Upgrade to MultivariateMoments v0.1.0

Author: blegat

REQUIRE

@@ -1,6 +1,6 @@
 julia 0.6
 MultivariatePolynomials 0.1.1
 SemialgebraicSets 0.0.2
-MultivariateMoments
+MultivariateMoments 0.1.0
 JuMP
 PolyJuMP 0.1.0

test/extract_domain_polyopt.jl

@@ -31,10 +31,10 @@ using MultivariateMoments
         @test isnull(atoms) == !found
         if !isnull(atoms)
             η = get(atoms)
-            @test η.λ[1] ≈ 1/2 atol=1e-2
-            @test η.λ[2] ≈ 1/2 atol=1e-2
-            @test isapprox(η.support[1], [0, 1], atol=1e-2) || isapprox(η.support[1], [1, 0], atol=1e-2)
-            @test isapprox(η.support[2], [0, 1], atol=1e-2) || isapprox(η.support[2], [1, 0], atol=1e-2)
+            @test η.atoms[1].weight ≈ 1/2 atol=1e-2
+            @test η.atoms[2].weight ≈ 1/2 atol=1e-2
+            @test isapprox(η.atoms[1].center, [0, 1], atol=1e-2) || isapprox(η.atoms[1].center, [1, 0], atol=1e-2)
+            @test isapprox(η.atoms[2].center, [0, 1], atol=1e-2) || isapprox(η.atoms[2].center, [1, 0], atol=1e-2)
         end
     end
 end

test/options_pricing.jl

@@ -10,8 +10,8 @@ using MultivariateMoments
     @polyvar x y z
     σ = [184.04, 164.88, 164.88, 184.04, 164.88, 184.04]
     X = [x^2, x*y, x*z, y^2, y*z, z^2, x, y, z, 1]
-    μ = MultivariateMoments.measure([σ + 44.21^2; 44.21 * ones(3); 1],
-                                    X)
+    μ = measure([σ + 44.21^2; 44.21 * ones(3); 1],
+                X)
     function optionspricing(K, cone)
         m = SOSModel(solver = solver)
         @variable m p Poly(X)