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Parenting Teens With ADD: Autonomy, Emotional Validation, and Family Healing | Chapter 24 of Scattered Minds by Gabor Maté

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Parenting Teens With ADD: Autonomy, Emotional Validation, and Family Healing | Chapter 24 of Scattered Minds by Gabor Maté Welcome to Last Minute Lecture’s summary of Chapter 24 from Scattered Minds by Dr. Gabor Maté. This chapter delves into the unique challenges of raising teenagers with ADD, highlighting the crucial need for empathy, emotional validation, and autonomy as teens navigate both neurological and developmental changes. Watch the full video summary below, and subscribe to Last Minute Lecture for more trauma-informed, psychology-focused chapter breakdowns and family guides: Subscribe to Last Minute Lecture for chapter-by-chapter textbook summaries and adolescent psychology resources. The Turbulence of Adolescence and ADD Dr. Maté explains that adolescence naturally amplifies ADD symptoms—heightening defiance, impulsivity, and family tension. As teens seek independence and peer connection, parents often respond with increased control, escalating conflicts and ...

Maximum Flow Algorithms — Ford-Fulkerson, Edmonds-Karp & Bipartite Matching | Chapter 24 in Introduction to Algorithms

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Maximum Flow Algorithms — Ford-Fulkerson, Edmonds-Karp & Bipartite Matching | Chapter 24 in Introduction to Algorithms Chapter 24 of Introduction to Algorithms (CLRS) tackles the maximum-flow problem —how to move the greatest possible amount of material through a network from a source to a sink without exceeding edge capacities. This problem has critical applications in transportation, communication networks, and resource allocation. The chapter introduces essential flow concepts, residual networks, augmenting paths, and foundational algorithms like Ford-Fulkerson and Edmonds-Karp . It also explains how flow models apply to bipartite matching and special network structures. 📺 Watch the full chapter summary above, or continue reading for a complete breakdown of every core concept and algorithm covered in Chapter 24. What Is a Flow Network? A flow network is a directed graph where each edge has a nonnegative capacity, and the goal is to determine how much material can ...