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2. Finite Difference Equations for Neutron Flux and Importance Distribution in 3D Heterogeneous Reactor
3. On Some Computational Aspects of the Variational Data Assimilation Techniques
4. Studying the Properties of Variational Data Assimilation Methods by Applying a Set of Test-Examples
5. Testing Variational Data Assimilation Modules
6. Numerical Methods for Optimal Control Problems with ODE or Integral Equations
7. A Global Optimality Principle for Fully Coupled Mean-field Control Systems
8. Perspectives on Simulation Based Aerodynamic Design
9. Adjoint Methods for Shape Optimization
10. Advances in Aerodynamic Shape Optimization
11. Formulation and Multigrid Solution of the Discrete Adjoint Problem on Unstructured Meshes
12. Optimum Transonic Wing Design Using Control Theory
13. Aerodynamic shape optimization techniques based on control theory
14. Discrete Adjoint Optimization Method for Low-Boom Aircraft Design Using Equivalent Area Distribution.
15. Lagrange-Hamilton Approach in Optimization Problems with Isoperimetric-Type Constraints.
16. Aerodynamic Design via Control Theory
17. Near‐optimal control of a stochastic pine wilt disease model with prevention strategies.
18. Near-optimality of a stochastic economic-environment model with pollution control strategies
19. Determination of a Time-Varying Point Source in Cauchy Problems for the Convection–Diffusion Equation.
20. Adjoint multi-start-based estimation of cardiac hyperelastic material parameters using shear data
21. Non-zero-sum differential games of delayed backward doubly stochastic systems and their application.
22. A Functional Approach to Interpreting the Role of the Adjoint Equation in Machine Learning.
23. Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers.
24. RANDOMIZED SKETCHING ALGORITHMS FOR LOW-MEMORY DYNAMIC OPTIMIZATION.
25. The relaxed optimal control problem of forward-backward stochastic doubly systems with Poisson jumps and its application to LQ problem.
26. Near‐optimal control of a stochastic model for mountain pine beetles with pesticide application.
27. Variational Data Assimilation for the Sea Thermodynamics Model and Sensitivity of Marine Characteristics to Observation Errors
28. A Mean-Field Optimal Control for Fully Coupled Forward-Backward Stochastic Control Systems with Lévy Processes
29. Verification Theorem Of Stochastic Optimal Control With Mixed Delay And Applications To Finance.
30. Partial derivative with respect to the measure and its application to general controlled mean-field systems.
31. Pontryagin's Risk-Sensitive Stochastic Maximum Principle for Backward Stochastic Differential Equations with Application.
32. Non-Zero Sum Differential Games of Backward Stochastic Differential Delay Equations Under Partial Information.
33. Inverse Boundary Value Problem Solution for Deflected Beams Joined Together by Elastic Medium.
34. THE MAXIMUM PRINCIPLE FOR PROGRESSIVE OPTIMAL STOCHASTIC CONTROL PROBLEMS WITH RANDOM JUMPS.
35. A pseudospectral approach applicable for time integration of linearized N‐S operator that removes pole singularity and physically spurious eigenmodes.
36. Automatic differentiation of explicit Runge-Kutta methods for optimal control.
37. A NEW IMAGING ALGORITHM FOR ELECTRIC CAPACITANCE TOMOGRAPHY.
38. STOCHASTIC NEAR-OPTIMAL CONTROLS: NECESSARY AND SUFFICIENT CONDITIONS FOR NEAR-OPTIMALITY.
39. A New Risk-Sensitive Maximum Principle.
40. Forward and Backward Mean-Field Stochastic Partial Differential Equation and Optimal Control.
41. A general maximum principle for mean-field forward-backward doubly stochastic differential equations with jumps processes.
42. Optimal control problems for linear backward doubly stochastic differential equations.
43. Stochastic controls of relaxed-singular problems.
44. Second-Order Necessary Conditions for Stochastic Optimal Control Problems.
45. The Ulam Stability of First Order Linear Dynamic Equations on Time Scales.
46. POINTWISE SECOND-ORDER NECESSARY CONDITIONS FOR STOCHASTIC OPTIMAL CONTROLS, PART II: THE GENERAL CASE.
47. A maximum principle for partially observed optimal control of forward-backward stochastic control systems.
48. Necessary and sufficient conditions for optimal control of stochastic systems associated with Lévy processes.
49. Adjoint method for the optimum planning of industrial pollutant sources.
50. Evaluating Gradients in Optimal Control: Continuous Adjoints versus Automatic Differentiation.
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