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This module '_interpolative' is auto-generated with f2py (version:2). Functions: r = id_srand(n) id_srandi(t) id_srando() y = idd_frm(n,w,x,m=len(x)) y = idd_sfrm(l,n,w,x,m=len(x)) n,w = idd_frmi(m) n,w = idd_sfrmi(l,m) krank,list,rnorms = iddp_id(eps,a,m=shape(a,0),n=shape(a,1)) list,rnorms = iddr_id(a,krank,m=shape(a,0),n=shape(a,1)) approx = idd_reconid(col,list,proj,m=shape(col,0),krank=shape(col,1),n=len(list)) p = idd_reconint(list,proj,n=len(list),krank=shape(proj,0)) col = idd_copycols(a,krank,list,m=shape(a,0),n=shape(a,1)) u,v,s,ier = idd_id2svd(b,list,proj,m=shape(b,0),krank=shape(b,1),n=len(list),w=) snorm,v = idd_snorm(m,n,matvect,matvec,its,p1t=,p2t=,p3t=,p4t=,p1=,p2=,p3=,p4=,u=,matvect_extra_args=(),matvec_extra_args=()) snorm = idd_diffsnorm(m,n,matvect,matvect2,matvec,matvec2,its,p1t=,p2t=,p3t=,p4t=,p1t2=,p2t2=,p3t2=,p4t2=,p1=,p2=,p3=,p4=,p12=,p22=,p32=,p42=,w=,matvect_extra_args=(),matvect2_extra_args=(),matvec_extra_args=(),matvec2_extra_args=()) u,v,s,ier = iddr_svd(a,krank,m=shape(a,0),n=shape(a,1),r=) krank,iu,iv,is,w,ier = iddp_svd(eps,a,m=shape(a,0),n=shape(a,1)) krank,list,proj = iddp_aid(eps,a,work,proj,m=shape(a,0),n=shape(a,1)) krank,ra = idd_estrank(eps,a,w,ra,m=shape(a,0),n=shape(a,1)) krank,iu,iv,is,w,ier = iddp_asvd(eps,a,winit,w,m=shape(a,0),n=shape(a,1)) krank,list,proj,ier = iddp_rid(eps,m,n,matvect,proj,p1=,p2=,p3=,p4=,matvect_extra_args=()) krank,ra,ier = idd_findrank(eps,m,n,matvect,p1=,p2=,p3=,p4=,w=,matvect_extra_args=()) krank,iu,iv,is,w,ier = iddp_rsvd(eps,m,n,matvect,matvec,p1t=,p2t=,p3t=,p4t=,p1=,p2=,p3=,p4=,matvect_extra_args=(),matvec_extra_args=()) list,proj = iddr_aid(a,krank,w,m=shape(a,0),n=shape(a,1)) w = iddr_aidi(m,n,krank) u,v,s,ier = iddr_asvd(a,krank,w,m=shape(a,0),n=shape(a,1)) list,proj = iddr_rid(m,n,matvect,krank,p1=,p2=,p3=,p4=,matvect_extra_args=()) u,v,s,ier = iddr_rsvd(m,n,matvect,matvec,krank,p1t=,p2t=,p3t=,p4t=,p1=,p2=,p3=,p4=,w=,matvect_extra_args=(),matvec_extra_args=()) y = idz_frm(n,w,x,m=len(x)) y = idz_sfrm(l,n,w,x,m=len(x)) n,w = idz_frmi(m) n,w = idz_sfrmi(l,m) krank,list,rnorms = idzp_id(eps,a,m=shape(a,0),n=shape(a,1)) list,rnorms = idzr_id(a,krank,m=shape(a,0),n=shape(a,1)) approx = idz_reconid(col,list,proj,m=shape(col,0),krank=shape(col,1),n=len(list)) p = idz_reconint(list,proj,n=len(list),krank=shape(proj,0)) col = idz_copycols(a,krank,list,m=shape(a,0),n=shape(a,1)) u,v,s,ier = idz_id2svd(b,list,proj,m=shape(b,0),krank=shape(b,1),n=len(list),w=) snorm,v = idz_snorm(m,n,matveca,matvec,its,p1a=,p2a=,p3a=,p4a=,p1=,p2=,p3=,p4=,u=,matveca_extra_args=(),matvec_extra_args=()) snorm = idz_diffsnorm(m,n,matveca,matveca2,matvec,matvec2,its,p1a=,p2a=,p3a=,p4a=,p1a2=,p2a2=,p3a2=,p4a2=,p1=,p2=,p3=,p4=,p12=,p22=,p32=,p42=,w=,matveca_extra_args=(),matveca2_extra_args=(),matvec_extra_args=(),matvec2_extra_args=()) u,v,s,ier = idzr_svd(a,krank,m=shape(a,0),n=shape(a,1),r=) krank,iu,iv,is,w,ier = idzp_svd(eps,a,m=shape(a,0),n=shape(a,1)) krank,list,proj = idzp_aid(eps,a,work,proj,m=shape(a,0),n=shape(a,1)) krank,ra = idz_estrank(eps,a,w,ra,m=shape(a,0),n=shape(a,1)) krank,iu,iv,is,w,ier = idzp_asvd(eps,a,winit,w,m=shape(a,0),n=shape(a,1)) krank,list,proj,ier = idzp_rid(eps,m,n,matveca,proj,p1=,p2=,p3=,p4=,matveca_extra_args=()) krank,ra,ier = idz_findrank(eps,m,n,matveca,p1=,p2=,p3=,p4=,w=,matveca_extra_args=()) krank,iu,iv,is,w,ier = idzp_rsvd(eps,m,n,matveca,matvec,p1a=,p2a=,p3a=,p4a=,p1=,p2=,p3=,p4=,matveca_extra_args=(),matvec_extra_args=()) list,proj = idzr_aid(a,krank,w,m=shape(a,0),n=shape(a,1)) w = idzr_aidi(m,n,krank) u,v,s,ier = idzr_asvd(a,krank,w,m=shape(a,0),n=shape(a,1)) list,proj = idzr_rid(m,n,matveca,krank,p1=,p2=,p3=,p4=,matveca_extra_args=()) u,v,s,ier = idzr_rsvd(m,n,matveca,matvec,krank,p1a=,p2a=,p3a=,p4a=,p1=,p2=,p3=,p4=,w=,matveca_extra_args=(),matvec_extra_args=()) .

This module '_interpolative' is auto-generated with f2py (version:2). Functions: r = id_srand(n) id_srandi(t) id_srando() y = idd_frm(n,w,x,m=len(x)) y = idd_sfrm(l,n,w,x,m=len(x)) n,w = idd_frmi(m) n,w = idd_sfrmi(l,m) krank,list,rnorms = iddp_id(eps,a,m=shape(a,0),n=shape(a,1)) list,rnorms = iddr_id(a,krank,m=shape(a,0),n=shape(a,1)) approx = idd_reconid(col,list,proj,m=shape(col,0),krank=shape(col,1),n=len(list)) p = idd_reconint(list,proj,n=len(list),krank=shape(proj,0)) col = idd_copycols(a,krank,list,m=shape(a,0),n=shape(a,1)) u,v,s,ier = idd_id2svd(b,list,proj,m=shape(b,0),krank=shape(b,1),n=len(list),w=) snorm,v = idd_snorm(m,n,matvect,matvec,its,p1t=,p2t=,p3t=,p4t=,p1=,p2=,p3=,p4=,u=,matvect_extra_args=(),matvec_extra_args=()) snorm = idd_diffsnorm(m,n,matvect,matvect2,matvec,matvec2,its,p1t=,p2t=,p3t=,p4t=,p1t2=,p2t2=,p3t2=,p4t2=,p1=,p2=,p3=,p4=,p12=,p22=,p32=,p42=,w=,matvect_extra_args=(),matvect2_extra_args=(),matvec_extra_args=(),matvec2_extra_args=()) u,v,s,ier = iddr_svd(a,krank,m=shape(a,0),n=shape(a,1),r=) krank,iu,iv,is,w,ier = iddp_svd(eps,a,m=shape(a,0),n=shape(a,1)) krank,list,proj = iddp_aid(eps,a,work,proj,m=shape(a,0),n=shape(a,1)) krank,ra = idd_estrank(eps,a,w,ra,m=shape(a,0),n=shape(a,1)) krank,iu,iv,is,w,ier = iddp_asvd(eps,a,winit,w,m=shape(a,0),n=shape(a,1)) krank,list,proj,ier = iddp_rid(eps,m,n,matvect,proj,p1=,p2=,p3=,p4=,matvect_extra_args=()) krank,ra,ier = idd_findrank(eps,m,n,matvect,p1=,p2=,p3=,p4=,w=,matvect_extra_args=()) krank,iu,iv,is,w,ier = iddp_rsvd(eps,m,n,matvect,matvec,p1t=,p2t=,p3t=,p4t=,p1=,p2=,p3=,p4=,matvect_extra_args=(),matvec_extra_args=()) list,proj = iddr_aid(a,krank,w,m=shape(a,0),n=shape(a,1)) w = iddr_aidi(m,n,krank) u,v,s,ier = iddr_asvd(a,krank,w,m=shape(a,0),n=shape(a,1)) list,proj = iddr_rid(m,n,matvect,krank,p1=,p2=,p3=,p4=,matvect_extra_args=()) u,v,s,ier = iddr_rsvd(m,n,matvect,matvec,krank,p1t=,p2t=,p3t=,p4t=,p1=,p2=,p3=,p4=,w=,matvect_extra_args=(),matvec_extra_args=()) y = idz_frm(n,w,x,m=len(x)) y = idz_sfrm(l,n,w,x,m=len(x)) n,w = idz_frmi(m) n,w = idz_sfrmi(l,m) krank,list,rnorms = idzp_id(eps,a,m=shape(a,0),n=shape(a,1)) list,rnorms = idzr_id(a,krank,m=shape(a,0),n=shape(a,1)) approx = idz_reconid(col,list,proj,m=shape(col,0),krank=shape(col,1),n=len(list)) p = idz_reconint(list,proj,n=len(list),krank=shape(proj,0)) col = idz_copycols(a,krank,list,m=shape(a,0),n=shape(a,1)) u,v,s,ier = idz_id2svd(b,list,proj,m=shape(b,0),krank=shape(b,1),n=len(list),w=) snorm,v = idz_snorm(m,n,matveca,matvec,its,p1a=,p2a=,p3a=,p4a=,p1=,p2=,p3=,p4=,u=,matveca_extra_args=(),matvec_extra_args=()) snorm = idz_diffsnorm(m,n,matveca,matveca2,matvec,matvec2,its,p1a=,p2a=,p3a=,p4a=,p1a2=,p2a2=,p3a2=,p4a2=,p1=,p2=,p3=,p4=,p12=,p22=,p32=,p42=,w=,matveca_extra_args=(),matveca2_extra_args=(),matvec_extra_args=(),matvec2_extra_args=()) u,v,s,ier = idzr_svd(a,krank,m=shape(a,0),n=shape(a,1),r=) krank,iu,iv,is,w,ier = idzp_svd(eps,a,m=shape(a,0),n=shape(a,1)) krank,list,proj = idzp_aid(eps,a,work,proj,m=shape(a,0),n=shape(a,1)) krank,ra = idz_estrank(eps,a,w,ra,m=shape(a,0),n=shape(a,1)) krank,iu,iv,is,w,ier = idzp_asvd(eps,a,winit,w,m=shape(a,0),n=shape(a,1)) krank,list,proj,ier = idzp_rid(eps,m,n,matveca,proj,p1=,p2=,p3=,p4=,matveca_extra_args=()) krank,ra,ier = idz_findrank(eps,m,n,matveca,p1=,p2=,p3=,p4=,w=,matveca_extra_args=()) krank,iu,iv,is,w,ier = idzp_rsvd(eps,m,n,matveca,matvec,p1a=,p2a=,p3a=,p4a=,p1=,p2=,p3=,p4=,matveca_extra_args=(),matvec_extra_args=()) list,proj = idzr_aid(a,krank,w,m=shape(a,0),n=shape(a,1)) w = idzr_aidi(m,n,krank) u,v,s,ier = idzr_asvd(a,krank,w,m=shape(a,0),n=shape(a,1)) list,proj = idzr_rid(m,n,matveca,krank,p1=,p2=,p3=,p4=,matveca_extra_args=()) u,v,s,ier = idzr_rsvd(m,n,matveca,matvec,krank,p1a=,p2a=,p3a=,p4a=,p1=,p2=,p3=,p4=,w=,matveca_extra_args=(),matvec_extra_args=()) .

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/linalg/_interpolative.cpython-39-darwin.so#None
type: <class 'module'>
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