https://github.com/programkingabel/marcello_advanced_algos_ds
Advanced Algorithms and Data Structures to become a better Software Eng.
https://github.com/programkingabel/marcello_advanced_algos_ds
algorithms-and-data-structures
Last synced: 3 months ago
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Advanced Algorithms and Data Structures to become a better Software Eng.
- Host: GitHub
- URL: https://github.com/programkingabel/marcello_advanced_algos_ds
- Owner: ProgramKingAbel
- Created: 2025-01-17T09:18:57.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-02-04T18:16:26.000Z (10 months ago)
- Last Synced: 2025-02-04T19:26:43.110Z (10 months ago)
- Topics: algorithms-and-data-structures
- Language: Python
- Homepage:
- Size: 20.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Advanced Algorithms and Data Structures by Marcello La Roca
## Maslow's Hammer (The Law of the Instrument)
> "If your tool belt only has a hammer, you will be tempted to treat everything as a nail."
### Key Takeaway:
Leverage the context to find more efficient solutions rather than relying solely on familiar tools.
---
## Understanding Data Structures
A **Data Structure** is a specific solution for organizing data that provides storage for items and capabilities (actions/methods) for storing and retrieving them.
### Classification:
- **Abstract**: Defined by its operations and computational complexity without details on physical memory or storage.
- **Concrete**: A physical implementation of an Abstract Data Type (ADT).
### Abstract Data Type (ADT):
An ADT specifies:
1. Operations that can be performed on the data.
2. Computational complexity of those operations.
**Example:**
An ADT for a static array might specify:
- A container that stores a fixed number of elements.
- Each element is associated with an index (position).
- Supports random access to elements by their position.
**Concrete Implementation Details:**
1. Will the array size be fixed or modifiable?
2. Will allocation be static or dynamic?
3. Will it host elements of a single type or multiple types?
4. Will it be implemented as raw memory or an object with attributes?
---
## Describing a Data Structure
When defining a data structure, ensure a clear and comprehensive specification:
1. **Specify the API**:
- Focus on the methods’ input and output.
2. **High-Level Behavior**:
- Describe how the data structure functions conceptually.
3. **Concrete Implementation**:
- Provide detailed behavior of its implementation.
4. **Performance Analysis**:
- Analyze the performance of its methods.
---
## Algorithms and Data Structures
**Relationship:**
- **Data Structures**:
- Organize an area of memory to represent data.
- **Algorithms**:
- Procedures that transform data using sequences of instructions.
### Summary:
- Algorithms are defined by:
1. Input.
2. Output.
3. A sequence of instructions to process the input and produce the output.
- A data structure is a concrete implementation of an ADT. It consists of:
1. A structure to hold data.
2. Algorithms to manipulate the data.
---
## Abstraction in Problem Solving
**Abstracting a Problem:**
1. Create a clear problem statement.
2. Discuss and analyze the solution.
By separating the abstract definition from concrete implementation details, one can focus on finding efficient, context-specific solutions.