. 4 (2020): 87–94. http://dx.doi.org/10.35339/ekm.2020.89.04.13.

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Evaluation of spiral computed tomography data is important to improve the diagnosis of gunshot wounds and the development of further surgical tactics. The aim of the work is to improve the results of the diagnosis of foreign bodies in the lungs by using computer vision algorithms. Image gradation correction, interval segmentation, threshold segmentation, three-dimensional wave method, principal components method are used as a computer vision device. The use of computer vision algorithm allows to clearly determine the size of the foreign body of the lung with an error of 6.8 to 7.2%, which is i

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Popov, Oleksandr, and Oleksiy Chystiakov. "On the Efficiency of Algorithms with Multi-level Parallelism." Physico-mathematical modelling and informational technologies, no. 33 (September 5, 2021): 133–37. http://dx.doi.org/10.15407/fmmit2021.33.133.

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The paper investigates the efficiency of algorithms for solving computational mathematics problems that use a multilevel model of parallel computing on heterogeneous computer systems. A methodology for estimating the acceleration of algorithms for computers using a multilevel model of parallel computing is proposed. As an example, the parallel algorithm of the iteration method on a subspace for solving the generalized algebraic problem of eigenvalues of symmetric positive definite matrices of sparse structure is considered. For the presented algorithms, estimates of acceleration coefficients a

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Figueiredo, Marco A., Clay S. Gloster, Mark Stephens, Corey A. Graves, and Mouna Nakkar. "Implementation of Multispectral Image Classification on a Remote Adaptive Computer." VLSI Design 10, no. 3 (2000): 307–19. http://dx.doi.org/10.1155/2000/31983.

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As the demand for higher performance computers for the processing of remote sensing science algorithms increases, the need to investigate new computing paradigms is justified. Field Programmable Gate Arrays enable the implementation of algorithms at the hardware gate level, leading to orders of magnitude performance increase over microprocessor based systems. The automatic classification of spaceborne multispectral images is an example of a computation intensive application that can benefit from implementation on an FPGA-based custom computing machine (adaptive or reconfigurable computer). A p

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Rakhimov, Bakhtiyar Saidovich, Feroza Bakhtiyarovna Rakhimova, Sabokhat Kabulovna Sobirova, Furkat Odilbekovich Kuryazov, and Dilnoza Boltabaevna Abdirimova. "Review And Analysis Of Computer Vision Algorithms." American Journal of Applied sciences 03, no. 05 (2021): 245–50. http://dx.doi.org/10.37547/tajas/volume03issue05-39.

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Computer vision as a scientific discipline refers to the theories and technologies for creating artificial systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical fields like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific in

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STEWART, IAIN A. "ON TWO APPROXIMATION ALGORITHMS FOR THE CLIQUE PROBLEM." International Journal of Foundations of Computer Science 04, no. 02 (1993): 117–33. http://dx.doi.org/10.1142/s0129054193000080.

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We look at well-known polynomial-time approximation algorithms for the optimization problem MAX-CLIQUE (“find the size of the largest clique in a graph”) with regard to how easy it is to compute the actual cliques yielded by these approximation algorithms. We show that even for two “pretty useless” deterministic polynomial-time approximation algorithms, it is unlikely that the resulting clique can be computed efficiently in parallel. We also show that for each non-deterministic algorithm, it is unlikely that there is some deterministic polynomial-time algorithm that decides whether any given v

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Arguello, F. "Quantum wavelet transforms of any order." Quantum Information and Computation 9, no. 5&6 (2009): 414–22. http://dx.doi.org/10.26421/qic9.5-6-5.

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Many classical algorithms are known to efficiently compute the wavelet transforms. However, those classical algorithms cannot be directly translated to quantum algorithms. Recently, efficient and complete quantum algorithms for two representative wavelet transforms (quantum Haar and quantum Daubechies of fourth order) have been proposed. In this paper, we generalize these algorithms in order to they can be applied to Daubechies wavelet kernels of any order. Specifically, we develop a method that efficiently factorize those kernels. The factorization is compatible with the existing pyramidal an

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Wadhai, Prajwal Ashok. "Algolizer Using ReactJS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30733.

