The functions described here are predicates, that is, they return a
true/false value where
nil means false and anything else means
true. These predicates are expanded by
defmath, for example,
math-zerop. In many cases they correspond
to native Lisp functions by the same name, but are extended to cover
the full range of Calc data types.
Returns true if x is numerically zero, in any of the Calc data types. (Note that for some types, such as error forms and intervals, it never makes sense to return true.) In
defmath, the expression ‘(= x 0)’ will automatically be converted to ‘(math-zerop x)’, and ‘(/= x 0)’ will be converted to ‘(not (math-zerop x))’.
Returns true if x is negative. This accepts negative real numbers of various types, negative HMS and date forms, and intervals in which all included values are negative. In
defmath, the expression ‘(< x 0)’ will automatically be converted to ‘(math-negp x)’, and ‘(>= x 0)’ will be converted to ‘(not (math-negp x))’.
Returns true if x is positive (and non-zero). For complex numbers, none of these three predicates will return true.
Returns true if x is “negative-looking.” This returns true if x is a negative number, or a formula with a leading minus sign such as ‘-a/b’. In other words, this is an object which can be made simpler by calling
Returns true if x is numerically an integer, i.e., either a true integer or a float with no significant digits to the right of the decimal point.
Returns true if x is numerically, but not literally, an integer. A value is
num-integerpif it is
messy-integerp(but it is never both at once).
Returns true if x is an even integer, or a formula with a leading multiplicative coefficient which is an even integer.
Returns true if x is a real number, i.e., an integer, fraction, or floating-point number.
Returns true if x is a float, or a complex number, error form, interval, date form, or modulo form in which at least one component is a float.
Returns true if x is a rectangular or polar complex number (but not a real number).
Returns true if x is a vector (this simply checks if its argument is a list whose first element is the symbol
Returns true if x is a matrix, i.e., a vector of one or more vectors, all of the same size.
Returns true if x is any numeric Calc object, including real and complex numbers, HMS forms, date forms, error forms, intervals, and modulo forms. (Note that error forms and intervals may include formulas as their components; see
Returns true if x is an object or a vector. This also accepts incomplete objects, but it rejects variables and formulas (except as mentioned above for
Returns true if x is a “primitive” or “atomic” Calc object, i.e., one whose components cannot be regarded as sub-formulas. This includes variables, and all
objectptypes except error forms and intervals.
Returns true if x is constant, i.e., a real or complex number, HMS form, date form, or error form, interval, or vector all of whose components are
Returns true if x is numerically less than y. Returns false if x is greater than or equal to y, or if the order is undefined or cannot be determined. Generally speaking, this works by checking whether ‘x - y’ is
defmath, the expression ‘(< x y)’ will automatically be converted to ‘(lessp x y)’; expressions involving
>=are similarly converted in terms of
Returns true if x comes before y in a canonical ordering of Calc objects. If x and y are both real numbers, this will be the same as
lessp. But whereas
lesspconsiders other types of objects to be unordered,
beforepputs any two objects into a definite, consistent order. The
beforepfunction is used by the V S vector-sorting command, and also by Calc's algebraic simplifications to put the terms of a product into canonical order: This allows ‘x y + y x’ to be simplified easily to ‘2 x y’.
This is the standard Lisp
equalpredicate; it returns true if x and y are structurally identical. This is the usual way to compare numbers for equality, but note that
equalwill treat 0 and 0.0 as different.
Returns true if x and y are numerically equal, either because they are
equal, or because their difference is
defmath, the expression ‘(= x y)’ will automatically be converted to ‘(math-equal x y)’.
Returns true if x and n are numerically equal, where n is a fixnum which is not a multiple of 10. This will automatically be used by
defmathin place of the more general
Returns true if x and y, as floating-point numbers, are equal except possibly in the last decimal place. For example, 314.159 and 314.166 are considered nearly equal if the current precision is 6 (since they differ by 7 units), but not if the current precision is 7 (since they differ by 70 units). Most functions which use series expansions use
with-extra-precto evaluate the series with 2 extra digits of precision, then use
nearly-equalto decide when the series has converged; this guards against cumulative error in the series evaluation without doing extra work which would be lost when the result is rounded back down to the current precision. In
defmath, this can be written ‘(~= x y)’. The x and y can be numbers of any kind, including complex.
Returns true if x is nearly zero, compared to y. This checks whether x plus y would by be
nearly-equalto y itself, to within the current precision, in other words, if adding x to y would have a negligible effect on y due to roundoff error. X may be a real or complex number, but y must be real.
Return true if the formula x represents a true value in Calc, not Lisp, terms. It tests if x is a non-zero number or a provably non-zero formula.
Abort the current function evaluation due to unacceptable argument values. This calls ‘(calc-record-why pred val)’, then signals a Lisp error which
normalizewill trap. The net effect is that the function call which led here will be left in symbolic form.
If Symbolic mode is enabled, this will signal an error that causes
normalizeto leave the formula in symbolic form, with the message “Inexact result.” (This function has no effect when not in Symbolic mode.) Note that if your function calls ‘(sin 5)’ in Symbolic mode, the
sinfunction will call
inexact-value, which will cause your function to be left unsimplified. You may instead wish to call ‘(normalize (list 'calcFunc-sin 5))’, which in Symbolic mode will return the formula ‘sin(5)’ to your function.