Minimize Cost Subject to Reliability Constraint |
Growth in Mathematics and engineering technology has ledto production of Mathematics for highly complex situations occurring inindustry, scientific research, defense and day to day life. The computerrevolution is fueled by an ever more rapid technological advancement. Today,computer hardware and Mathematics permeates our modern society. Computers areembedded in wristwatches, telephones, home appliances, buildings, automobiles,and aircraft. Science and technology demand high-performance hardware andhigh-quality Mathematics for making improvements and breakthroughs. We can lookat virtually any industry - automotive, avionics, oil, telecommunications,banking, semi-conductors, pharmaceuticals - all these industries are highlydependent on computers for their basic functioning. When the requirements forand dependencies on computers increase, the possibility of cries from computerfailures also increase. It is always desirable to remove a substantial numberof faults from the Mathematics. In fact the reliability of the Mathematics isdirectly proportional to the number of faults removed. Hence the problem ofmaximization of Mathematics reliability is identical to that of maximization offault removal. At the same time testing resource are not unlimited, and theyneed to be judiciously used.