section 3 · Library functions 📚

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P (continued)

PS_scale(3)Sets scaling factor✨
PS_set_border_color(3)Sets color of border for annotations✨
PS_set_border_dash(3)Sets length of dashes for border of annotations✨
PS_set_border_style(3)Sets border style of annotations✨
PS_set_gstate(3)Sets a previously created graphic state✨
PS_set_info(3)Sets information fields of document✨
PS_set_parameter(3)Sets certain parameters✨
PS_set_text_pos(3)Sets position for text output✨
PS_set_value(3)Sets certain values✨
PS_setcolor(3)Sets current color✨
PS_setdash(3)Sets appearance of a dashed line✨
PS_setflat(3)Sets flatness✨
PS_setfont(3)Sets font to use for following output✨
PS_setgray(3)Sets gray value✨
PS_setlinecap(3)Sets appearance of line ends✨
PS_setlinejoin(3)Sets how contected lines are joined✨
PS_setlinewidth(3)Sets width of a line✨
PS_setmiterlimit(3)Sets the miter limit✨
PS_setpolydash(3)Sets appearance of a dashed line✨
PS_shading(3)Create shading✨
PS_shading_pattern(3)Create a shading pattern✨
PS_shfill(3)Draws a shading✨
PS_show(3)Output text at current position✨
PS_show2(3)Output text with given length✨
PS_show_boxed(3)Output text in a box✨
PS_show_xy(3)Output text at given position✨
PS_show_xy2(3)Output text at given position✨
PS_shutdown(3)Final clean up of library✨
PS_string_geometry(3)Gets geometry of a string✨
PS_stringwidth(3)Get width of a string✨
PS_stringwidth2(3)Gets width of a string✨
PS_stroke(3)Draws the current path✨
PS_symbol(3)Output glyph at a certain position in the font encoding vector✨
PS_symbol_name(3)Get name of a glyph✨
PS_symbol_width(3)Get width of a glyph✨
PS_translate(3)Sets translation✨
pscsum1(3)return the sum of absolute values of a complex distributed vector sub( X ) in ASUM,✨
psdbsv(3)solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psdbtrf(3)compute a LU factorization of an N-by-N real banded diagonally dominant-like distributed matrix with bandwidth BWL, BWU✨
psdbtrs(3)solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psdbtrsv(3)solve a banded triangular system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psdtsv(3)solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psdttrf(3)compute a LU factorization of an N-by-N real tridiagonal diagonally dominant-like distributed matrix A(1:N, JA:JA+N-1)✨
psdttrs(3)solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psdttrsv(3)solve a tridiagonal triangular system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
pselect(3p)synchronous I/O multiplexing✨
pselect(3posix)synchronous I/O multiplexing✨
psetex(3valkey)Sets both string value and expiration time in milliseconds of a key. The key is created if it doesn’t exist.✨
psgbsv(3)solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psgbtrf(3)compute a LU factorization of an N-by-N real banded distributed matrix with bandwidth BWL, BWU✨
psgbtrs(3)solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)✨
psgebd2(3)reduce a real general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) to upper or lower bidiagonal form B by an orthogonal transformation✨
psgebrd(3)reduce a real general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) to upper or lower bidiagonal form B by an orthogonal transformation✨
psgecon(3)estimate the reciprocal of the condition number of a general distributed real matrix A(IA:IA+N-1,JA:JA+N-1), in either the 1-norm or the infinity-norm, using the LU factorization computed by PSGETRF✨
psgeequ(3)compute row and column scalings intended to equilibrate an M- by-N distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA:JA+N-1) and reduce its condition number✨
psgehd2(3)reduce a real general distributed matrix sub( A ) to upper Hessenberg form H by an orthogonal similarity transforma- tion✨
psgehrd(3)reduce a real general distributed matrix sub( A ) to upper Hessenberg form H by an orthogonal similarity transforma- tion✨
psgelq2(3)compute a LQ factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = L * Q✨
psgelqf(3)compute a LQ factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = L * Q✨
