Placeholder: map, mean field game, model, shipping routes, port hurricane map, mean field game, model, shipping routes, port hurricane

@generalpha

Prompt

map, mean field game, model, shipping routes, port hurricane

statue, doubles, twins, entangled fingers, Worst Quality, ugly, ugly face, watermarks, undetailed, unrealistic, double limbs, worst hands, worst body, Disfigured, double, twin, dialog, book, multiple fingers, deformed, deformity, ugliness, poorly drawn face, extra_limb, extra limbs, bad hands, wrong hands, poorly drawn hands, messy drawing, cropped head, bad anatomy, lowres, extra digit, fewer digit, worst quality, low quality, jpeg artifacts, watermark, missing fingers, cropped, poorly drawn

8 months ago

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Model

SSD-1B

Guidance Scale

7

Dimensions

720 × 1280

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At a local level, the modulus of continuity allows us to quantify the rate at which a function or sequence can change its values within a small interval. It tells us how much the function can deviate within a specific neighborhood, providing insights into its local behavior and fluctuations. On the other hand, when we consider the global perspective, the modulus of continuity provides information about the overall behavior of the function or sequence across a larger domain. It reveals how the fu
Her words flowed like a gentle tide, carrying with them the essence of interconnectedness that bound all living beings in a harmonious symphony of existence. As she painted a vivid picture of the delicate dance of life beneath the waves, her audience found themselves transported to a world where nature's rhythms guided the ebb and flow of the coastal ecosystem. E
Local and global approaches in mathematics and machine learning are both universal approximators, but they differ in the number of parameters required to represent a given function accurately. The entire system, including data, architecture, and loss function, must be considered, as they are interconnected. Data can be noisy or biased, architecture may demand excessive parameters, and the chosen loss function may not align with the desired goal. To address these challenges, practitioners should
"A map is not just a guide, it's a promise to forge a path forward." - the journey is more important than the destination - The Map and the Territory
Local and global approaches in mathematics and machine learning are both universal approximators, but they differ in the number of parameters required to represent a given function accurately. The entire system, including data, architecture, and loss function, must be considered, as they are interconnected. Data can be noisy or biased, architecture may demand excessive parameters, and the chosen loss function may not align with the desired goal. To address these challenges, practitioners should
Let us begin by unraveling the notion of local and global perspectives. In mathematics, we often encounter functions, equations, and geometrical structures that can exhibit different behaviors depending on the scale we consider. Local refers to a specific point or neighborhood within a mathematical object, while global encompasses the entire object or a larger domain. One crucial concept that comes into play when discussing local and global phenomena is the modulus of continuity. The modulus of
Vorticity map, partial derivatives equation, turbulence
underwater
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