General updates#264
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- Fix nlopt_test.jl: Change maxeval from 100 to 10000 (was 100 - 000) - Fix multiple_shooting_objective_test.jl: Increase BFGS maxiters from 500 to 10000 These low iteration counts were likely causing test failures due to insufficient convergence. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- blackboxoptim_test.jl: Increase MaxSteps from 11e3 to 50e3 for 4-parameter optimization - weighted_loss_test.jl: Add maxeval\!(opt, 10000) for NLopt optimization These tests were still failing due to insufficient iterations for convergence. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Generate separate test data (data2, data3) for prob2 and prob3 - Update all tests to use correct data for each problem - Add random seed for reproducible test data - Increase BBO iterations for better convergence This fixes the issue where all parameter estimation tests were using data generated from prob1, causing incorrect parameter estimation for prob2 and prob3. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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