Commits on Oct 21, 2022

1. new branch ComplexLA_develop to solve complex eigenvalues eigenvector… …

   …s and inv etc for general (symmetry and asymmetry) Matrix
   
     neo/cla.nim
     neo/clasolve.nim
     neo/private/clacommon.nim
     neo/private/clareim.nim
     tests/tcla.nim
     tests/cla/cbase.nim
     tests/cla/cpauli.nim
     tests/cla/chermitian.nim
     tests/cla/cdet.nim
     tests/cla/cinv.nim
     tests/cla/csolve.nim
     tests/cla/ceig.nim
   
   use [c|z]axpy [c|z]dotu [c|z]dotc [c|z]gemv [c|z]gemm [c|z]scal (nimblas)
   use [c|z]geev [c|z]gesv overload with macro(czfortran) (nimlapack)
   include nimlapack instead of import nimlapack to use private types
   template czelColMajor, czelRowMajor for cast[ptr Complex[T]]
   unary operator `-`
   template compareApprox[T](x, y: complex.Complex[T]): bool
   
   proc all*[T](v: Vector[Complex[T]];
     pred: proc(i: int, x: complex.Complex[T]): bool {.closure.}): bool
   proc all*[T](a: Matrix[Complex[T]];
     pred: proc(i, j: int, x: complex.Complex[T]): bool {.closure.}): bool
   
   template `!=~`*[T](x, y: complex.Complex[T]): bool
   template `!=~`*[T](v, w: Vector[Complex[T]]): bool
   template `!=~`*[T](a, b: Matrix[Complex[T]]): bool
   
   scal for operator `*='*[T](v: var Vector[Complex[T]]; c: complex.Complex[T])
   scal for operator `*='*[T](a: var Matrix[Complex[T]]; c: complex.Complex[T])
   
   dotu dotc[Vector[Complex[T]]] Hermitian Inner Product
   trace and tr and dotc[Matrix[Complex[T]]] Hilbert-Schmidt Inner Product
   
   TODO: support and check for sparse matrix
   TODO: support and check for cuda cudadense cudasparse

   

   nomissbowling committed Oct 21, 2022
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