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The Algorithm Visualizer Project is an interactive and educational tool designed to illustrate various algorithms' functionality and efficiency through visual representations. Algorithms are fundamental to computer science, but their abstract nature can be challenging to comprehend. This project aims to bridge that gap by providing a user-friendly interface that visually demonstrates algorithms in action. The visualizer offers a platform where users can select from a range of algorithms, such as sorting (e.g., Bubble Sort, Merge Sort). Each algorithm is showcased step-by-step, allowing users t

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Jiang, Dazhi, and Zhun Fan. "The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/474805.

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At present there is a wide range of evolutionary algorithms available to researchers and practitioners. Despite the great diversity of these algorithms, virtually all of the algorithms share one feature: they have been manually designed. A fundamental question is “are there any algorithms that can design evolutionary algorithms automatically?” A more complete definition of the question is “can computer construct an algorithm which will generate algorithms according to the requirement of a problem?” In this paper, a novel evolutionary algorithm based on automatic designing of genetic operators

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PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On

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Maulana Hasan and Yahfizham. "Pengenalan Algoritma pada Pembelajaran Pemrograman Komputer." Comit: Communication, Information and Technology Journal 2, no. 2 (2023): 285–99. http://dx.doi.org/10.47467/comit.v2i2.1386.

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An algorithm is defined as a series of actions to solve a problem. The solutions implemented must be sequential, logical and systematic. In this way, algorithms can become the basis for creating computer programs. Meanwhile, a computer program is a set of commands that a computer is told to execute when solving a problem. Algorithms play a very important role in computer programming because the heart of computer science is algorithms. Many discussions from various branches of the computer field refer to the definition of algorithms. The purpose of this scientific work is to help students be ab

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K, Elahi. "Algorithms for Distance-based Topological Indices for Zero Divisor Graphs of Commutative Rings with Primes." Computational Mathematics and its Applications 2, no. 1 (2024): 018–22. http://dx.doi.org/10.17352/cma.000007.

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Mathematical solutions are sometimes complex to solve mathematically. Algorithms can provide the solution to these problems. Our article introduced algorithms to compute distance-based topological indices for zero divisor graphs containing finite rings as Zp1p2 × Zq. and Zp2 × Zq, having primes p1, p2, and q. Algorithm results can be reused in standing physical structures, solving computer network problems, and designing mechanics.

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Lu, Xuandiyang. "Research on Biological Population Evolutionary Algorithm and Individual Adaptive Method Based on Quantum Computing." Wireless Communications and Mobile Computing 2022 (March 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/5188335.

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On the basis of classical computer, quantum computer has been developed. In dealing with some large-scale parallel problems, quantum computer is simpler and faster than traditional computer. Nowadays, physical qubit computers have many limitations. Classical computers have many ways to simulate quantum computing, the most effective of which are quantum superiority and quantum algorithm. Ensuring computational efficiency, accuracy, and precision is of great significance to the study of large-scale quantum computing. Compared with other algorithms, genetic algorithm has more advantages, so it ca

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Vorobeichikova, O. V. "APPLICATION OF COMPUTER TECHNOLOGIES IN TEACHING OF MEDICAL STUDENTS." Bulletin of Siberian Medicine 13, no. 4 (2014): 27–31. http://dx.doi.org/10.20538/1682-0363-2014-4-27-31.

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he purpose of the given research are situational tasks from the point of view of algorithms of their decision and application of computer technologies for realization of similar algorithms. In the beginning the concept of a situational task and an opportunity of their use for training medical students is considered. The analysis of existing situational clinical tasks is spent and classification of algorithms of the decision is resulted. The opportunity of application of computer technologies for realization of similar algorithms is considered. Among all existing algorithms of the decision one

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SOBHY, MOHAMED I., and ALAA-EL-DIN SHEHATA. "SECURE COMPUTER COMMUNICATION USING CHAOTIC ALGORITHMS." International Journal of Bifurcation and Chaos 10, no. 12 (2000): 2831–39. http://dx.doi.org/10.1142/s021812740000181x.

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In this paper the application of chaotic algorithms in sending computer messages is described. The communication is achieved through email. Other transmission media can also be used. The algorithm has a degree of security many orders of magnitude higher than systems based on physical electronic circuitry. Both text, image or recorded voice messages can be transmitted. The algorithm can be used for computer communication and for secure databases.

