You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: nesdis.m
    path of file: ./repos/SuiteSparse/CHOLMOD/MATLAB
    
    the code of the file until where you have to start completion: function [p, cparent, cmember] = nesdis (A, mode, opts)               %#ok
%NESDIS nested dissection ordering via CHOLMOD's nested dissection.
%

    
function [p, cparent, cmember] = nesdis (A, mode, opts)               %#ok
%NESDIS nested dissection ordering via CHOLMOD's nested dissection.
%
%   Example:
%   p = nesdis(A)         returns p such chol(A(p,p)) is typically
%                         sparser than chol(A).  Uses tril(A) and assumes
%                         A is symmetric.
%   p = nesdis(A,'sym')   the same as p=nesdis(A).
%   p = nesdis(A,'col')   returns p so that chol(A(:,p)'*A(:,p)) is
%                         typically sparser than chol(A'*A).
%   p = nesdis(A,'row')   returns p so that chol(A(p,:)*A(p,:)') is
%                         typically sparser than chol(A'*A).
%
% A must be square for p=nesdis(A) or nesdis(A,'sym').
%
% With three output arguments, [p cp cmember] = nesdis(...), the
% separator tree and node-to-component mapping is returned.  cmember(i)=c
% means that node i is in component c, where c is in the range of 1 to
% the number of components.  length(cp) is the number of components
% found.  cp is the separator tree; cp(c) is the parent of component c,
% or 0 if c is a root.  There can be anywhere from 1 to n components,
% where n is dimension of A, A*A', or A'*A.  cmember is a vector of
% length n.
%
% An optional 3rd input argument, nesdis (A,mode,opts), modifies the
% default parameters.  opts(1) specifies the smallest subgraph that
% should not be partitioned (default is 200).  opts(2) is 0 by default;
% if nonzero, connected components (formed after the node separator is
% removed) are partitioned independ