Data Structures and Algorithms: Annotated Reference with Examples

Livro digital

Título:
Data Structures and Algorithms: Annotated Reference with Examples

Autor:
Granville Barnett, Luca Del Tongo

Categoria:
Tecnologia > Backend

Doador:
Raffaello D. N.

Sinopse:
If you want a data structures and algorithms guide that behaves like a worked reference instead of a theory monologue, this one makes that explicit from the table of contents: it starts by clarifying what the book is and is not, what knowledge it assumes, how to read the pseudocode, and how to work through the examples before it even touches linked lists, binary search trees, heaps, sets, queues, AVL trees, sorting, numeric routines, searching, and string problems. That front matter matters because it frames the book as a practical companion, not a chest-thumping textbook. The main body keeps that promise with a clear split between data structures and algorithms. The data-structure half walks through linked lists, trees, heaps, queues, and balancing operations with insertion, deletion, traversal, and rebalancing steps made explicit; the algorithms half covers sorting, numeric routines, searching, and strings, then extends into appendices on iterative versus recursive walkthroughs, translation concerns, and testing. The result is less about proving grand theorems and more about helping the reader understand how these structures and routines actually behave when implemented. This makes it a strong fit for programmers who already know the basics of imperative and object-oriented programming and want a compact reference they can consult while building or revising real implementations. Its best quality is clarity of exposition: examples, pseudocode, and structure combine to make familiar topics easier to port into working code and easier to reason about when they stop behaving nicely.