1 / 11

Components of Scientific Programming

Learn about the components of scientific programming, including problem definition, code development, logic assembly, testing, visualization, optimization, analysis, and synthesis. Focus on sorting a row array and searching a grid. Use MATLAB for implementation.

edwardhamm
Download Presentation

Components of Scientific Programming

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Components of Scientific Programming • Definition of problem • Physical/mathematical formulation • Development of computer code (Focus today) • Development of logic (e.g., flowchart) • Assembly of correct lines of code • Testing and troubleshooting • Visualization of results • Optimization of code • Analysis of results • Synthesis

  2. Definition of problem(Sorting a row array) • Sort through row array A of random numbers, and organize them from left to right by increasing numerical value in array B • Example • A = rand(1,4) • A = 0.7621 0.4565 0.0185 0.8214 • B = 0.0185 0.4565 0.7621 0.8214

  3. Searching an Array j=1 j=2 j=3 j=4 j=5 j=6 j=7 j=8 j=9 x1 x2 x3 x4 x5 x6 x7 x8 x9 Here, the column number is “j”

  4. Development of logic (first try) Start Create array A of length n Make copy array B B(j) = C For j = 1:n-1 Stop B(j+1) = B(j) No Is B(j)>B(j+1)? C= B(j+1) Yes

  5. function [A,B] = gg250_lab_06_try(n) % function [A,B] = gg250_lab_try(n) % Partially sorts the elements in a vector array % of n-elements on a single pass through the array. % Input parameters % n = input array % Output parameters % A = Unsorted array % B = Partially sorted array % Example % [A,B] = gg250_lab_06_try(5) Assembly of correct lines of code (a)

  6. % Make copies of the input array A = rand(n,1); B = A; % Find the number of elements in the array n = length(A) % Step through the elements one-by-one, switching % consecutive elements such that the lower element % comes before the higher element for j = 1:(n-1) if B(j) > B(j+1) C = B(j+1); B(j+1) = B(j); B(j) = C; end end Assembly of correct lines of code (b)

  7. Testing and troubleshooting

  8. Visualization of results • Can plot the values of the elements vs. their position in the array by including the command plot B

  9. Optimization of code • See Matlab's sort command

  10. Searching a Grid j=1 j=2 j=3 j=4 j=5j=6 j=7 j=8 j=9 y5 y4 y3 y2 y1 i=5 i=4 i=3 i=2 i=1 (i= 3, j = 2) x1 x2 x3 x4 x5 x6 x7 x8 x9 Here, the row number is “i” and the column number is “j”

  11. Searching a Grid U = rand(5,9); [n,m] = size(U); for i = 1:n for j = 1:m if i==3 & j ==2; U(i,j) = 1;end end end Alternatives U(3,2) = 2; Or search a column vector form of U T = U(:); T((2-1).*n + 3) = 3; T = reshape(T,n,m) j=1 j=2 j=3 j=4 j=5j=6 j=7 j=8 j=9 y5 y4 y3 y2 y1 i=5 i=4 i=3 i=2 i=1 (i= 3, j = 2) x1 x2 x3 x4 x5 x6 x7 x8 x9

More Related