195 …PetscCall(TaoComputeJacobianState(tao, tao->solution, tao->jacobian_state, tao->jacobian_state_pre…  in TaoSolve_LCL()
205   PetscCall(MatIsSymmetricKnown(tao->jacobian_state, &set, &flag));  in TaoSolve_LCL()
222     PetscCall(KSPSetOperators(tao->ksp, tao->jacobian_state, tao->jacobian_state_pre));  in TaoSolve_LCL()
281       PetscCall(KSPSetOperators(tao->ksp, tao->jacobian_state, tao->jacobian_state_pre));  in TaoSolve_LCL()
298       PetscCall(MatMult(tao->jacobian_state, tao->constraints, lclP->WU));  in TaoSolve_LCL()
300       PetscCall(MatMultTranspose(tao->jacobian_state, tao->constraints, lclP->WU));  in TaoSolve_LCL()
391 …PetscCall(TaoComputeJacobianState(tao, lclP->X0, tao->jacobian_state, tao->jacobian_state_pre, tao…  in TaoSolve_LCL()
402       PetscCall(MatIsSymmetricKnown(tao->jacobian_state, &set, &flag));  in TaoSolve_LCL()
476 …PetscCall(TaoComputeJacobianState(tao, lclP->X0, tao->jacobian_state, tao->jacobian_state_pre, tao…  in TaoSolve_LCL()
487       PetscCall(MatIsSymmetricKnown(tao->jacobian_state, &set, &flag));  in TaoSolve_LCL()
531 …PetscCall(TaoComputeJacobianState(tao, tao->solution, tao->jacobian_state, tao->jacobian_state_pre…  in TaoSolve_LCL()
622 …PetscCall(TaoComputeJacobianState(tao, X, tao->jacobian_state, tao->jacobian_state_pre, tao->jacob…  in LCLComputeLagrangianAndGradient()
626   PetscCall(MatIsSymmetricKnown(tao->jacobian_state, &set, &flag));  in LCLComputeLagrangianAndGradient()
642     PetscCall(MatMult(tao->jacobian_state, lclP->lambda0, lclP->GL_U));  in LCLComputeLagrangianAndGradient()
644     PetscCall(MatMultTranspose(tao->jacobian_state, lclP->lambda0, lclP->GL_U));  in LCLComputeLagrangianAndGradient()
674   PetscCall(MatIsSymmetricKnown(tao->jacobian_state, &set, &flag));  in LCLComputeAugmentedLagrangianAndGradient()
684     PetscCall(MatMult(tao->jacobian_state, tao->constraints, lclP->GAugL_U));  in LCLComputeAugmentedLagrangianAndGradient()
686     PetscCall(MatMultTranspose(tao->jacobian_state, tao->constraints, lclP->GAugL_U));  in LCLComputeAugmentedLagrangianAndGradient()