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# Copyright (c) 1994 David I. Bell and Landon Curt Noll# Permission is granted to use, distribute, or modify this source,# provided that this copyright notice remains intact.The following calc library files are provided because they serve as examples of how use the calc language, and because the authors thought them to be useful!If you write something that you think is useful, please send it to: dbell@canb.auug.org.au chongo@toad.com {uunet,pyramid,sun}!hoptoad!chongoBy convention, a lib file only defines and/or initializes functions,objects and variables. (The regression test is an exception.) Also byconvention, the a usage message regarding each important object andfunction is printed at the time of the read.If a lib file needs to load another lib file, it should use the -onceversion of read: /* pull in needed library files */ read -once "cryrand" read -once "curds"This will cause the needed library files to be read once. If thesefiles have already been read, the read -once will act as a noop.By convention, the global variable lib_debug is used to controlthe verbosity of debug information printed by lib files. By default,the lib_debug has a value of 0. If lib_debug < 0, then no debugmessages are printed. If lib_debug >= 0, then only usage message regarding each important object are printed at the time of the read.If lib_debug == 0, then only such usage messages are printed; noother debug information is printed.To conform to the above convention, your lib files should end withlines of the form: global lib_debug; if (lib_debug >= 0) { print "funcA(side_a, side_b, side_c) defined"; print "funcB(size, mass) defined"; }=-=bernoulli.cal B(n) Calculate the nth Bernoulli number.bigprime.cal bigprime(a, m, p) A prime test, base a, on p*2^x+1 for even x>m.chrem.cal chrem(r1,m1 [,r2,m2, ...]) chrem(rlist, mlist) Chinese remainder theorem/problem solver.cryrand.cal shufrand() sshufrand(seed) rand([a, [b]]) srand(seed) cryrand([a, [b]]) scryrand([seed, [len1, len2]]) random([a, [b]]) srandom(seed) obj cryobj randstate([cryobj | 0]) nxtprime(n, [val, modulus]) Cryptographically strong pseudo-random number generator library. deg.cal dms(deg, min, sec) dms_add(a, b) dms_neg(a) dms_sub(a, b) dms_mul(a, b) dms_print(a) Calculate in degrees, minutes, and seconds.ellip.cal factor(iN, ia, B, force) Attempt to factor using the elliptic functions: y^2 = x^3 + a*x + b.lucas.cal lucas(h, n) Perform a primality test of h*2^n-1, with 1<=h<2*n.lucas_chk.cal lucas_chk(high_n) Test all primes of the form h*2^n-1, with 1<=h<200 and n <= high_n. Requires lucas.cal to be loaded. The highest useful high_n is 1000.lucas_tbl.cal Lucasian criteria for primality tables.mersenne.cal mersenne(p) Perform a primality test of 2^p-1, for prime p>1.mod.cal mod(a) mod_print(a) mod_one() mod_cmp(a, b) mod_rel(a, b) mod_add(a, b) mod_sub(a, b) mod_neg(a) mod_mul(a, b) mod_square(a) mod_inc(a) mod_dec(a) mod_inv(a) mod_div(a, b) mod_pow(a, b) Routines to handle numbers modulo a specified number.nextprime.cal nextprime(n, tries) Function to find the next prime (probably).pell.cal pellx(D) pell(D) Solve Pell's equation; Returns the solution X to: X^2 - D * Y^2 = 1. Type the solution to pells equation for a particular D.pi.cal qpi(epsilon) Calculate pi within the specified epsilon using the quartic convergence iteration.pollard.cal factor(N, N, ai, af) Factor using Pollard's p-1 method.poly.cal Calculate with polynomials of one variable. There are many functions. Read the documentation in the library file.psqrt.cal psqrt(u, p) Calculate square roots modulo a primequat.cal quat(a, b, c, d) quat_print(a) quat_norm(a) quat_abs(a, e) quat_conj(a) quat_add(a, b) quat_sub(a, b) quat_inc(a) quat_dec(a) quat_neg(a) quat_mul(a, b) quat_div(a, b) quat_inv(a) quat_scale(a, b) quat_shift(a, b) Calculate using quaternions of the form: a + bi + cj + dk. In these functions, quaternians are manipulated in the form: s + v, where s is a scalar and v is a vector of size 3.randmprime.cal randmprime(bits, seed [,dbg]) Find a prime of the form h*2^n-1 >= 2^bits for some given x. The initial search points for 'h' and 'n' are selected by a cryptographic pseudo-random number generator. The optional argument, dbg, if set to 1, 2 or 3 turn on various debugging print statements.regress.cal Test the correct execution of the calculator by reading this library file. Errors are reported with '****' mssages, or worse. :-)solve.cal solve(low, high, epsilon) Solve the equation f(x) = 0 to within the desired error value for x. The function 'f' must be defined outside of this routine, and the low and high values are guesses which must produce values with opposite signs.sumsq.cal ss(p) Determine the unique two positive integers whose squares sum to the specified prime. This is always possible for all primes of the form 4N+1, and always impossible for primes of the form 4N-1.surd.cal surd(a, b) surd_print(a) surd_conj(a) surd_norm(a) surd_value(a, xepsilon) surd_add(a, b) surd_sub(a, b) surd_inc(a) surd_dec(a) surd_neg(a) surd_mul(a, b) surd_square(a) surd_scale(a, b) surd_shift(a, b) surd_div(a, b) surd_inv(a) surd_sgn(a) surd_cmp(a, b) surd_rel(a, b) Calculate using quadratic surds of the form: a + b * sqrt(D).test1000.cal This script is used by regress.cal to test the read and use keywords.unitfrac.cal unitfrac(x) Represent a fraction as sum of distinct unit fractions.varargs.cal sc(a, b, ...) Example program to use 'varargs'. Program to sum the cubes of all the specified numbers.
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