| OCR Text |
Show 50 the initial This choice for convergence, initial of be can guess far does iteration a local a zero itself two the not usually given parameter a the to desired desire value is algorithm and existence described the more of declare failure. involved for scheme in the bivariate and to do guess). by some something which guaranteed either is an indication of the boundary edges of the boundaries. The of the the position another as (e.g. zero of solving detail, passing algorithm "correct" is of the requirement outside the boundaries first of Either initial and give Another zeros the iterative is aware for detection outside to be look not and algorithm it that Trouble augmented an and to or zero maximum/minimum. local be patch trouble. the to a initial "wrong" problems we of result a enough the ways. as one must these to the to closest Specifically, converge The of converges detect to at patch one close lines line. scan regions scan lead Newton-Raphson scheme them. begins it For to next be usually away in the on always. converge, or is which the about zero ot n enough not minimum, mechanisms a will guess but usually manifests to position change dramatically between which Thus its of guess it the cause for univariate serves as optimization a the problem model for schemes to a follow. One Univariate Given a Function function f(u) and an initial guess uO we wish |