psgels(3)solve overdetermined or underdetermined real linear systems involving an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1),✨
psgeql2(3)compute a QL factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L✨
psgeqlf(3)compute a QL factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L✨
psgeqpf(3)compute a QR factorization with column pivoting of a M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)✨
psgeqr2(3)compute a QR factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * R✨
psgeqrf(3)compute a QR factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * R✨
psgerfs(3)improve the computed solution to a system of linear equations and provides error bounds and backward error estimates for the solutions✨
psgerq2(3)compute a RQ factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = R * Q✨
psgerqf(3)compute a RQ factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = R * Q✨
psgesv(3)compute the solution to a real system of linear equations sub( A ) * X = sub( B ),✨
psgesvd(3)compute the singular value decomposition (SVD) of an M-by-N matrix A, optionally computing the left and/or right singular vectors✨
psgesvx(3)use the LU factorization to compute the solution to a real system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),✨
psgetf2(3)compute an LU factorization of a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) using partial pivoting with row interchanges✨
psgetrf(3)compute an LU factorization of a general M-by-N distributed matrix sub( A ) = (IA:IA+M-1,JA:JA+N-1) using partial pivoting with row interchanges✨
psgetri(3)compute the inverse of a distributed matrix using the LU factorization computed by PSGETRF✨
psgetrs(3)solve a system of distributed linear equations op( sub( A ) ) * X = sub( B ) with a general N-by-N distributed matrix sub( A ) using the LU factorization computed by PSGETRF✨
psggqrf(3)compute a generalized QR factorization of an N-by-M matrix sub( A ) = A(IA:IA+N-1,JA:JA+M-1) and an N-by-P matrix sub( B ) = B(IB:IB+N-1,JB:JB+P-1)✨
psggrqf(3)compute a generalized RQ factorization of an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)✨
PSGI(3pm)Perl Web Server Gateway Interface Specification✨
PSGI::Extensions(3pm)PSGI extensions✨
PSGI::FAQ(3pm)Frequently Asked Questions and answers✨
psiginfo(3)print signal description✨
psiginfo(3p)write signal information to standard error✨
psiginfo(3posix)write signal information to standard error✨
psignal(3)print signal description✨
pskc_add_keypackage(3)API function✨
pskc_build_xml(3)API function✨
pskc_check_version(3)API function✨
pskc_done(3)API function✨
pskc_free(3)API function✨
pskc_get_cryptomodule_id(3)API function✨
pskc_get_device_devicebinding(3)API function✨
pskc_get_device_expirydate(3)API function✨
pskc_get_device_issueno(3)API function✨
pskc_get_device_manufacturer(3)API function✨
pskc_get_device_model(3)API function✨
pskc_get_device_serialno(3)API function✨
pskc_get_device_startdate(3)API function✨
pskc_get_device_userid(3)API function✨
pskc_get_id(3)API function✨
pskc_get_key_algorithm(3)API function✨
pskc_get_key_algparm_chall_checkdigits(3)API function✨
pskc_get_key_algparm_chall_encoding(3)API function✨
pskc_get_key_algparm_chall_max(3)API function✨
pskc_get_key_algparm_chall_min(3)API function✨
pskc_get_key_algparm_resp_checkdigits(3)API function✨
pskc_get_key_algparm_resp_encoding(3)API function✨
pskc_get_key_algparm_resp_length(3)API function✨
pskc_get_key_algparm_suite(3)API function✨
pskc_get_key_data_b64secret(3)API function✨
pskc_get_key_data_counter(3)API function✨
pskc_get_key_data_secret(3)API function✨
pskc_get_key_data_time(3)API function✨
pskc_get_key_data_timedrift(3)API function✨
pskc_get_key_data_timeinterval(3)API function✨
pskc_get_key_friendlyname(3)API function✨
pskc_get_key_id(3)API function✨
pskc_get_key_issuer(3)API function✨
pskc_get_key_policy_expirydate(3)API function✨
pskc_get_key_policy_keyusages(3)API function✨
pskc_get_key_policy_numberoftransactions(3)API function✨
pskc_get_key_policy_pinencoding(3)API function✨
