Data Structures: Introduction, Searching, and Sorting

The choice of an abstract data type (ADT) is significant as it determines the beginning of the choice of a data structure. It provides a functional definition that is independent of implementation and guides how the data will be stored and what operations will be performed on it.

A well-designed data structure allows critical operations to be performed using minimal execution time and memory space. It impacts the efficiency of algorithms and resource utilization by enabling the most efficient algorithm to be used and minimizing the use of resources.

The functional definition of a data structure is known as ADT (Abstract Data Type) and is independent of implementation. It addresses how the data will be stored and what operations will be performed on it, while remaining independent of its implementation.

The way in which data is organized within a data structure directly affects the performance of a program for different tasks. Efficient organization enables data to be quickly available to the processor for required calculations, thus influencing the program's performance.

A data structure must address how the data will be stored and what operations will be performed on it. These concerns are essential as they impact the efficiency of algorithms, resource utilization, and the overall performance of a program.