Static versus Dynamic Data Structure Implementations
Static and dynamic implementations differ in storage flexibility, not in whether memory resides on the stack or heap.
Summary
Static and dynamic implementations differ in storage flexibility, not in whether memory resides on the stack or heap. Static implementations fix capacity when storage is created; dynamic implementations adjust storage during execution through resizing or node allocation. Size counts stored elements, while capacity counts how many elements fit before additional storage is needed.
| Implementation | Access and growth | Main trade-off |
|---|---|---|
| Fixed-capacity array | Indexed access is ; capacity cannot grow | Predictable memory demand without growth-related allocation pauses |
| Resizable array | Indexed access is ; a resize can take |
🧠 Key Concepts
- Fixed Capacity
- Dynamic Storage
- Size versus Capacity
- Indexed Access
- Geometric Growth
- Amortized Cost
- Link Overhead
- Cache Locality
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Static versus Dynamic Data Structure Implementations
📘 Overview Static implementations have fixed capacity, whereas dynamic implementations can change their capacity or node count during execution. This distinction concerns storage flexibility, not whether memory resides on the stack or heap.
🧠 Key Idea Choose an implementation by balancing capacity predictability, operation costs, and memory overhead. Dynamic storage supports growth but introduces resizing costs or per-node allocation and linking overhead.
⚔️ Core Details: - A static implementation fixes capacity when its storage is created. - A dynamic implementation changes its allocated storage during execution through resizing or node allocation. - Contiguous arrays provide indexed access in time in both fixed-capacity and resizable implementations. - Resizing a dynamic array may require allocating a larger block and copying elements, giving a single resize
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