Property:HasInfoboxMethod

From IAMC-Documentation
Jump to navigation Jump to search

This is a property of type Text.

Showing 53 pages using this property.
A
Optimization  +
Optimization  +
Simulation  +
Simulation  +
Simulation  +
Optimization  +
Simulation  +
B
Optimization  +
Optimization  +
C
Optimization  +
The COFFEE model is solved through Linear Programming (LP). The TEA model is formulated as a mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE within GAMS using the PATH solver.  +
Optimization  +
D
Optimization  +
E
Simulation  +
Optimization  +
Optimization  +
Optimization  +
G
Recursive dynamic solution method  +
Recursive dynamic solution method  +
Optimization  +
OptimizationLinear optimisation  +
Optimization  +
SimulationRecursive dynamic solution method  +
I
Optimization  +
Dynamic recursive with annual time steps through 2100.  +
SimulationImaclim-R is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations.  +
Optimization  +
SimulationImaclim-NLU is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations.  +
Simulation  +
Optimization  +
Optimization  +
The economic problem is formulated as a three-level nested problem. The solution of these three sub-problems yield the dynamic capital path (investment/consumption trade-off in each simulation year), and factor and output prices which clear all factor and goods markets.  +
M
Optimization  +
Simulation  +
Optimization  +
Optimization  +
Optimization  +
Simulation  +
Simulation  +
P
SimulationRecursive simulation  +
Mathematically PRIMES solves an EPEC problem (equilibrium problem with equilibrium constraints) which allows prices to be explicitly determined.  +
Simulation  +
R
OptimizationMAgPIE: cost minimization;  +
OptimizationSimulation-based optimization  +
Optimization  +
S
Simulation  +
T
Optimization  +
Linear optimisation  +
Optimization  +
V
Steady state path (dynamic recursive) plus perturbation around state state (short term dynamics)  +
W
Optimization  +
Optimization  +
OptimizationSimulation-based optimization  +