A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

“…Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.…”
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Non-onsite symmetries and quantum teleportation in split-index matrix product states by David T. Stephen

“…The key tool in our analysis is a new kind of tensor network representation which we call split-index matrix product states (SIMPS). We develop the basic formalism of SIMPS, compare them to matrix product states, show how they are better equipped to describe certain kinds of non-onsite symmetries including anomalous symmetries, and discuss how they are also well-suited to describing quantum teleportation and constrained spin chains.…”
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Parameters estimation of gas capture through Mixed Matrix Membrane (MMM) with CFD. by Ali A Abdulabbas, Thamer J Mohammed, Tahseen A Al-Hattab, Mahdi Sh Jaafar

“…In this work, computational fluid dynamics (CFD) estimated the parameters of MMM for CO2 gas separation. …”
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SpecBoost: Accelerating Tiled Sparse Matrix Multiplication via Dataflow Speculation by Gwanghwi Seo, Sungju Ryu

“…Sparse matrix-sparse matrix multiplication (SpMSpM) is crucial in many fields such as scientific computing, sparse linear algebra, and machine learning due to its computational complexity in the large and extremely sparse datasets. …”
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Coefficient Matrix Decomposition Method and BIBO Stabilization of Stochastic Systems with Time Delays by Xia Zhou, Shouming Zhong

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Joint-2D-SL0 Algorithm for Joint Sparse Matrix Reconstruction by Dong Zhang, Yongshun Zhang, Cunqian Feng

“…Then, we put forward the Joint-2D-SL0 algorithm which can solve the joint sparse matrix reconstruction problem efficiently. Compared with the Kronecker compressive sensing method, our proposed method has a higher computational efficiency and acceptable reconstruction accuracy. …”
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A Communication-Efficient Distributed Matrix Multiplication Scheme with Privacy, Security, and Resiliency by Tao Wang, Zhiping Shi, Juan Yang, Sha Liu

“…Secure distributed matrix multiplication (SDMM) schemes are crucial for distributed learning algorithms where extensive data computation is distributed across multiple servers. …”
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Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent by Zunyi Tang, Shuxue Ding, Zhenni Li, Linlin Jiang

“…This is accomplished by posing the sparse representation of nonnegative signals as a problem of nonnegative matrix factorization (NMF) with a sparsity constraint. …”
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Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

“…We devise two algorithms for approximating solutions of PSDisation, a problem in actuarial science and finance, to find the nearest valid correlation matrix that is positive semidefinite (PSD). The first method converts the PSDisation problem with a positive semidefinite constraint and other linear constraints into iterative Linear Programmings (LPs) or Quadratic Programmings (QPs). …”
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Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization by Jiyang Yu, Hangjun Che, Man-Fai Leung, Cheng Liu, Wenhui Wu, Zheng Yan

“…Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. …”
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A Novel, Direct Matrix Solver for Supersonic Boundary Element Method Systems by Cory Goates, Douglas Hunsaker

“…This novel method is then compared to other direct and iterative matrix solvers and is shown to be more robust than iterative solvers and more efficient than other direct solvers, with a computational time complexity of approximately <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><msup><mi>N</mi><mrow><mn>2.5</mn></mrow></msup><mo>)</mo></mrow></semantics></math></inline-formula>.…”
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Force and Stress Simulation in Experimentable Digital Twins Using the Transfer Matrix Method by Sebastian Schmid, Dorit Kaufmann, Ulrich Dahmen, Finn Eggers, Ioannis Valais, Kai-Uwe Schröder, Jürgen Roßmann

“…In our work, we investigate how to include structural loads into an Experimentable Digital Twin while maintaining computational efficiency and interoperability on a system level. …”
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Pericoronary fat attenuation index and its relationship with markers of inflammation and extracellular matrix remodeling in patients with acute coronary syndrome and vulnerable pla... by A. N. Kovalskaya, G. R. Bikbaeva, D. V. Duplyakov, E. A. Sidorov, D. V. Solovov

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Thermodynamic computing system for AI applications by Denis Melanson, Mohammad Abu Khater, Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Gavin Crooks, Antonio J. Martinez, Faris Sbahi, Patrick J. Coles

“…Abstract Recent breakthroughs in artificial intelligence (AI) algorithms have highlighted the need for alternative computing hardware in order to truly unlock the potential for AI. …”
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Computation of the Added Masses of an Unconventional Airship by Naoufel Azouz, Said Chaabani, Jean Lerbet, Azgal Abichou

“…A special focus is done on the computation of the added masses. Considering that the velocity potential of the air surrounding the airship obeys the Laplace's equation, the added masses matrix will be determined by means of the velocity potential flow theory. …”
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A relativistic continuous matrix product state study of field theories with defects by Karan Tiwana, Edoardo Lauria, Antoine Tilloy

“…Abstract We propose a method to compute expectation values in 1+1-dimensional massive Quantum Field Theories (QFTs) with line defects using Relativistic Continuous Matrix Product State (RCMPS). …”
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Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection by Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Ashu Abdul, Jenhui Chen

“…Collaborative filtering-based recommendations with the help of matrix factorization techniques is very useful in practical uses. …”
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Deriving analytical solutions using symbolic matrix structural analysis for continuous beams by Vagelis Plevris, Afaq Ahmad

“…Abstract This study investigates the use of symbolic computation in Matrix Structural Analysis (MatSA) for continuous beams, using the MATLAB Symbolic Math Toolbox. …”
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Singular Value and Matrix Norm Inequalities between Positive Semidefinite Matrices and Their Blocks by Feng Zhang, Rong Ma, Chunwen Zhang, Yuxin Cao

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The description of broadband matching and frequency-selective chains by means of the generalised matrix of dispersion by A. A. Svirydzenka

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