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Top Forums UNIX for Dummies Questions & Answers grep pipe filename print issue Post 302544140 by radoulov on Wednesday 3rd of August 2011 04:03:21 AM
Old 08-03-2011
Try this:

Code:
find . \( -name '*.cer' -o -name '*.jks' \) -exec bash -c '
  fn=$1
  case $fn in
    ( *.cer ) _opt="-printcert -file" ;;
    ( *.jks ) _opt="-keystore"        ;;
  esac	
  keytool -v -list $_opt "$fn" |
    fgrep -i "Aug 03" &&
      printf "%s\n" "$fn"
  ' inline {} \;

 

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solver_abtb(2rheolef)						    rheolef-6.1 					     solver_abtb(2rheolef)

NAME
solver_abtb -- direct or iterative solver iterface for mixed linear systems SYNOPSIS
solver_abtb stokes (a,b,mp); solver_abtb elasticity (a,b,c,mp); DESCRIPTION
The solver_abtb class provides direct or iterative algorithms for some mixed problem: [ A B^T ] [ u ] [ Mf ] [ ] [ ] = [ ] [ B -C ] [ p ] [ Mg ] where A is symmetric positive definite and C is symmetric positive. By default, iterative algorithms are considered for tridimensional problems and direct methods otherwise. Such mixed linear problems appears for instance with the discretization of Stokes problems. The C matrix can be zero and then the corresponding argument can be omitted when invoking the constructor. Non-zero C matrix appears for of Stokes problems with stabilized P1-P1 element, or for nearly incompressible elasticity problems. DIRECT ALGORITHM
When the kernel of B^T is not reduced to zero, then the pressure p is defined up to a constant and the system is singular. In the case of iterative methods, this is not a problem. But when using direct method, the system is then completed to impose a constraint on the pres- sure term and the whole matrix is factored one time for all. ITERATIVE ALGORITHM
The preconditionned conjugate gradient algorithm is used, where the mp matrix is used as preconditionner. See see mixed_solver(4). EXAMPLES
See the user's manual for practical examples for the nearly incompressible elasticity, the Stokes and the Navier-Stokes problems. IMPLEMENTATION
template <class T, class M = rheo_default_memory_model> class solver_abtb_basic { public: // typedefs: typedef typename csr<T,M>::size_type size_type; // allocators: solver_abtb_basic (); solver_abtb_basic (const csr<T,M>& a, const csr<T,M>& b, const csr<T,M>& mp, const solver_option_type& opt = solver_option_type()); solver_abtb_basic (const csr<T,M>& a, const csr<T,M>& b, const csr<T,M>& c, const csr<T,M>& mp, const solver_option_type& opt = solver_option_type()); // accessors: void solve (const vec<T,M>& f, const vec<T,M>& g, vec<T,M>& u, vec<T,M>& p) const; protected: // internal void init(); // data: mutable solver_option_type _opt; csr<T,M> _a; csr<T,M> _b; csr<T,M> _c; csr<T,M> _mp; solver_basic<T,M> _sA; solver_basic<T,M> _sa; solver_basic<T,M> _smp; bool _need_constraint; }; typedef solver_abtb_basic<Float,rheo_default_memory_model> solver_abtb; SEE ALSO
mixed_solver(4) rheolef-6.1 rheolef-6.1 solver_abtb(2rheolef)
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