Introduction to Optimum Design, 2nd Edition

C

Cabinet, design of, 30–32

Calculus concepts, 89–103

concept of necessary and sufficient conditions, 102–103

example—calculation of gradient vector, 91

example—evaluation of gradient and Hessian of function, 92–93

example—linear Taylor’s expansion of function, 95–96

example—Taylor’s expansion of a function of one variable, 94

example—Taylor’s expansion of a function of two variables, 95

gradient vector, 90–91

Hessian matrix, 92–93

quadratic forms and definite matrices, 96–102

Taylor’s expansion, 93–96

Can, design of, 18–20

Canonical form/general solution of Ax. = b, 202–203

Capabilities, desired interactive, 448–450

Cash flow diagrams, 594

Changing constraint limits, effect of, 143–145

Chromosome defined, 532

Clustering methods, ...