@recoverysky/common

Shared TypeScript library for RecoverySky recovery meeting management - includes data models, schema generation pipeline, and That70sDateTime utilities

v1.1.11 URL: https://unpkg.com/@recoverysky/common@1.1.11/lib/index.js

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recoverysky recovery meetings aa na rxdb drizzle orm typescript schema offline-first

@stdlib/math-strided-special-dmskceil

Round each element in a double-precision floating-point strided array toward positive infinity according to a strided mask array.

v0.2.2 URL: https://unpkg.com/@stdlib/math-strided-special-dmskceil@0.2.2/lib/index.js

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stdlib stdmath mathematics math math.ceil ceil round integer nearest double-precision double dbl float64 float64array vector array strided ndarray element-wise mask masked missing missing values na

@stdlib/math-strided-special-dmskinv

Compute the multiplicative inverse for each element in a double-precision floating-point strided array according to a strided mask array.

v0.2.2 URL: https://unpkg.com/@stdlib/math-strided-special-dmskinv@0.2.2/lib/index.js

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stdlib inv multiplicative inverse reciprocal double-precision double dbl float64 float64array vector array strided ndarray element-wise mask masked missing missing values na

@stdlib/math-strided-special-dmskrsqrt

Compute the reciprocal square root for each element in a double-precision floating-point strided array according to a strided mask array.

v0.2.2 URL: https://unpkg.com/@stdlib/math-strided-special-dmskrsqrt@0.2.2/lib/index.js

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stdlib trig math.sqrt sqrt principal square root power number reciprocal inverse double-precision double dbl float64 float64array vector array strided ndarray element-wise mask masked missing missing values na

@stdlib/math-strided-special-dmskramp

Evaluate the ramp function for each element in a double-precision floating-point strided array according to a strided mask array.

v0.2.2 URL: https://unpkg.com/@stdlib/math-strided-special-dmskramp@0.2.2/lib/index.js

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stdlib ramp heaviside max maximum nonnegative digital signal processing dsp double-precision double dbl float64 float64array vector array strided ndarray element-wise mask masked missing missing values na