Updates

Author: ParamThakkar123

benchmarks/PINNErrorsVsTime/allen_cahn_et.jmd

@@ -144,10 +144,10 @@ end
 maxIters = [(1,1,1,1,1,1,1000),(1,1,1,1,300,300,300)] #iters for ADAM/LBFGS
 # maxIters = [(1,1,1,1,1,1,10),(1,1,1,3,3,3,3)] #iters for ADAM/LBFGS
 
-strategies = [NeuralPDE.QuadratureTraining(quadrature_alg = CubaCuhre(), reltol = 1e-4, abstol = 1e-4, maxiters = 100),
-              NeuralPDE.QuadratureTraining(quadrature_alg = HCubatureJL(), reltol = 1e-4, abstol = 1e-4, maxiters = 100, batch = 0),
-              NeuralPDE.QuadratureTraining(quadrature_alg = CubatureJLh(), reltol = 1e-4, abstol = 1e-4, maxiters = 100),
-              NeuralPDE.QuadratureTraining(quadrature_alg = CubatureJLp(), reltol = 1e-4, abstol = 1e-4, maxiters = 100),
+strategies = [NeuralPDE.QuadratureTraining(quadrature_alg = CubaCuhre(), reltol = 1e-4, abstol = 1e-4, maxiters = 1100),
+              NeuralPDE.QuadratureTraining(quadrature_alg = HCubatureJL(), reltol = 1e-4, abstol = 1e-4, maxiters = 1100, batch = 0),
+              NeuralPDE.QuadratureTraining(quadrature_alg = CubatureJLh(), reltol = 1e-4, abstol = 1e-4, maxiters = 1100),
+              NeuralPDE.QuadratureTraining(quadrature_alg = CubatureJLp(), reltol = 1e-4, abstol = 1e-4, maxiters = 1100),
               NeuralPDE.GridTraining(0.2),
               NeuralPDE.StochasticTraining(400 ; bcs_points= 50),
               NeuralPDE.QuasiRandomTraining(400 ; bcs_points= 50)]

benchmarks/PINNErrorsVsTime/diffusion_et.jmd

@@ -158,7 +158,6 @@ for min =1:length(minimizers) # minimizer
             push!(times, string(strat,min)        => res[4])
             push!(prediction, string(strat,min)        => res[5])
             push!(losses_res, string(strat,min)        => res[6])
-
       end
 end
 ```