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Networks with nonordered partitioning of players: stability and efficiency with neighborhood-influenced cost topology
This paper highlights the incentives of individuals to add or sever links in sha** stable and efficient networks when the society is partitioned...
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Cost efficiency analysis using relational dynamic network DEA: a case study in the Indian banking sector
The present study develops a relational dynamic network data envelopment analysis (DEA) approach to measure the cost efficiency of a...
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Estimation of cost efficiency with piecewise linear cost function in integer-valued data envelopment analysis
The cost efficiency is one of the types of the used efficiency concepts in the data envelopment analysis (DEA). In the literature of the cost...
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Cost efficiency measurement with price uncertainty: a data envelopment analysis
Data envelopment analysis (DEA) technique is commonly utilized for efficiency assessment in a variety of fields for both theoretical and...
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Optimizing inventory dynamics: a smart approach for non-instantaneous deteriorating items with linear time function dependent variable demands and holding costs, shortages with backlogging
This study presents an economic production quantity (EPQ) model designed specifically for managing non-instantaneous linear deteriorating items...
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Decomposing Economic Efficiency into Technical and Allocative Components: An Essential Property
We introduce two desirable properties concerning the allocative efficiency term in the decomposition of economic efficiency. Since Farrell, economic...
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On the Use of Monotonicity-Preserving Interpolatory Techniques in Multilevel Schemes for Balance Laws
Cost-effective multilevel techniques for homogeneous hyperbolic conservation laws are very successful in reducing the computational cost associated...
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Beyond Strang: a Practical Assessment of Some Second-Order 3-Splitting Methods
Operator-splitting is a popular divide-and-conquer strategy for solving differential equations. Typically, the right-hand side of the differential...
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Flexible, efficient, and accurate tests for epidemics
Group testing involves discovering a small subset of distinguished subjects from a large population while efficiently reducing the total number of...
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Variants of the Stochastic Sir Models and Vaccination Strategies
Several options of the stochastic SIR epidemics model with limited treatment are proposed. For these methods, the efficiency of different vaccination...
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Study on the Problem of Multistage Vaccine Production and Allocation with Capacity Constraints
Vaccination is the best way to build an immune barrier to control a new infectious disease. Considering the limited production capacity at the...
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A Bi-level Multi-objective Programming on Data Envelopment Analysis by Penalty Approach
The aim of this paper is to evaluate the structure of a bi-level system, which consists of multiple leaders at the first level and multiple followers...
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Proximal linearized method for sparse equity portfolio optimization with minimum transaction cost
In this paper, we propose a sparse equity portfolio optimization model that aims at minimizing transaction cost by avoiding small investments while...
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Algorithms for coupled Burgers’ equations by sharing characteristic curves within BSLM
This paper introduces a new perspective of the traditional view on the velocity of each physical particle in the coupled Burgers’ equation in the...
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Data-trading coordination with government subsidy
Data trading has become increasingly attractive and crucial in the era of the digital economy. Previous studies present insightful but only partial...
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Improved Efficiency of Multilevel Monte Carlo for Stochastic PDE through Strong Pairwise Coupling
Multilevel Monte Carlo (MLMC) has become an important methodology in applied mathematics for reducing the computational cost of weak approximations....
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A Computationally Efficient Sixth-Order Method for Nonlinear Models
The aim of the present study is to develop an iterative scheme of high convergence order with minimal computational cost. With this objective, a...
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Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Reduced-order modelling and low-dimensional surrogate models generated using machine learning algorithms have been widely applied in high-dimensional...
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Provable Stochastic Algorithm for Large-Scale Fully-Connected Tensor Network Decomposition
The fully-connected tensor network (FCTN) decomposition is an emerging method for processing and analyzing higher-order tensors. For an N th-order...
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Maximization of Energy Efficiency for Optimal Spectral Efficiency in Massive MIMO System
High demand for wireless throughput, communication reliability, and user density, in the recent era of wireless connectivity, posts a significant...