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We develop general recursive methods to solve for optimal contracts in dynamic principal-agent environments with hidden states and hidden actions.
On the one hand, it reveals the fundamental facts on the qualitative aspects of the solution to important classes of problems; on the other hand, it also enables us to develop highly efficient and powerful new numerical methods to solve, for example, obstacle, unilateral, free, moving and complex equilibrium problems.
On the one hand, it reveals the fundamental facts on the qualitative aspects of the solution to important classes of problems; on the other hand, it also enables us to develop highly efficient and powerful new numerical methods to solve, for example, obstacle, unilateral, free, moving and the complex equilibrium problems.
The average size of an outbreak is given by and the probability of an epidemic is given by the following expression: where c and d are the solutions to the self-consistency equations and We use numerical root finding methods to solve for c and d.
This can be done using any methods to solve for a one-variable equation.
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In particular, a method to solve for particle sizes using bistatic multi-wavelength observations is described.
We have applied the method to solve for the lattice distortion of a single vacancy and a single germanium substitution.
We employ a mass conserving mixed hybrid finite element (MHFE) method to solve for the pressure and flux fields.
When the OFDM waveform is approximated as a complex Gaussian random variable, a numerical method to solve for can be found in [24].
Amm et al. (2013) propose the application of the SECS method to solve for the ionospheric and field-aligned current systems.
A program for simulating dynamic, coupled electrical power and thermal-hydraulic systems utilizes a single method to solve for both system electrical currents and fluid flow-rates.
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