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Optimal Reinsurance–Investment Strategy Based on Stochastic Volatility and the Stochastic Interest Rate Model
Published 2023-07-01“…This paper studies insurance companies’ optimal reinsurance–investment strategy under the stochastic interest rate and stochastic volatility model, taking the HARA utility function as the optimal criterion. …”
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202
On a class of stochastic differential equations driven by the generalized stochastic mixed variational inequalities
Published 2023-10-01Subjects: “…stochastic variational inequalities…”
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203
Orthogonal polynomial expansions for the valuation of options under the stochastic volatility models with stochastic correlation
Published 2024-06-01Subjects: Get full text
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Stochastic stability of solutions for a fourth-order stochastic differential equation with constant delay
Published 2023-11-01Subjects: “…Stochastic asymptotic stability…”
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205
Two-stage stochastic programming for the inventory routing problem with stochastic demands in fuel delivery
Published 2022-01-01“…This paper studies the multi-vehicle multi-compartment inventory routing problem with stochastic demands (MCIRPSD) in the context of fuel delivery. …”
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206
Stochastic Runge–Kutta methods for multi-dimensional Itô stochastic differential algebraic equations
Published 2021-11-01Subjects: “…Stochastic differential algebraic equations…”
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207
Generalized stochastic Frank–Wolfe algorithm with stochastic “substitute” gradient for structured convex optimization
Published 2021“…Abstract The stochastic Frank–Wolfe method has recently attracted much general interest in the context of optimization for statistical and machine learning due to its ability to work with a more general feasible region. …”
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Simulation−based verification of hybrid automata stochastic logic formulas for stochastic symmetric nets
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Discrete-time nonlinear stochastic optimal control problem based on stochastic approximation approach
Published 2018“…Then, this output error is minimized by applying the stochastic approximation approach. During the computation procedure, the stochastic gradient is established, so as the optimal solution of the model used can be updated iteratively. …”
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