pskc_get_key_policy_pinkeyid(3)API function✨
pskc_get_key_policy_pinmaxfailedattempts(3)API function✨
pskc_get_key_policy_pinmaxlength(3)API function✨
pskc_get_key_policy_pinminlength(3)API function✨
pskc_get_key_policy_pinusagemode(3)API function✨
pskc_get_key_policy_startdate(3)API function✨
pskc_get_key_profileid(3)API function✨
pskc_get_key_reference(3)API function✨
pskc_get_key_userid(3)API function✨
pskc_get_keypackage(3)API function✨
pskc_get_signed_p(3)API function✨
pskc_get_version(3)API function✨
pskc_global_done(3)API function✨
pskc_global_init(3)API function✨
pskc_global_log(3)API function✨
pskc_init(3)API function✨
pskc_keyusage2str(3)API function✨
pskc_output(3)API function✨
pskc_parse_from_memory(3)API function✨
pskc_pinusagemode2str(3)API function✨
pskc_set_cryptomodule_id(3)API function✨
pskc_set_device_devicebinding(3)API function✨
pskc_set_device_expirydate(3)API function✨
pskc_set_device_issueno(3)API function✨
pskc_set_device_manufacturer(3)API function✨
pskc_set_device_model(3)API function✨
pskc_set_device_serialno(3)API function✨
pskc_set_device_startdate(3)API function✨
pskc_set_device_userid(3)API function✨
pskc_set_id(3)API function✨
pskc_set_key_algorithm(3)API function✨
pskc_set_key_algparm_chall_checkdigits(3)API function✨
pskc_set_key_algparm_chall_encoding(3)API function✨
pskc_set_key_algparm_chall_max(3)API function✨
pskc_set_key_algparm_chall_min(3)API function✨
pskc_set_key_algparm_resp_checkdigits(3)API function✨
pskc_set_key_algparm_resp_encoding(3)API function✨
pskc_set_key_algparm_resp_length(3)API function✨
pskc_set_key_algparm_suite(3)API function✨
pskc_set_key_data_b64secret(3)API function✨
pskc_set_key_data_counter(3)API function✨
pskc_set_key_data_secret(3)API function✨
pskc_set_key_data_time(3)API function✨
pskc_set_key_data_timedrift(3)API function✨
pskc_set_key_data_timeinterval(3)API function✨
pskc_set_key_friendlyname(3)API function✨
pskc_set_key_id(3)API function✨
pskc_set_key_issuer(3)API function✨
pskc_set_key_policy_expirydate(3)API function✨
pskc_set_key_policy_keyusages(3)API function✨
pskc_set_key_policy_numberoftransactions(3)API function✨
pskc_set_key_policy_pinencoding(3)API function✨
pskc_set_key_policy_pinkeyid(3)API function✨
pskc_set_key_policy_pinmaxfailedattempts(3)API function✨
pskc_set_key_policy_pinmaxlength(3)API function✨
pskc_set_key_policy_pinminlength(3)API function✨
pskc_set_key_policy_pinusagemode(3)API function✨
pskc_set_key_policy_startdate(3)API function✨
pskc_set_key_profileid(3)API function✨
pskc_set_key_reference(3)API function✨
pskc_set_key_userid(3)API function✨
pskc_set_version(3)API function✨
pskc_sign_x509(3)API function✨
pskc_str2keyusage(3)API function✨
pskc_str2pinusagemode(3)API function✨
pskc_str2valueformat(3)API function✨
pskc_strerror(3)API function✨
pskc_strerror_name(3)API function✨
pskc_validate(3)API function✨
pskc_valueformat2str(3)API function✨
pskc_verify_x509crt(3)API function✨
pslabad(3)take as input the values computed by PSLAMCH for underflow and overflow, and returns the square root of each of these values if the log of LARGE is sufficiently large✨
pslabrd(3)reduce the first NB rows and columns of a real general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) to upper or lower bidiagonal form by an orthogonal transformation Q' * A * P,✨
pslacon(3)estimate the 1-norm of a square, real distributed matrix A✨
pslaconsb(3)look for two consecutive small subdiagonal elements by seeing the effect of starting a double shift QR iteration given by H44, H33, & H43H34 and see if this would make a subdiagonal negligible✨
pslacp2(3)copie all or part of a distributed matrix A to another distributed matrix B✨
pslacp3(3)i an auxiliary routine that copies from a global parallel array into a local replicated array or vise versa✨
pslacpy(3)copie all or part of a distributed matrix A to another distributed matrix B✨
pslaevswp(3)move the eigenvectors (potentially unsorted) from where they are computed, to a ScaLAPACK standard block cyclic array, sorted so that the corresponding eigenvalues are sorted✨