Loading test/gdcpp.cpp +3 −3 Original line number Diff line number Diff line Loading @@ -46,7 +46,7 @@ TEST_CASE("gradient_descent") Paraboloid<float>, ConstantStepSize<float>, NoCallback<float>, ForwardDifferences<float, Paraboloid<float>>> optimizer; ForwardDifferences<float>> optimizer; optimizer.setMaxIterations(100); Vector xval(2); Loading @@ -64,7 +64,7 @@ TEST_CASE("gradient_descent") Paraboloid<float>, ConstantStepSize<float>, NoCallback<float>, BackwardDifferences<float, Paraboloid<float>>> optimizer; BackwardDifferences<float>> optimizer; optimizer.setMaxIterations(100); Vector xval(2); Loading @@ -82,7 +82,7 @@ TEST_CASE("gradient_descent") Paraboloid<float>, ConstantStepSize<float>, NoCallback<float>, CentralDifferences<float, Paraboloid<float>>> optimizer; CentralDifferences<float>> optimizer; optimizer.setMaxIterations(100); Vector xval(2); Loading Loading
test/gdcpp.cpp +3 −3 Original line number Diff line number Diff line Loading @@ -46,7 +46,7 @@ TEST_CASE("gradient_descent") Paraboloid<float>, ConstantStepSize<float>, NoCallback<float>, ForwardDifferences<float, Paraboloid<float>>> optimizer; ForwardDifferences<float>> optimizer; optimizer.setMaxIterations(100); Vector xval(2); Loading @@ -64,7 +64,7 @@ TEST_CASE("gradient_descent") Paraboloid<float>, ConstantStepSize<float>, NoCallback<float>, BackwardDifferences<float, Paraboloid<float>>> optimizer; BackwardDifferences<float>> optimizer; optimizer.setMaxIterations(100); Vector xval(2); Loading @@ -82,7 +82,7 @@ TEST_CASE("gradient_descent") Paraboloid<float>, ConstantStepSize<float>, NoCallback<float>, CentralDifferences<float, Paraboloid<float>>> optimizer; CentralDifferences<float>> optimizer; optimizer.setMaxIterations(100); Vector xval(2); Loading