Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
assert_cond2reqdigits
Suggests the number of required digits, given the condition number.
Syntax
d = assert_cond2reqdigits ( condition ) d = assert_cond2reqdigits ( condition , offset ) d = assert_cond2reqdigits ( condition , offset , b )
Parameters
- condition :
a matrix of doubles, the condition number. The condition number must be strictly positive.
- offset :
a matrix of doubles, a shift for the number of required base-b digits (default offset=0). For example, offset=-1 produces a smaller number of required digits (reduces the required accuracy), offset=1 produces a larger number of required digits (increases the required accuracy).
- b :
a matrix of doubles, integer values, the b (default b = 10).
- d :
a matrix of doubles, the number of required digits. This is a positive real, between 0 and 15.95, if b=10 or between 0 and 53, if b=2.
Description
Depending on the condition number, returns the corresponding number of required decimal digits.
Any optional parameter equal to the empty matrix [] is set to its default value.
We emphasize that this number of required digits is only a suggestion. Indeed, there may be correct reasons of using a lower or a higher relative tolerance.
- Consider the case where an excellent algorithm is able to make accurate computations, even for an ill-conditioned problem. In this case, we may require more accuracy (positive offset).
- Consider the case where there is a trade-off between performance and accuracy, where performance wins. In this case, we may require less accuracy (negative offset).
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
The algorithm is the following. We compute the base-10 logarithm of condition, then subtract the offset. This number represents the expected number of lost digits. We project it into the interval [0,dmax], where dmax -log10(2^(-53)) is the maximum achievable number of accurate digits for doubles. We compute the number of required digits d, by difference between dmax and the number of lost digits. Then the relative tolerance is 10^-d.
Examples
assert_cond2reqdigits ( 0 ) // 15.95459 assert_cond2reqdigits ( 1 ) // 15.95459 assert_cond2reqdigits ( 1.e1 ) // 14.95459 assert_cond2reqdigits ( 1.e2 ) // 13.95459 assert_cond2reqdigits ( 1.e3 ) // 12.95459 assert_cond2reqdigits ( 1.e16 ) // 0 assert_cond2reqdigits ( 1.e17 ) // 0 assert_cond2reqdigits ( 1.e18 ) // 0 // Matrix input. condition = [0,1,10,100,1000,1.D13,1.D14,1.D15,1.D16,1.D17,1.D18]; assert_cond2reqdigits ( condition ) // Using offset // Negative offset : decrease number of required digits (requires less accuracy) assert_cond2reqdigits ( 1.e2 , [0 -1] ) // [13.95459 12.95459] // Positive offset : increase number of required digits (requires more accuracy) // See that the impact of offset is constrained. assert_cond2reqdigits ( 1.e2 , [0 1 2 3] ) // [13.95459 14.95459 15.95459 15.95459] // Negative offset (requires less accuracy) // See that the impact of offset is constrained. assert_cond2reqdigits ( 1.e14 , [0 -1 -2 -3] ) // [1.9545898 0.9545898 0. 0.] // Using base-2 assert_cond2reqdigits ( 0 , [] , 2 ) // 53 assert_cond2reqdigits ( 1 , [] , 2 ) // 53 assert_cond2reqdigits ( 1.e1 , [] , 2 ) // 49.678072 assert_cond2reqdigits ( 1.e2 , [] , 2 ) // 46.356144 assert_cond2reqdigits ( 1.e3 , [] , 2 ) // 43.034216 assert_cond2reqdigits ( 1.e16 , [] , 2 ) // 0 assert_cond2reqdigits ( 1.e17 , [] , 2 ) // 0 assert_cond2reqdigits ( 1.e18 , [] , 2 ) // 0 // Plot the number of required decimal digits depending on the condition condition = logspace(0,18,1000); d = assert_cond2reqdigits ( condition ); plot(condition,d) h=gcf(); h.children.log_flags="lnn"; h.children.children.children.thickness=4; xt = h.children.x_ticks; xt.locations = 10^(0:2:18)'; xt.labels = ["10^0";"10^2";"10^4";"10^6";"10^8";"10^10";"10^12";"10^14";"10^16";"10^18"]; h.children.x_ticks=xt; xtitle("Number of required digits","Condition","Required decimal digits"); // Plot the number of required binary digits depending on the condition condition = logspace(0,18,1000); d = assert_cond2reqdigits ( condition , [] , 2 ); plot(condition,d) h=gcf(); h.children.log_flags="lnn"; h.children.children.children.thickness=4; xt = h.children.x_ticks; xt.locations = 10^(0:2:18)'; xt.labels = ["10^0";"10^2";"10^4";"10^6";"10^8";"10^10";"10^12";"10^14";"10^16";"10^18"]; h.children.x_ticks=xt; xtitle("Number of required digits","Condition","Required binary digits"); d = assert_cond2reqdigits ( condition , +10 , 2 ); plot(condition,d,"r") d = assert_cond2reqdigits ( condition , -10 , 2 ); plot(condition,d,"g") legend(["Offset=0","Offset=+10","Offset=-10"]);
History
| Version | Description |
| 5.4.0 | Function introduced |
| Report an issue | ||
| << assert_cond2reltol | Assert | assert_generror >> |