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Tian, Pengyi, Dinggen Xu, and Xiuyuan Zhang. "Computer-Based Electronic Engineering Technology." Journal of Physics: Conference Series 2146, no. 1 (2022): 012038. http://dx.doi.org/10.1088/1742-6596/2146/1/012038.

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Abstract Most of the current image fusion algorithms directly process the original image, neglect the analysis of the main components of the image, and have a great influence on the effect of image fusion. In this paper, the main component analysis method is used to decompose the image, divided into low rank matrix and sparse matrix, introduced compression perception technology and NSST transformation algorithm to process the two types of matrix, according to the corresponding fusion rules to achieve image fusion, through experimental results: this algorithm has greater mutual information comp

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Porsani, Milton J., and Bjørn Ursin. "Direct multichannel predictive deconvolution." GEOPHYSICS 72, no. 2 (2007): H11—H27. http://dx.doi.org/10.1190/1.2432260.

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The Levinson principle generally can be used to compute recursively the solution of linear equations. It can also be used to update the error terms directly. This is used to do single-channel deconvolution directly on seismic data without computing or applying a digital filter. Multichannel predictive deconvolution is used for seismic multiple attenuation. In a standard procedure, the prediction-error filter matrices are computed with a Levinson recursive algorithm, using a covariance matrix of the input data. The filtered output is the prediction errors or the nonpredictable part of the data.

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Shultz, Thomas R., Marcel Montrey, and Lucy M. Aplin. "Modelling the spread of innovation in wild birds." Journal of The Royal Society Interface 14, no. 131 (2017): 20170215. http://dx.doi.org/10.1098/rsif.2017.0215.

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We apply three plausible algorithms in agent-based computer simulations to recent experiments on social learning in wild birds. Although some of the phenomena are simulated by all three learning algorithms, several manifestations of social conformity bias are simulated by only the approximate majority (AM) algorithm, which has roots in chemistry, molecular biology and theoretical computer science. The simulations generate testable predictions and provide several explanatory insights into the diffusion of innovation through a population. The AM algorithm's success raises the possibility of its

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Ivancova, Olga, Vladimir Korenkov, Olga Tyatyushkina, Sergey Ulyanov, and Toshio Fukuda. "Quantum supremacy in end-to-end intelligent IT. PT. III. Quantum software engineering – quantum approximate optimization algorithm on small quantum processors." System Analysis in Science and Education, no. 2 (2020) (June 30, 2020): 115–76. http://dx.doi.org/10.37005/2071-9612-2020-2-115-176.

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Principles and methodologies of quantum algorithmic gate-based design on small quantum computer described. The possibilities of quantum algorithmic gates simulation on classical computers discussed. A new approach to a circuit implementation design of quantum algorithm gates for fast quantum massive parallel computing presented. SW & HW support sophisticated smart toolkit of supercomputing accelerator of quantum algorithm simulation on small quantum programmable computer algorithm gate (that can program in SW to implement arbitrary quantum algorithms by executing any sequence of universal

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Zhang, Hongxin. "Optimization Strategies for Mathematical Algorithms in Computer Programming." Journal of Big Data and Computing 1, no. 1 (2023): 16–19. http://dx.doi.org/10.62517/jbdc.202301104.

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Computer programming is an important part of computing information technology, mathematical operation is one of the main modules of computer programming, through the optimization of mathematical operation to simple computer programming algorithm, can improve the efficiency of computer software. Therefore, in order to improve the efficiency of computer operation, it is particularly important to optimize the mathematical algorithms. Based on this, this paper studies the optimization strategy of mathematical algorithm in computer programming. Firstly, a brief overview of mathematical algorithm an

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Sun, Yuqin, Songlei Wang, Dongmei Huang, Yuan Sun, Anduo Hu, and Jinzhong Sun. "A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped." Intelligent Data Analysis 26, no. 5 (2022): 1211–28. http://dx.doi.org/10.3233/ida-216112.

