Data Structures Through C in Depth (S. K. Srivastava, Deepali Srivastava) (Z-Library)

【One-Line Pitch】 A hands-on C programming handbook that walks you from algorithm basics and array manipulation through linked lists, stacks, queues, searching, sorting, and hashing—ideal for computer science students or self-taught programmers who want to build and understand data structures from the ground up. 【Book Arc】 - **Opening (~0%–9%)**: Sets up the environment (installing GCC on Linux/UNIX), defines what an algorithm is, and introduces the core vocabulary of data structures—including the three execution-time cases (worst, average, best) used to compare performance. - **Early (~9%–26%)**: Dives into arrays as the first concrete structure—covering declaration, insertion at various positions (beginning, given index, after/before an index), and deletion—then transitions to linked lists, explaining node-based representation and the mechanics of linking. - **Early-to-Middle (~26%–35%)**: Expands the linked-list family: singly linked lists with search, delete, sort, and reverse operations; doubly linked lists with forward/backward pointers; and circular linked lists where the last node points back to the first. - **Middle (~35%–48%)**: Introduces the stack (LIFO) and queue (FIFO) as abstract data types, with operations like push, pop, peek, enqueue, and dequeue, plus a note on infix notation for expressions. - **Middle-to-Late (~48%–52%)**: Moves into searching algorithms—linear search, binary search (which halves the search space), and interpolation search (which uses a probe formula for faster lookup)—before introducing hash tables for near-constant-time insertion and search. - **Late (~52% onward)**: Covers sorting algorithms in depth—bubble, insertion, selection, merge, and shell sort—along with key classification terms like in-place vs. not-in-place, stable vs. not-stable, and adaptive vs. non-adaptive sorting. 【Key Takeaways】 - **Algorithms are language-agnostic blueprints** (Early): The book stresses that algorithms are written step-by-step before coding, using common constructs like loops and conditionals—so you design the logic first, then translate to C. - **Arrays require shifting for insertion and deletion** (Early): Inserting at a given index means moving all subsequent elements down; deleting means shifting elements up and reducing the count. This O(n) cost is a fundamental trade-off to remember. - **Linked lists use nodes with data and a next pointer** (Early): The "first" link marks the start, each node points to the next, and the last node's next is null—this structure allows dynamic memory use but requires careful pointer management. - **Deletion in linked lists is a two-step pointer fix** (Early): To remove a node, you bypass it by pointing the previous node's next to the target's next, then nullify the target's pointer—this avoids breaking the chain. - **Doubly and circular lists add flexibility at a cost** (Early-to-Middle): Doubly linked lists allow backward traversal with a prev pointer; circular lists close the loop (last points to first), which simplifies some operations but complicates termination conditions. - **Stacks and queues are about order and access** (Middle): Stacks are LIFO (last-in, first-out) with push/pop/peek; queues are FIFO (first-in, first-out) with enqueue/dequeue—both rely on overflow checks and pointer management. - **Searching trades simplicity for speed** (Middle-to-Late): Linear search is straightforward but O(n); binary search halves the list each step (O(log n)) but requires sorted data; interpolation search uses a probe formula for even faster lookup in favorable cases. - **Hash tables prioritize speed over order** (Late): Using a hash function (like key % SIZE) to compute an index, insertion and search become very fast regardless of data size—but collisions require handling, often via probing to the next cell. 【Reading Tips】 - **Skim the environment setup** (~0–9%): If you already have GCC installed, skip the installation details and focus on the algorithm-writing examples—they establish the book's notation for the rest of the text. - **Deep-read the array and linked-list sections** (~9%–35%): These are the foundation for everything else. Trace the C code line-by-line, especially the insertion and deletion algorithms, and try running the programs to see the output. - **Watch for the pointer logic in lists** (~26%–35%): The doubly and circular list code is dense. Draw diagrams of the nodes and pointers as you read—this will make the delete and insert operations much clearer. - **Use the sorting section as a reference** (~52% onward): The book covers multiple algorithms (bubble, insertion, selection, merge, shell). Skim the "how it works" explanations first, then deep-read the C programs when you need to implement one. - **Take away the classification terms** (Late): Terms like in-place, stable, and adaptive are exam and interview favorites—make a quick note of which algorithms fit which category. 【Coverage Limits】 The excerpts cover arrays, linked lists (singly, doubly, circular), stacks, queues, searching (linear, binary, interpolation), hash tables, and sorting (bubble, insertion, selection, merge, shell). They do not cover advanced topics like trees, graphs, or recursion in detail—those are likely in later chapters not included in this sample.