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So I just learned that Shinee x f(x) also have their own 'Lollipop' version

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deechoi🥀 WELCOME TO THE THANOS WORLD🫰

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239,080 görüntüleme • 4 ay önce •via X (Twitter)

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SM = suka meminjammember yesung shinee ✅ leeteuk shinee ✅ minho f(x) ✅
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SM = suka meminjammember yesung shinee ✅ leeteuk shinee ✅ minho f(x) ✅

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13 years ago to shinee and f(x) special stage moves like jagger. one of my favs. my f(shinee) !!
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13 years ago to shinee and f(x) special stage moves like jagger. one of my favs. my f(shinee) !!

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shinee key dancing to hot summer by f(x) 🫶
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shinee key dancing to hot summer by f(x) 🫶

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them in their own little world 10 years ago🥹 i miss shinee so much
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them in their own little world 10 years ago🥹 i miss shinee so much

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Do you actually know what convex optimization is in the geometric, guarantee-theoretic sense or have you only met it through solvers and loss curves? Convexity is rare comfort in optimization...there are no spurious local minima, no surprise traps, and inequalities you can use like tools instead of prayers. So, what is this convexity? Let x = (x₁, x₂) and let f(x) be convex. Plot the surface z = f(x). Pick a contact point x₀. The local slope is the gradient p = ∇f(x₀). That p is exactly the data that defines the supporting plane: z = f(x₀) + p · (x − x₀). Thus, f is said to be convex because for every x, f(x) ≥ f(x₀) + p · (x − x₀). So the plane at x₀ can slide under the surface, but it never slices through it. Not near the point...everywhere. Now for here is the interesting part: The slope becomes a coordinate system! Rewrite the same plane as z = p · x − b, where b is the offset. Because the plane passes through (x₀, f(x₀)), the offset is forced to be b = p · x₀ − f(x₀). And that number isn’t just geometry trivia. It’s the convex conjugate: f*(p) = sup over x ( p · x − f(x) ). At a differentiable contact point, the supporting plane touches f tightly enough that the supremum is achieved at x₀, giving the identity f*(p) = p · x₀ − f(x₀) when p = ∇f(x₀). So one moving contact point gives two linked readouts: primal position x₀ dual position (slope) p = ∇f(x₀) dual offset f*(p) One surface. Two worlds. #ConvexOptimization #Optimization #MachineLearning #SignalProcessing #AppliedMath #Engineering
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Ahhhh OLD but GOLD Chu~♡performance by my ult gg f(x)! Featuring cameos from SUJU and SHINee, I miss them!
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Ahhhh OLD but GOLD Chu~♡performance by my ult gg f(x)! Featuring cameos from SUJU and SHINee, I miss them!

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Sharing the last clip in my (unintentional) unaware slipper series. If I were her, I would have just laid down and accepted my fate. Being sealed inside that old slipper is so much worse! Happy Friday #sizetwitter x x x
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Sharing the last clip in my (unintentional) unaware slipper series. If I were her, I would have just laid down and accepted my fate. Being sealed inside that old slipper is so much worse! Happy Friday #sizetwitter x x x

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“what stands out in their evolution isn’t just musical growth but conceptual fearlessness.” monsta x is their own brand. MONSTA X IS THE BLUEPRINT.
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wasn't that impressed so i made my own version
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wasn't that impressed so i made my own version

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artms if you ever cover f(x) again i have a suggestion
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artms if you ever cover f(x) again i have a suggestion

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F(X)LOV IS REAL F(X)LOV IS REAL WE HAVE XLOV 4 WALLS OH MY GOD
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♡

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So, i present you SHINee; also know as The Princes of Kpop
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Hoping this reaches the arts and crafts side of x Anyways I made my own version of legos
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