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As a research hotspot in ensemble learning, clustering ensemble obtains robust and highly accurate algorithms by integrating multiple basic clustering algorithms. Most of the existing clustering ensemble algorithms take the linear clustering algorithms as the base clusterings. As a typical unsupervised learning technique, clustering algorithms have difficulties properly defining the accuracy of the findings, making it difficult to significantly enhance the performance of the final algorithm. AGglomerative NESting method is used to build base clusters in this article, and an integration strateg

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Fitt, Alistair, Keith O. Geddes, Stephen R. Czapor, and George Labahn. "Algorithms for Computer Algebra." Mathematical Gazette 79, no. 484 (1995): 242. http://dx.doi.org/10.2307/3620124.

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Holt, D. "ALGORITHMS FOR COMPUTER ALGEBRA." Bulletin of the London Mathematical Society 26, no. 1 (1994): 107–8. http://dx.doi.org/10.1112/blms/26.1.107.

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Leach, Ronald J. "Complexity of computer algorithms." Rocky Mountain Journal of Mathematics 17, no. 1 (1987): 167–88. http://dx.doi.org/10.1216/rmj-1987-17-1-167.

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Tron, Roberto, and Rene Vidal. "Distributed Computer Vision Algorithms." IEEE Signal Processing Magazine 28, no. 3 (2011): 32–45. http://dx.doi.org/10.1109/msp.2011.940399.

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Ahmad Al-hafiz Sagala and Yahfizham Yahfizham. "Analisis Pengenalan Konsep Algoritma Pemrograman Matematika Pada Kehidupan Sehari Hari." Morfologi: Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya 2, no. 1 (2024): 01–16. http://dx.doi.org/10.61132/morfologi.v2i1.267.

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Algorithms and programming play a crucial role in problem solving and software development. The origin of the word "algorithm" comes from "algorism," and its history can be traced to Abu Ja'far Muhammad Ibn Musa Al-khuwarizmi. This article presents definitions of algorithms from several sources, such as Kani (2020), Jando &; Nani (2018), Munir & Lidya (2016), and Sismoro (2005). The programming algorithm, as a series of logical and systematic steps, becomes the core in Troubleshooting. The research method applied is descriptive and qualitative, by collecting information from vari

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Ahmed, Asad, Osman Hasan, Falah Awwad, Nabil Bastaki, and Syed Rafay Hasan. "Formal Asymptotic Analysis of Online Scheduling Algorithms for Plug-In Electric Vehicles’ Charging." Energies 12, no. 1 (2018): 19. http://dx.doi.org/10.3390/en12010019.

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A large-scale integration of plug-in electric vehicles (PEVs) into the power grid system has necessitated the design of online scheduling algorithms to accommodate the after-effects of this new type of load, i.e., PEVs, on the overall efficiency of the power system. In online settings, the low computational complexity of the corresponding scheduling algorithms is of paramount importance for the reliable, secure, and efficient operation of the grid system. Generally, the computational complexity of an algorithm is computed using asymptotic analysis. Traditionally, the analysis is performed usin

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Pu, Chun Wang. "Research on the Design of Football Teaching System Based on Computer 3D Human Motion Recognition." Advanced Materials Research 791-793 (September 2013): 2013–17. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.2013.

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The performance of computer hardware and software has been improved, so computer 3D virtual simulation is gradually applied in all walks of life. It needs to handle large amounts of data in computer 3D simulation process. In the data storage and calculation process, it must choose efficient algorithms to solve the problem of redundancy data. Based on this, the paper respectively applies the BHIK algorithm and CCD algorithm, the two algorithms to the simulation of computer 3D motion recognition process, and it has compared the efficiency of the two algorithms. By the comparing, the calculation

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Zadiraka, Valerii, Oleksandr Khimich, and Inna Shvidchenko. "Models of Computer Calculations." Cybernetics and Computer Technologies, no. 2 (September 30, 2022): 38–51. http://dx.doi.org/10.34229/2707-451x.22.2.4.

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Introduction. The complexity of computational algorithms for solving typical problems of computational, applied, and discrete mathematics is analyzed from the perspective of the theory of computation, depending on the computer architecture and the used computing model: single-processor, multiprocessor, and quantum. The following classes of problems are considered: systems of linear algebraic equations, the Cauchy problem for systems of ordinary differential equations, numerical integration, boundary value problems for ordinary differential equations, factorization of numbers, finding the discr

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Wang, Yang, Shi Jun Ji, and Li Jun Yang. "General Subdivision Inferred from Catmull-Clark Subdivision Algorithm." Materials Science Forum 532-533 (December 2006): 789–92. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.789.

