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Mathematics, Volume 13, Issue 4

February-2 2025 - 140 articles

Cover Story: Existing control chart pattern recognition (CCPR) methods for process monitoring were established based on the normality assumption of quality variables. In today’s manufacturing, it not only allows for prompt corrections but also saves time and observation costs. It is challenging to cumulate enough sample resources to implement a CCPR method for process monitoring in the initial stage. Simulating all the in-control and out-of-control scenarios as the initial samples to implement CCPR methods can be a solution. Then, the process can be continually monitored using CCPR methods, and sample resources can be cumulated over time till a big sample has been achieved. Next, these CCPR methods must be retrained for process control based on the big sample. This study contributes to new CCPR methods in this area. View this paper
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Articles (140)

  • Feature Paper
  • Article
  • Open Access
736 Views
16 Pages

19 February 2025

This article studies the theoretical properties of the numerical scheme for backward stochastic differential equations, extending the relevant results of Briand et al. with more general assumptions. To be more precise, the Brown motion will be approx...

  • Article
  • Open Access
1 Citations
741 Views
16 Pages

19 February 2025

In order to further improve the tracking performance of multiple-degree-of-freedom serial electro-hydraulic robotic manipulators, a high-performance multilayer neurocontroller will be proposed. In detail, multilayer neural networks will be employed t...

  • Article
  • Open Access
3 Citations
1,144 Views
19 Pages

19 February 2025

σ-martingales generalize local martingales through localizing sequences of predictable sets, which are essential in stochastic analysis and financial mathematics, particularly for arbitrage-free markets and portfolio theory. In this work, we pr...

  • Feature Paper
  • Article
  • Open Access
1,371 Views
18 Pages

19 February 2025

In this study, we analyze the convergence rate of Adagrad with momentum for non-convex optimization problems. We establish the first dimension-independent convergence rate under the (L0,L1)-smoothness assumption, which is a generalization of the stan...

  • Article
  • Open Access
3 Citations
1,586 Views
34 Pages

19 February 2025

This study explores smoothing techniques to refine financial risk tolerance (FRT) data for the improved prediction of financial market indicators, including the Volatility Index and S&P 500 ETF. Raw FRT data often contain noise and volatility, ob...

  • Article
  • Open Access
2 Citations
2,246 Views
30 Pages

19 February 2025

Agent-based automated negotiation aims to enhance decision-making processes by predefining negotiation rules, strategies, and objectives to achieve mutually acceptable agreements. However, most existing research primarily focuses on modeling the form...

  • Article
  • Open Access
939 Views
24 Pages

19 February 2025

In order to address the diverse and personalized needs of consumers for fresh products, as well as to enhance the efficiency and safety of fresh product delivery, this paper proposes an integer programming model aimed at minimizing total distribution...

  • Article
  • Open Access
4 Citations
1,099 Views
12 Pages

Toeplitz Determinants for Inverse of Analytic Functions

  • Sarem H. Hadi,
  • Yahea Hashem Saleem,
  • Alina Alb Lupaş,
  • Khalid M. K. Alshammari and
  • Abdullah Alatawi

19 February 2025

Estimates bounds for Carathéodory functions in the complex domain are applied to demonstrate sharp limits for the inverse of analytic functions. Determining these values is considered a more difficult task compared to finding the values of ana...

  • Article
  • Open Access
1 Citations
1,215 Views
39 Pages

18 February 2025

With the rapid advancement of artificial intelligence (AI) technology, the demand for vast amounts of data for training AI algorithms to attain intelligence has become indispensable. However, in the realm of big data technology, the high feature dime...

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Mathematics - ISSN 2227-7390