objective: videos

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1. 1▶SRP Progress in Research Summer 2026 Webinar Series: Session II (Jul 16, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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2. 2▶Phytoremediation in Practice: Design, Performance, and Case Studies for Sustainable Site Cleanup from EPA Phytotechnologies' 2025 Technology Profile (Jul 15, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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3. 3▶FY26 M2S2 Webinar: Data Usability Assessments (Jun 25, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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4. 4▶Federal Facilities Online Academy: Resolving Issues before Formal Dispute (Jun 10, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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5. 5▶Superfund Research Program (SRP) Funding Opportunity Webinar: P42 Multi-Project Center Grants (Jun 3, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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6. 6▶SRP Progress in Research Summer 2026 Webinar Series: Session I (Jun 1, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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7. 7▶FRTR Spring 2026 General Meeting: Characterizing Groundwater/Surface Water Interfaces for Effective Site Remediation Decisions and Contaminant Cleanup (Session 2) (May 21, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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8. 8▶FRTR Spring 2026 General Meeting: Characterizing Groundwater/Surface Water Interfaces for Effective Site Remediation Decisions and Contaminant Cleanup (Session 1) (May 20, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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9. 9▶Federal Facilities Online Academy: Federal Facility Five-Year Review (May 13, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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10. 10▶Federal Facilities Academy: Community Involvement at Federal Facilities (Apr 22, 2026)Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Video ArchivesNotes
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11. 11▶Objective function: gradient and descentOptimization: principles and algorithmsNotes
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12. 12▶Formulation: problem transformationsOptimization: principles and algorithmsNotes
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13. 13▶Formulation: problem definitionOptimization: principles and algorithmsNotes
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14. 14▶Objective function: preconditioningOptimization: principles and algorithmsNotes
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15. 15▶Objective function: linearity and nonlinearityOptimization: principles and algorithmsNotes
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16. 16▶Objective function: differentiability, the second order.Optimization: principles and algorithmsNotes
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17. 17▶Objective function: differentiability, the first order.Optimization: principles and algorithmsNotes
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18. 18▶Objective function: convexityOptimization: principles and algorithmsNotes
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19. 19▶Linear constraints: elimination of variablesOptimization: principles and algorithmsNotes
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20. 20▶Linear constraints: feasible directionsOptimization: principles and algorithmsNotes
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21. 21▶ProjectsSoftware Architecture & Design | UdacityNotes
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22. 22▶GradingSoftware Architecture & Design | UdacityNotes
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23. 23▶ConclusionSoftware Architecture & Design | UdacityNotes
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24. 24▶IntroductionsSoftware Architecture & Design | UdacityNotes
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25. 25▶CourseSoftware Architecture & Design | UdacityNotes
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26. 26▶ObjectivesSoftware Architecture & Design | UdacityNotes
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27. 27▶IntroductionSoftware Architecture & Design | UdacityNotes
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28. 28▶Text Browser ExerciseSoftware Architecture & Design | UdacityNotes
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29. 29▶PoliciesSoftware Architecture & Design | UdacityNotes
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30. 30▶Class ParticipationSoftware Architecture & Design | UdacityNotes
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31. 31▶Course StructureSoftware Architecture & Design | UdacityNotes
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32. 32▶ResourcesSoftware Architecture & Design | UdacityNotes
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33. 33▶WelcomeSoftware Architecture & Design | UdacityNotes
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34. 34▶AssignmentsSoftware Architecture & Design | UdacityNotes
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35. 35▶ReadingsSoftware Architecture & Design | UdacityNotes
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