index affde6e..19a471f 100644
@@ -40,7 +40,7 @@ limit thinking is about the trend, not the destination. it's about asymptotic be
this is directly useful for thinking about:
- diminishing returns: each additional hour of study helps less than the last. the learning approaches a limit.
- convergence in iterative processes: will this negotiation converge to an agreement, or will it diverge?
-- asymptotic analysis in [computer science](/wiki/stem/computer-science): how does this algorithm behave as the input gets very large?
+- asymptotic analysis in [[computer-science|computer science]]: how does this algorithm behave as the input gets very large?
## continuity: small changes → small effects
@@ -52,8 +52,8 @@ when continuity breaks — phase transitions, tipping points, market crashes —
## the connection to other layers
-[measurement](/wiki/immediate/counting-and-measurement) gives you a snapshot. calculus tells you the story — how things are changing, where they're heading, what they'll add up to. it's the mathematical upgrade from static to dynamic thinking.
+[[counting-and-measurement|measurement]] gives you a snapshot. calculus tells you the story — how things are changing, where they're heading, what they'll add up to. it's the mathematical upgrade from static to dynamic thinking.
-[physics](/wiki/stem/physics) is where calculus was born: Newton invented it to describe motion. but the thinking patterns — rates, accumulation, limits, continuity — are universal. any time you're reasoning about change, you're doing calculus, whether or not you write down an equation. in [[stem/biology-and-medicine|biology]], calculus describes population growth, enzyme kinetics, and the spread of disease — every differential equation in the SIR model is calculus applied to living systems.
+[[physics|physics]] is where calculus was born: Newton invented it to describe motion. but the thinking patterns — rates, accumulation, limits, continuity — are universal. any time you're reasoning about change, you're doing calculus, whether or not you write down an equation. in [[biology-and-medicine|biology]], calculus describes population growth, enzyme kinetics, and the spread of disease — every differential equation in the SIR model is calculus applied to living systems.
-when the change happens in multiple dimensions simultaneously, you need [multivariable calculus](/wiki/structural/multivariable-calculus-as-thinking) — gradients, divergence, curl — which extends these ideas into the full complexity of real-world systems. and when calculus meets [[structural/linear-algebra-as-thinking|linear algebra]] — as it does in finite element analysis, neural network training, and dynamical systems — the two frameworks reinforce each other: linear algebra provides the structure, calculus provides the motion.
\ No newline at end of file
+when the change happens in multiple dimensions simultaneously, you need [[multivariable-calculus-as-thinking|multivariable calculus]] — gradients, divergence, curl — which extends these ideas into the full complexity of real-world systems. and when calculus meets [[linear-algebra-as-thinking|linear algebra]] — as it does in finite element analysis, neural network training, and dynamical systems — the two frameworks reinforce each other: linear algebra provides the structure, calculus provides the motion.
\ No newline at end of file