Are these Implementation of Algorithms notes free?

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What does the Implementation of Algorithms revision sheet cover?

From an idea to a running program, Pseudocode against a flowchart, Pseudocode, Flowchart, Linear search, the idea, Tracing a linear search, Bubble sort, the idea, Which one actually fits the question, Tracing one bubble sort pass, Why the passes get shorter, Traps that cost marks, Tricks that save time.

Is this for Class 11 ISC Computer Science?

Yes, it is written for the ISC Computer Science syllabus.

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Implementation of Algorithms — Class 11 ISC Computer Science revision notes

A 3-page visual revision sheet for Implementation of Algorithms, written for Class 11 ISC Computer Science. Formulas, diagrams and the traps that cost marks, laid out to be read the night before rather than the term before. Free, and it opens inside CapCompass.

Implementation of Algorithms revision notes, page 1 of 3 — A preview of page 1 — all 3 pages open full size in the app.

Implementation of Algorithms in one look

searching a list and sorting one, worked by hand before either is trusted in code

From an idea to a running program

an algorithm is a finite, exact sequence of steps that solves a problem, written before any particular language is chosen
pseudocode writes those steps in plain structured English, close enough to code to translate directly, but with no compiler to please
a flowchart draws the same steps as boxes and arrows, useful for seeing the shape of a decision or a loop at a glance
the actual Java code comes last, once the steps themselves are already known to be correct

Pseudocode against a flowchart

Pseudocode

structured English, read top to bottom like a program
quick to write and easy to translate line by line into Java

Flowchart

boxes for steps, diamonds for decisions, arrows for the order
makes a branch or a loop's shape visible at a glance, at the cost of being slower to draw

Linear search, the idea

linear search checks every element in order, from the first index to the last, comparing each one to the target
it stops the moment a match is found, and returns that index
if the loop finishes without a match, the search returns an index of minus one to signal not found
it works on ANY array, sorted or not, which is the whole reason it is still worth knowing beside faster searches

Page 1 of 3. The full sheet, all 3 pages, opens free in the app.

What this Implementation of Algorithms sheet covers

From an idea to a running program
Pseudocode against a flowchart
Pseudocode
Flowchart
Linear search, the idea
Tracing a linear search
Bubble sort, the idea
Which one actually fits the question
Tracing one bubble sort pass
Why the passes get shorter
Traps that cost marks
Tricks that save time

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