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Subdivision algorithms have emerged recently as a powerful and useful technique in modeling free-form surfaces. Subdivision algorithms exited at present however, being their disadvantages, can’t meet the demand of wide application in modeling surfaces and don’t still belong to a general theory. In this paper, a general subdivision algorithm is presented which is a general conclusion inferred from classical Catmull-Clark subdivision algorithm and can produce existing subdivision algorithm by selecting reasonable vertical weights and horizontal weights. The subdivision algorithm is an ideal reso

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Khatri, Sumeet, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, and Patrick J. Coles. "Quantum-assisted quantum compiling." Quantum 3 (May 13, 2019): 140. http://dx.doi.org/10.22331/q-2019-05-13-140.

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Compiling quantum algorithms for near-term quantum computers (accounting for connectivity and native gate alphabets) is a major challenge that has received significant attention both by industry and academia. Avoiding the exponential overhead of classical simulation of quantum dynamics will allow compilation of larger algorithms, and a strategy for this is to evaluate an algorithm's cost on a quantum computer. To this end, we propose a variational hybrid quantum-classical algorithm called quantum-assisted quantum compiling (QAQC). In QAQC, we use the overlap between a target unitaryUand a trai

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Bulan Naysabilla and Yahfizham Yahfizham. "Mengenal Dan Memahami Notasi Penulisan Dalam Algoritma Pemrograman." Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) 1, no. 4 (2023): 120–30. http://dx.doi.org/10.59061/jentik.v1i4.504.

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Programming is a way that can be used in instructing computers to carry out certain tasks. Computer instruction means providing a set of commands that can be notated in a language understood by the computer. A program is a set or series of instructions to solve a problem. While the algorithm is a sequence of logical instructions in solving a problem that is arranged systematically. The purpose of this research is to facilitate the community, especially from students and students in the notation of writing programming algorithms on computer use. For the writing of this journal, the author uses

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Levin, Maxim, Dmitry Pshenichnikov, Stanislav Nagornov, Irina Kovalenko, and Ekaterina Levina. "IMPROVEMENT OF COMPUTATIONAL ALGORITHMS IN BIOSYSTEMS USING QUANTUM COMPUTERS." SCIENCE IN THE CENTRAL RUSSIA, no. 6 (December 27, 2024): 114–22. https://doi.org/10.35887/2305-2538-2024-6-114-122.

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Unlocking the gene potential of both humans and plants is an unsolvable task for existing computers, so many problems are solved in a roundabout way. The problems of high-speed processing of large data sets, studying the structure of proteins and the human genome, or modeling complex physical systems are still relevant due to the slowness of classical computers. The potential of quantum computers was investigated in the work using a theoretical experiment to assemble the human genome. A classical computer with an AMD A10 4600M processor with 4 cores and a quantum computer with a Bristlecone pr

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Rejer, Izabela. "Genetic Algorithms for Feature Selection for Brain–Computer Interface." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 05 (2015): 1559008. http://dx.doi.org/10.1142/s0218001415590089.

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The crucial problem that has to be solved when designing an effective brain–computer interface (BCI) is: how to reduce the huge space of features extracted from raw electroencephalography (EEG) signals. One of the strategies for feature selection that is often applied by BCI researchers is based on genetic algorithms (GAs). The two types of GAs that are most commonly used in BCI research are the classic algorithm and the Culling algorithm. This paper presents both algorithms and their application for selecting features crucial for the correct classification of EEG signals recorded during image

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Suryadibrata, Alethea, and Julio Christian Young. "Visualisasi Algoritma sebagai Sarana Pembelajaran K-Means Clustering." Ultimatics : Jurnal Teknik Informatika 12, no. 1 (2020): 25–29. http://dx.doi.org/10.31937/ti.v12i1.1523.

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Algorithm Visualization (AV) is often used in computer science to represents how an algorithm works. Educators believe that visualization can help students to learn difficult algorithms. In this paper, we put our interest in visualizing one of Machine Learning (ML) algorithms. ML algorithms are used in various fields. Some of the algorithms are used to classify, predict, or cluster data. Unfortunately, many students find that ML algorithms are hard to learn since some of these algorithms include complicated mathematical equations. We hope this research can help computer science students to und

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