docs: Add documentation for in-place interpolation API#481
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ChrisRackauckas merged 2 commits intoSciML:masterfrom Nov 28, 2025
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Add a new section "In-place Evaluation (Allocation-free)" to the interface documentation that explains how to use the in-place interpolation API `interp(out, t)` to avoid memory allocations. This addresses user feedback from issue SciML#478 where the in-place interface was discovered but found to be underdocumented. The new section includes: - Explanation of when to use in-place evaluation (ODE solvers, tight loops) - Code examples for 1D data with pre-allocated output arrays - Code examples for multi-dimensional data - Performance tip highlighting the allocation benefits Closes SciML#478 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Add documentation for in-place interpolation with vector-of-arrays data
(Vector{Vector}, Vector{Matrix}), showing how to pre-allocate the output
as a vector of arrays with the same structure.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
interp(out, t)API for allocation-free interpolationMotivation
This PR addresses feedback from #478 where a user discovered the in-place interpolation API by reading the source code. The API was functional but undocumented, making it difficult for users to discover this performance-critical feature.
Changes
Added documentation covering:
Test plan
Closes #478
🤖 Generated with Claude Code